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<div class="title">amg_operations.hpp</div> </div>
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<a href="host__based_2amg__operations_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="preprocessor">#ifndef VIENNACL_LINALG_HOST_BASED_AMG_OPERATIONS_HPP</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="preprocessor">#define VIENNACL_LINALG_HOST_BASED_AMG_OPERATIONS_HPP</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> </div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">/* =========================================================================</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> Copyright (c) 2010-2016, Institute for Microelectronics,</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> Institute for Analysis and Scientific Computing,</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> TU Wien.</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> Portions of this software are copyright by UChicago Argonne, LLC.</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"></span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> -----------------</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> ViennaCL - The Vienna Computing Library</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> -----------------</span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"></span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> Project Head: Karl Rupp rupp@iue.tuwien.ac.at</span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"></span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> (A list of authors and contributors can be found in the PDF manual)</span></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"></span></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> License: MIT (X11), see file LICENSE in the base directory</span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment">============================================================================= */</span></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include <cstdlib></span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include <cmath></span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="amg__base_8hpp.html">viennacl/linalg/detail/amg/amg_base.hpp</a>"</span></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include <map></span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include <set></span></div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include <functional></span></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENMP</span></div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include <omp.h></span></div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="keyword">namespace </span>viennacl</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> {</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="keyword">namespace </span>linalg</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> {</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="keyword">namespace </span>host_based</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span> {</div>
<div class="line"><a name="l00042"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html"> 42</a></span> <span class="keyword">namespace </span>amg</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span> {</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span> </div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00050"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#aad0d0cdbb26886a29123be5de75e71c1"> 50</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#aad0d0cdbb26886a29123be5de75e71c1">amg_influence_trivial</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html">viennacl::linalg::detail::amg::amg_level_context</a> & amg_context,</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html">viennacl::linalg::amg_tag</a> & tag)</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span> {</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  (void)tag;</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span> </div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * A_row_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>());</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * A_col_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>());</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *influences_row_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#ad537babcb184069cc920bfb2140860de">influence_jumper_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>());</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *influences_id_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a262b6f406db2b16b53936b8759f83d05">influence_ids_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>());</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *influences_values_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a757fe2a72ed0d9eb3649ecda1c83129e">influence_values_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>());</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENMP</span></div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="preprocessor"> #pragma omp parallel for</span></div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordflow">for</span> (<span class="keywordtype">long</span> i2=0; i2<static_cast<long>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()); ++i2)</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  {</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i = <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a>(i2);</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  influences_row_ptr[i] = A_row_buffer[i];</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  influences_values_ptr[i] = A_row_buffer[i+1] - A_row_buffer[i];</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  }</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  influences_row_ptr[A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()] = A_row_buffer[A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()];</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENMP</span></div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="preprocessor"> #pragma omp parallel for</span></div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordflow">for</span> (<span class="keywordtype">long</span> i=0; i<long(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#ae69ca21ded644fdd0c7a5168011b13ed">nnz</a>()); ++i)</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  influences_id_ptr[i] = A_col_buffer[i];</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span> }</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00084"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#a08f9050cdba67bd4d143cba3f693c657"> 84</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#a08f9050cdba67bd4d143cba3f693c657">amg_influence_advanced</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html">viennacl::linalg::detail::amg::amg_level_context</a> & amg_context,</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html">viennacl::linalg::amg_tag</a> & tag)</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span> {</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <span class="keyword">const</span> * A_elements = viennacl::linalg::host_based::detail::extract_raw_pointer<NumericT>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>());</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * A_row_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>());</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * A_col_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>());</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span> </div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *influences_row_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#ad537babcb184069cc920bfb2140860de">influence_jumper_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>());</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *influences_id_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a262b6f406db2b16b53936b8759f83d05">influence_ids_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>());</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span> </div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="comment">// Step 1: Scan influences in order to allocate the necessary memory</span></div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENMP</span></div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="preprocessor"> #pragma omp parallel for</span></div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordflow">for</span> (<span class="keywordtype">long</span> i2=0; i2<static_cast<long>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()); ++i2)</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  {</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i = <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a>(i2);</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_start = A_row_buffer[i];</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_stop = A_row_buffer[i+1];</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <a class="code" href="namespaceviennacl.html#a507d2ac469c79997f2bb6e82b37b7483">diag</a> = 0;</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> largest_positive = 0;</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> largest_negative = 0;</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_influences = 0;</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="comment">// obtain diagonal element as well as maximum positive and negative off-diagonal entries</span></div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> nnz_index = row_start; nnz_index < row_stop; ++nnz_index)</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  {</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col = A_col_buffer[nnz_index];</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> value = A_elements[nnz_index];</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordflow">if</span> (col == i)</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  diag = value;</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (value > largest_positive)</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  largest_positive = value;</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (value < largest_negative)</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  largest_negative = value;</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  }</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keywordflow">if</span> (largest_positive <= 0 && largest_negative >= 0) <span class="comment">// no offdiagonal entries</span></div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  {</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  influences_row_ptr[i] = 0;</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  }</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span> </div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="comment">// Find all points that strongly influence current point (Yang, p.5)</span></div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="comment">//std::cout << "Looking for strongly influencing points for point " << i << std::endl;</span></div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> nnz_index = row_start; nnz_index < row_stop; ++nnz_index)</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  {</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col = A_col_buffer[nnz_index];</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span> </div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keywordflow">if</span> (i == col)</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span> </div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> value = A_elements[nnz_index];</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span> </div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keywordflow">if</span> ( (diag > 0 && diag * value <= tag.<a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html#a6f26714c41733e4e6546997e962dafa4">get_strong_connection_threshold</a>() * diag * largest_negative)</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  || (diag < 0 && diag * value <= tag.<a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html#a6f26714c41733e4e6546997e962dafa4">get_strong_connection_threshold</a>() * diag * largest_positive))</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  {</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  ++num_influences;</div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  }</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  }</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span> </div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  influences_row_ptr[i] = num_influences;</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  }</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span> </div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="comment">// Step 2: Exclusive scan on number of influences to obtain CSR-like datastructure</span></div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> current_entry = 0;</div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordflow">for</span> (std::size_t i=0; i<A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(); ++i)</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  {</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> tmp = influences_row_ptr[i];</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  influences_row_ptr[i] = current_entry;</div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  current_entry += tmp;</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  }</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  influences_row_ptr[A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()] = current_entry;</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span> </div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span> </div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="comment">// Step 3: Write actual influences</span></div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENMP</span></div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span> <span class="preprocessor"> #pragma omp parallel for</span></div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keywordflow">for</span> (<span class="keywordtype">long</span> i2=0; i2<static_cast<long>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()); ++i2)</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  {</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(i2);</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_start = A_row_buffer[i];</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_stop = A_row_buffer[i+1];</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <a class="code" href="namespaceviennacl.html#a507d2ac469c79997f2bb6e82b37b7483">diag</a> = 0;</div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> largest_positive = 0;</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> largest_negative = 0;</div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="comment">// obtain diagonal element as well as maximum positive and negative off-diagonal entries</span></div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> nnz_index = row_start; nnz_index < row_stop; ++nnz_index)</div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  {</div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col = A_col_buffer[nnz_index];</div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> value = A_elements[nnz_index];</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span> </div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keywordflow">if</span> (col == i)</div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  diag = value;</div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (value > largest_positive)</div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  largest_positive = value;</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (value < largest_negative)</div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  largest_negative = value;</div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  }</div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span> </div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="keywordflow">if</span> (largest_positive <= 0 && largest_negative >= 0) <span class="comment">// no offdiagonal entries</span></div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span> </div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="comment">// Find all points that strongly influence current point (Yang, p.5)</span></div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="comment">//std::cout << "Looking for strongly influencing points for point " << i << std::endl;</span></div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *influences_id_write_ptr = influences_id_ptr + influences_row_ptr[i];</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> nnz_index = row_start; nnz_index < row_stop; ++nnz_index)</div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  {</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col = A_col_buffer[nnz_index];</div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span> </div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="keywordflow">if</span> (i == col)</div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span> </div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> value = A_elements[nnz_index];</div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span> </div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keywordflow">if</span> ( (diag > 0 && diag * value <= tag.<a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html#a6f26714c41733e4e6546997e962dafa4">get_strong_connection_threshold</a>() * diag * largest_negative)</div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  || (diag < 0 && diag * value <= tag.<a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html#a6f26714c41733e4e6546997e962dafa4">get_strong_connection_threshold</a>() * diag * largest_positive))</div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  {</div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="comment">//std::cout << " - Adding influence from point " << col << std::endl;</span></div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  *influences_id_write_ptr = col;</div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  ++influences_id_write_ptr;</div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  }</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  }</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  }</div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span> </div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span> }</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span> </div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span> </div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00224"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#a07adc302c361376437c88f1c1e7e0845"> 224</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#a07adc302c361376437c88f1c1e7e0845">amg_influence</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html">viennacl::linalg::detail::amg::amg_level_context</a> & amg_context,</div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html">viennacl::linalg::amg_tag</a> & tag)</div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span> {</div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="comment">// TODO: dispatch based on influence tolerance provided</span></div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#aad0d0cdbb26886a29123be5de75e71c1">amg_influence_trivial</a>(A, amg_context, tag);</div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span> }</div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span> </div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span> </div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span> </div>
<div class="line"><a name="l00235"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#a3b04b036fef83cb3a24969ece6969fcb"> 235</a></span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#a3b04b036fef83cb3a24969ece6969fcb">enumerate_coarse_points</a>(<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html">viennacl::linalg::detail::amg::amg_level_context</a> & amg_context)</div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span> {</div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *point_types_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a8856e6db54e88c12e2ac728b5fcbe1e4">point_types_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>());</div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *coarse_id_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa647069a4102267171e395fcfd10e7ac">coarse_id_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>());</div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span> </div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> coarse_id = 0;</div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i=0; i<amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa647069a4102267171e395fcfd10e7ac">coarse_id_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">size</a>(); ++i)</div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  {</div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="comment">//assert(point_types_ptr[i] != viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_UNDECIDED && bool("Logic error in enumerate_coarse_points(): Undecided points detected!"));</span></div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span> </div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keywordflow">if</span> (point_types_ptr[i] == <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637afbc2c39efc86491c26c2401d06f2cc8a">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_COARSE</a>)</div>
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  coarse_id_ptr[i] = coarse_id++;</div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  }</div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span> </div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="comment">//std::cout << "Coarse nodes after enumerate_coarse_points(): " << coarse_id << std::endl;</span></div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aac5a6ef480cf58fb8fa490760bb94e35">num_coarse_</a> = coarse_id;</div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span> }</div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span> </div>
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span> </div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span> </div>
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span> </div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span> </div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span> </div>
<div class="line"><a name="l00260"></a><span class="lineno"><a class="line" href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html"> 260</a></span> <span class="keyword">struct </span><a class="code" href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html">amg_id_influence</a></div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span> {</div>
<div class="line"><a name="l00262"></a><span class="lineno"><a class="line" href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html#ac8fbdb695eba99cd34b724b8f8a1b90f"> 262</a></span>  <a class="code" href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html#ac8fbdb695eba99cd34b724b8f8a1b90f">amg_id_influence</a>(std::size_t id2, std::size_t influences2) : <a class="code" href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html#a8d18e6a95737bd67478af70d84513407">id</a>(static_cast<unsigned int>(id2)), <a class="code" href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html#ab639ffa0356786000ae91eb51b642657">influences</a>(static_cast<unsigned int>(influences2)) {}</div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span> </div>
<div class="line"><a name="l00264"></a><span class="lineno"><a class="line" href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html#a8d18e6a95737bd67478af70d84513407"> 264</a></span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html#a8d18e6a95737bd67478af70d84513407">id</a>;</div>
<div class="line"><a name="l00265"></a><span class="lineno"><a class="line" href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html#ab639ffa0356786000ae91eb51b642657"> 265</a></span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html#ab639ffa0356786000ae91eb51b642657">influences</a>;</div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span> };</div>
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span> </div>
<div class="line"><a name="l00268"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#aa0902e5a65f61dc57462ac3d5584b1aa"> 268</a></span> <span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#aa0902e5a65f61dc57462ac3d5584b1aa">operator></a>(<a class="code" href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html">amg_id_influence</a> <span class="keyword">const</span> & a, <a class="code" href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html">amg_id_influence</a> <span class="keyword">const</span> & b)</div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span> {</div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keywordflow">if</span> (a.<a class="code" href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html#ab639ffa0356786000ae91eb51b642657">influences</a> > b.<a class="code" href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html#ab639ffa0356786000ae91eb51b642657">influences</a>)</div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keywordflow">if</span> (a.<a class="code" href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html#ab639ffa0356786000ae91eb51b642657">influences</a> == b.<a class="code" href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html#ab639ffa0356786000ae91eb51b642657">influences</a>)</div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keywordflow">return</span> a.<a class="code" href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html#a8d18e6a95737bd67478af70d84513407">id</a> > b.<a class="code" href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html#a8d18e6a95737bd67478af70d84513407">id</a>;</div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span> }</div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span> </div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00284"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#afe1f07dfaab78dae1f5860c562a7cba3"> 284</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#afe1f07dfaab78dae1f5860c562a7cba3">amg_coarse_classic_onepass</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html">viennacl::linalg::detail::amg::amg_level_context</a> & amg_context,</div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html">viennacl::linalg::amg_tag</a> & tag)</div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span> {</div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *point_types_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a8856e6db54e88c12e2ac728b5fcbe1e4">point_types_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>());</div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *influences_row_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#ad537babcb184069cc920bfb2140860de">influence_jumper_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>());</div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *influences_id_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a262b6f406db2b16b53936b8759f83d05">influence_ids_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>());</div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *influences_values_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a757fe2a72ed0d9eb3649ecda1c83129e">influence_values_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>());</div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span> </div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  std::set<amg_id_influence, std::greater<amg_id_influence> > points_by_influences;</div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span> </div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#a08f9050cdba67bd4d143cba3f693c657">amg_influence_advanced</a>(A, amg_context, tag);</div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span> </div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="keywordflow">for</span> (std::size_t i=0; i<A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(); ++i)</div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  points_by_influences.insert(<a class="code" href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html">amg_id_influence</a>(i, influences_values_ptr[i]));</div>
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span> </div>
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <span class="comment">//std::cout << "Starting coarsening process..." << std::endl;</span></div>
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span> </div>
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="keywordflow">while</span> (!points_by_influences.empty())</div>
<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  {</div>
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <a class="code" href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html">amg_id_influence</a> point = *(points_by_influences.begin());</div>
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span> </div>
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="comment">// remove point from queue:</span></div>
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  points_by_influences.erase(points_by_influences.begin());</div>
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span> </div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="comment">//std::cout << "Working on point " << point.id << std::endl;</span></div>
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span> </div>
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="comment">// point is already coarse or fine point, continue;</span></div>
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="keywordflow">if</span> (point_types_ptr[point.<a class="code" href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html#a8d18e6a95737bd67478af70d84513407">id</a>] != <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637adf77f4d874aa905e58b1d01448d599b7">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_UNDECIDED</a>)</div>
<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span> </div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="comment">//std::cout << " Setting point " << point.id << " to a coarse point." << std::endl;</span></div>
<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <span class="comment">// make this a coarse point:</span></div>
<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  point_types_ptr[point.<a class="code" href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html#a8d18e6a95737bd67478af70d84513407">id</a>] = <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637afbc2c39efc86491c26c2401d06f2cc8a">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_COARSE</a>;</div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span> </div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="comment">// Set strongly influenced points to fine points:</span></div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j_stop = influences_row_ptr[point.<a class="code" href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html#a8d18e6a95737bd67478af70d84513407">id</a> + 1];</div>
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = influences_row_ptr[point.<a class="code" href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html#a8d18e6a95737bd67478af70d84513407">id</a>]; j < j_stop; ++j)</div>
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  {</div>
<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> influenced_point_id = influences_id_ptr[j];</div>
<div class="line"><a name="l00324"></a><span class="lineno"> 324</span> </div>
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <span class="comment">//std::cout << "Checking point " << influenced_point_id << std::endl;</span></div>
<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <span class="keywordflow">if</span> (point_types_ptr[influenced_point_id] != <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637adf77f4d874aa905e58b1d01448d599b7">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_UNDECIDED</a>)</div>
<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l00328"></a><span class="lineno"> 328</span> </div>
<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="comment">//std::cout << " Setting point " << influenced_point_id << " to a fine point." << std::endl;</span></div>
<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  point_types_ptr[influenced_point_id] = <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637af803b8af4a6abdaf3d0fd08c18da6de6">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_FINE</a>;</div>
<div class="line"><a name="l00331"></a><span class="lineno"> 331</span> </div>
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="comment">// add one to influence measure for all undecided points strongly influencing this fine point.</span></div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> k_stop = influences_row_ptr[influenced_point_id + 1];</div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> k = influences_row_ptr[influenced_point_id]; k < k_stop; ++k)</div>
<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  {</div>
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> influenced_influenced_point_id = influences_id_ptr[k];</div>
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="keywordflow">if</span> (point_types_ptr[influenced_influenced_point_id] == <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637adf77f4d874aa905e58b1d01448d599b7">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_UNDECIDED</a>)</div>
<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  {</div>
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="comment">// grab and remove from set, increase influence counter, store back:</span></div>
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <a class="code" href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html">amg_id_influence</a> point_to_find(influenced_influenced_point_id, influences_values_ptr[influenced_influenced_point_id]);</div>
<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  points_by_influences.erase(point_to_find);</div>
<div class="line"><a name="l00342"></a><span class="lineno"> 342</span> </div>
<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  point_to_find.<a class="code" href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html#ab639ffa0356786000ae91eb51b642657">influences</a> += 1;</div>
<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  influences_values_ptr[influenced_influenced_point_id] += 1; <span class="comment">// for consistency</span></div>
<div class="line"><a name="l00345"></a><span class="lineno"> 345</span> </div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  points_by_influences.insert(point_to_find);</div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  }</div>
<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  } <span class="comment">//for</span></div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  } <span class="comment">// for</span></div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span> </div>
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  } <span class="comment">// while</span></div>
<div class="line"><a name="l00352"></a><span class="lineno"> 352</span> </div>
<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#a3b04b036fef83cb3a24969ece6969fcb">viennacl::linalg::host_based::amg::enumerate_coarse_points</a>(amg_context);</div>
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span> }</div>
<div class="line"><a name="l00355"></a><span class="lineno"> 355</span> </div>
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span> </div>
<div class="line"><a name="l00358"></a><span class="lineno"> 358</span> </div>
<div class="line"><a name="l00359"></a><span class="lineno"> 359</span> </div>
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00367"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#ad0eba4a8b7bc47d8c3e9ac58e7432625"> 367</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#ad0eba4a8b7bc47d8c3e9ac58e7432625">amg_coarse_ag_stage1_sequential</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html">viennacl::linalg::detail::amg::amg_level_context</a> & amg_context,</div>
<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html">viennacl::linalg::amg_tag</a> & tag)</div>
<div class="line"><a name="l00370"></a><span class="lineno"> 370</span> {</div>
<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  (void)tag;</div>
<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *point_types_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a8856e6db54e88c12e2ac728b5fcbe1e4">point_types_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>());</div>
<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *influences_row_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#ad537babcb184069cc920bfb2140860de">influence_jumper_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>());</div>
<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *influences_id_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a262b6f406db2b16b53936b8759f83d05">influence_ids_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>());</div>
<div class="line"><a name="l00375"></a><span class="lineno"> 375</span> </div>
<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0; i<static_cast<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()); ++i)</div>
<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  {</div>
<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <span class="comment">// check if node has no aggregates next to it (MIS-2)</span></div>
<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <span class="keywordtype">bool</span> is_new_coarse_node = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00380"></a><span class="lineno"> 380</span> </div>
<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <span class="comment">// Set strongly influenced points to fine points:</span></div>
<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j_stop = influences_row_ptr[i + 1];</div>
<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = influences_row_ptr[i]; j < j_stop; ++j)</div>
<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  {</div>
<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> influenced_point_id = influences_id_ptr[j];</div>
<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <span class="keywordflow">if</span> (point_types_ptr[influenced_point_id] != <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637adf77f4d874aa905e58b1d01448d599b7">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_UNDECIDED</a>) <span class="comment">// either coarse or fine point</span></div>
<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  {</div>
<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  is_new_coarse_node = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  }</div>
<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  }</div>
<div class="line"><a name="l00392"></a><span class="lineno"> 392</span> </div>
<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keywordflow">if</span> (is_new_coarse_node)</div>
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  {</div>
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="comment">// make all strongly influenced neighbors fine points:</span></div>
<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = influences_row_ptr[i]; j < j_stop; ++j)</div>
<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  {</div>
<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> influenced_point_id = influences_id_ptr[j];</div>
<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  point_types_ptr[influenced_point_id] = <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637af803b8af4a6abdaf3d0fd08c18da6de6">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_FINE</a>;</div>
<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  }</div>
<div class="line"><a name="l00401"></a><span class="lineno"> 401</span> </div>
<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="comment">//std::cout << "Setting new coarse node: " << i << std::endl;</span></div>
<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="comment">// Note: influences may include diagonal element, so it's important to *first* set fine points above before setting the coarse information here</span></div>
<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  point_types_ptr[i] = <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637afbc2c39efc86491c26c2401d06f2cc8a">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_COARSE</a>;</div>
<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  }</div>
<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  }</div>
<div class="line"><a name="l00407"></a><span class="lineno"> 407</span> }</div>
<div class="line"><a name="l00408"></a><span class="lineno"> 408</span> </div>
<div class="line"><a name="l00409"></a><span class="lineno"> 409</span> </div>
<div class="line"><a name="l00410"></a><span class="lineno"> 410</span> </div>
<div class="line"><a name="l00417"></a><span class="lineno"> 417</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00418"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#ab86571b812e63c9a26a54e2b5d5d07ad"> 418</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#ab86571b812e63c9a26a54e2b5d5d07ad">amg_coarse_ag_stage1_mis2</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html">viennacl::linalg::detail::amg::amg_level_context</a> & amg_context,</div>
<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html">viennacl::linalg::amg_tag</a> & tag)</div>
<div class="line"><a name="l00421"></a><span class="lineno"> 421</span> {</div>
<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  (void)tag;</div>
<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *point_types_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a8856e6db54e88c12e2ac728b5fcbe1e4">point_types_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>());</div>
<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *influences_row_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#ad537babcb184069cc920bfb2140860de">influence_jumper_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>());</div>
<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *influences_id_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a262b6f406db2b16b53936b8759f83d05">influence_ids_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>());</div>
<div class="line"><a name="l00426"></a><span class="lineno"> 426</span> </div>
<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  std::vector<unsigned int> random_weights(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>());</div>
<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <span class="keywordflow">for</span> (std::size_t i=0; i<random_weights.size(); ++i)</div>
<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  random_weights[i] = static_cast<unsigned int>(rand()) % static_cast<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>());</div>
<div class="line"><a name="l00430"></a><span class="lineno"> 430</span> </div>
<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  std::size_t num_threads = 1;</div>
<div class="line"><a name="l00432"></a><span class="lineno"> 432</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENMP</span></div>
<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  num_threads = omp_get_max_threads();</div>
<div class="line"><a name="l00434"></a><span class="lineno"> 434</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00435"></a><span class="lineno"> 435</span> </div>
<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<unsigned int></a> work_state(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(A));</div>
<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<unsigned int></a> work_random(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(A));</div>
<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<unsigned int></a> work_index(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(A));</div>
<div class="line"><a name="l00439"></a><span class="lineno"> 439</span> </div>
<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *work_state_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(work_state.handle());</div>
<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *work_random_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(work_random.handle());</div>
<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *work_index_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(work_index.handle());</div>
<div class="line"><a name="l00443"></a><span class="lineno"> 443</span> </div>
<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<unsigned int></a> work_state2(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(A));</div>
<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<unsigned int></a> work_random2(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(A));</div>
<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<unsigned int></a> work_index2(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(A));</div>
<div class="line"><a name="l00447"></a><span class="lineno"> 447</span> </div>
<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *work_state2_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(work_state2.handle());</div>
<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *work_random2_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(work_random2.handle());</div>
<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *work_index2_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(work_index2.handle());</div>
<div class="line"><a name="l00451"></a><span class="lineno"> 451</span> </div>
<div class="line"><a name="l00452"></a><span class="lineno"> 452</span> </div>
<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_undecided = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>());</div>
<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> pmis_iters = 0;</div>
<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <span class="keywordflow">while</span> (num_undecided > 0)</div>
<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  {</div>
<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  ++pmis_iters;</div>
<div class="line"><a name="l00458"></a><span class="lineno"> 458</span> </div>
<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <span class="comment">// init temporary work data:</span></div>
<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00462"></a><span class="lineno"> 462</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENMP</span></div>
<div class="line"><a name="l00463"></a><span class="lineno"> 463</span> <span class="preprocessor"> #pragma omp parallel for</span></div>
<div class="line"><a name="l00464"></a><span class="lineno"> 464</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <span class="keywordflow">for</span> (<span class="keywordtype">long</span> i2=0; i2<static_cast<long>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()); ++i2)</div>
<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  {</div>
<div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(i2);</div>
<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <span class="keywordflow">switch</span> (point_types_ptr[i])</div>
<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  {</div>
<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  <span class="keywordflow">case</span> <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637adf77f4d874aa905e58b1d01448d599b7">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_UNDECIDED</a>: work_state_ptr[i] = 1; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <span class="keywordflow">case</span> <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637af803b8af4a6abdaf3d0fd08c18da6de6">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_FINE</a>: work_state_ptr[i] = 0; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  <span class="keywordflow">case</span> <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637afbc2c39efc86491c26c2401d06f2cc8a">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_COARSE</a>: work_state_ptr[i] = 2; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"Unexpected state encountered in MIS2 setup for AMG."</span>);</div>
<div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  }</div>
<div class="line"><a name="l00476"></a><span class="lineno"> 476</span> </div>
<div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  work_random_ptr[i] = random_weights[i];</div>
<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  work_index_ptr[i] = i;</div>
<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  }</div>
<div class="line"><a name="l00480"></a><span class="lineno"> 480</span> </div>
<div class="line"><a name="l00481"></a><span class="lineno"> 481</span> </div>
<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <span class="comment">// Propagate maximum tuple twice</span></div>
<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> r = 0; r < 2; ++r)</div>
<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  {</div>
<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <span class="comment">// max operation</span></div>
<div class="line"><a name="l00488"></a><span class="lineno"> 488</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENMP</span></div>
<div class="line"><a name="l00489"></a><span class="lineno"> 489</span> <span class="preprocessor"> #pragma omp parallel for</span></div>
<div class="line"><a name="l00490"></a><span class="lineno"> 490</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  <span class="keywordflow">for</span> (<span class="keywordtype">long</span> i2=0; i2<static_cast<long>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()); ++i2)</div>
<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  {</div>
<div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(i2);</div>
<div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <span class="comment">// load</span></div>
<div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> state = work_state_ptr[i];</div>
<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> random = work_random_ptr[i];</div>
<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index = work_index_ptr[i];</div>
<div class="line"><a name="l00498"></a><span class="lineno"> 498</span> </div>
<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <span class="comment">// max</span></div>
<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j_stop = influences_row_ptr[i + 1];</div>
<div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = influences_row_ptr[i]; j < j_stop; ++j)</div>
<div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  {</div>
<div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> influenced_point_id = influences_id_ptr[j];</div>
<div class="line"><a name="l00504"></a><span class="lineno"> 504</span> </div>
<div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <span class="comment">// lexigraphical triple-max (not particularly pretty, but does the job):</span></div>
<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <span class="keywordflow">if</span> (state < work_state_ptr[influenced_point_id])</div>
<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  {</div>
<div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  state = work_state_ptr[influenced_point_id];</div>
<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  random = work_random_ptr[influenced_point_id];</div>
<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  index = work_index_ptr[influenced_point_id];</div>
<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  }</div>
<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (state == work_state_ptr[influenced_point_id])</div>
<div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  {</div>
<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <span class="keywordflow">if</span> (random < work_random_ptr[influenced_point_id])</div>
<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  {</div>
<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  state = work_state_ptr[influenced_point_id];</div>
<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  random = work_random_ptr[influenced_point_id];</div>
<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  index = work_index_ptr[influenced_point_id];</div>
<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  }</div>
<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (random == work_random_ptr[influenced_point_id])</div>
<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  {</div>
<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <span class="keywordflow">if</span> (index < work_index_ptr[influenced_point_id])</div>
<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  {</div>
<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  state = work_state_ptr[influenced_point_id];</div>
<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  random = work_random_ptr[influenced_point_id];</div>
<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  index = work_index_ptr[influenced_point_id];</div>
<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  }</div>
<div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  } <span class="comment">// max(random)</span></div>
<div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  } <span class="comment">// max(state)</span></div>
<div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  } <span class="comment">// for</span></div>
<div class="line"><a name="l00531"></a><span class="lineno"> 531</span> </div>
<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <span class="comment">// store</span></div>
<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  work_state2_ptr[i] = state;</div>
<div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  work_random2_ptr[i] = random;</div>
<div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  work_index2_ptr[i] = index;</div>
<div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  }</div>
<div class="line"><a name="l00537"></a><span class="lineno"> 537</span> </div>
<div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  <span class="comment">// copy work array</span></div>
<div class="line"><a name="l00539"></a><span class="lineno"> 539</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENMP</span></div>
<div class="line"><a name="l00540"></a><span class="lineno"> 540</span> <span class="preprocessor"> #pragma omp parallel for</span></div>
<div class="line"><a name="l00541"></a><span class="lineno"> 541</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <span class="keywordflow">for</span> (<span class="keywordtype">long</span> i2=0; i2<static_cast<long>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()); ++i2)</div>
<div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  {</div>
<div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(i2);</div>
<div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  work_state_ptr[i] = work_state2_ptr[i];</div>
<div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  work_random_ptr[i] = work_random2_ptr[i];</div>
<div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  work_index_ptr[i] = work_index2_ptr[i];</div>
<div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  }</div>
<div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  }</div>
<div class="line"><a name="l00550"></a><span class="lineno"> 550</span> </div>
<div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="comment">// mark MIS and non-MIS nodes:</span></div>
<div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  std::vector<unsigned int> thread_buffer(num_threads);</div>
<div class="line"><a name="l00555"></a><span class="lineno"> 555</span> </div>
<div class="line"><a name="l00556"></a><span class="lineno"> 556</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENMP</span></div>
<div class="line"><a name="l00557"></a><span class="lineno"> 557</span> <span class="preprocessor"> #pragma omp parallel for</span></div>
<div class="line"><a name="l00558"></a><span class="lineno"> 558</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  <span class="keywordflow">for</span> (<span class="keywordtype">long</span> i2=0; i2<static_cast<long>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()); ++i2)</div>
<div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  {</div>
<div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(i2);</div>
<div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> max_state = work_state_ptr[i];</div>
<div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> max_index = work_index_ptr[i];</div>
<div class="line"><a name="l00564"></a><span class="lineno"> 564</span> </div>
<div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  <span class="keywordflow">if</span> (point_types_ptr[i] == <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637adf77f4d874aa905e58b1d01448d599b7">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_UNDECIDED</a>)</div>
<div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  {</div>
<div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  <span class="keywordflow">if</span> (i == max_index) <span class="comment">// make this a MIS node</span></div>
<div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  point_types_ptr[i] = <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637afbc2c39efc86491c26c2401d06f2cc8a">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_COARSE</a>;</div>
<div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (max_state == 2) <span class="comment">// mind the mapping of viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_COARSE above!</span></div>
<div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  point_types_ptr[i] = <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637af803b8af4a6abdaf3d0fd08c18da6de6">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_FINE</a>;</div>
<div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00572"></a><span class="lineno"> 572</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENMP</span></div>
<div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  thread_buffer[omp_get_thread_num()] += 1;</div>
<div class="line"><a name="l00574"></a><span class="lineno"> 574</span> <span class="preprocessor">#else</span></div>
<div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  thread_buffer[0] += 1;</div>
<div class="line"><a name="l00576"></a><span class="lineno"> 576</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  }</div>
<div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  }</div>
<div class="line"><a name="l00579"></a><span class="lineno"> 579</span> </div>
<div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  num_undecided = 0;</div>
<div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  <span class="keywordflow">for</span> (std::size_t i=0; i<thread_buffer.size(); ++i)</div>
<div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  num_undecided += thread_buffer[i];</div>
<div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  } <span class="comment">// while</span></div>
<div class="line"><a name="l00584"></a><span class="lineno"> 584</span> </div>
<div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  <span class="comment">// consistency with sequential MIS: reset state for non-coarse points, so that coarse indices are correctly picked up later</span></div>
<div class="line"><a name="l00586"></a><span class="lineno"> 586</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENMP</span></div>
<div class="line"><a name="l00587"></a><span class="lineno"> 587</span> <span class="preprocessor"> #pragma omp parallel for</span></div>
<div class="line"><a name="l00588"></a><span class="lineno"> 588</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  <span class="keywordflow">for</span> (<span class="keywordtype">long</span> i=0; i<static_cast<long>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()); ++i)</div>
<div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  <span class="keywordflow">if</span> (point_types_ptr[i] != <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637afbc2c39efc86491c26c2401d06f2cc8a">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_COARSE</a>)</div>
<div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  point_types_ptr[i] = <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637adf77f4d874aa905e58b1d01448d599b7">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_UNDECIDED</a>;</div>
<div class="line"><a name="l00592"></a><span class="lineno"> 592</span> </div>
<div class="line"><a name="l00593"></a><span class="lineno"> 593</span> }</div>
<div class="line"><a name="l00594"></a><span class="lineno"> 594</span> </div>
<div class="line"><a name="l00595"></a><span class="lineno"> 595</span> </div>
<div class="line"><a name="l00596"></a><span class="lineno"> 596</span> </div>
<div class="line"><a name="l00603"></a><span class="lineno"> 603</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00604"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#a7c21abf839b6d91846fcfa8d968e3233"> 604</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#a7c21abf839b6d91846fcfa8d968e3233">amg_coarse_ag</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html">viennacl::linalg::detail::amg::amg_level_context</a> & amg_context,</div>
<div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  <a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html">viennacl::linalg::amg_tag</a> & tag)</div>
<div class="line"><a name="l00607"></a><span class="lineno"> 607</span> {</div>
<div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *point_types_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a8856e6db54e88c12e2ac728b5fcbe1e4">point_types_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>());</div>
<div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *influences_row_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#ad537babcb184069cc920bfb2140860de">influence_jumper_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>());</div>
<div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *influences_id_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a262b6f406db2b16b53936b8759f83d05">influence_ids_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>());</div>
<div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *coarse_id_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa647069a4102267171e395fcfd10e7ac">coarse_id_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>());</div>
<div class="line"><a name="l00612"></a><span class="lineno"> 612</span> </div>
<div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#aad0d0cdbb26886a29123be5de75e71c1">amg_influence_trivial</a>(A, amg_context, tag);</div>
<div class="line"><a name="l00614"></a><span class="lineno"> 614</span> </div>
<div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  <span class="comment">// Stage 1: Build aggregates:</span></div>
<div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  <span class="keywordflow">if</span> (tag.<a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html#a37cf475ac353f457a3b14879a1140e14">get_coarsening_method</a>() == <a class="code" href="namespaceviennacl_1_1linalg.html#a3ba810acdca541a5eada4560982a645ca867e1cc6319da3a2d502c9878d27170d">viennacl::linalg::AMG_COARSENING_METHOD_AGGREGATION</a>) <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#ad0eba4a8b7bc47d8c3e9ac58e7432625">amg_coarse_ag_stage1_sequential</a>(A, amg_context, tag);</div>
<div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  <span class="keywordflow">if</span> (tag.<a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html#a37cf475ac353f457a3b14879a1140e14">get_coarsening_method</a>() == <a class="code" href="namespaceviennacl_1_1linalg.html#a3ba810acdca541a5eada4560982a645ca0d4c883a9aa8a8514fb260ac404e3c8b">viennacl::linalg::AMG_COARSENING_METHOD_MIS2_AGGREGATION</a>) <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#ab86571b812e63c9a26a54e2b5d5d07ad">amg_coarse_ag_stage1_mis2</a>(A, amg_context, tag);</div>
<div class="line"><a name="l00620"></a><span class="lineno"> 620</span> </div>
<div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#a3b04b036fef83cb3a24969ece6969fcb">viennacl::linalg::host_based::amg::enumerate_coarse_points</a>(amg_context);</div>
<div class="line"><a name="l00622"></a><span class="lineno"> 622</span> </div>
<div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  <span class="comment">// Stage 2: Propagate coarse aggregate indices to neighbors:</span></div>
<div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00626"></a><span class="lineno"> 626</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENMP</span></div>
<div class="line"><a name="l00627"></a><span class="lineno"> 627</span> <span class="preprocessor"> #pragma omp parallel for</span></div>
<div class="line"><a name="l00628"></a><span class="lineno"> 628</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  <span class="keywordflow">for</span> (<span class="keywordtype">long</span> i2=0; i2<static_cast<long>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()); ++i2)</div>
<div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  {</div>
<div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(i2);</div>
<div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  <span class="keywordflow">if</span> (point_types_ptr[i] == <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637afbc2c39efc86491c26c2401d06f2cc8a">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_COARSE</a>)</div>
<div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  {</div>
<div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> coarse_index = coarse_id_ptr[i];</div>
<div class="line"><a name="l00635"></a><span class="lineno"> 635</span> </div>
<div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j_stop = influences_row_ptr[i + 1];</div>
<div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = influences_row_ptr[i]; j < j_stop; ++j)</div>
<div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  {</div>
<div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> influenced_point_id = influences_id_ptr[j];</div>
<div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  coarse_id_ptr[influenced_point_id] = coarse_index; <span class="comment">// Set aggregate index for fine point</span></div>
<div class="line"><a name="l00641"></a><span class="lineno"> 641</span> </div>
<div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  <span class="keywordflow">if</span> (influenced_point_id != i) <span class="comment">// Note: Any write races between threads are harmless here</span></div>
<div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  point_types_ptr[influenced_point_id] = <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637af803b8af4a6abdaf3d0fd08c18da6de6">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_FINE</a>;</div>
<div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  }</div>
<div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  }</div>
<div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  }</div>
<div class="line"><a name="l00647"></a><span class="lineno"> 647</span> </div>
<div class="line"><a name="l00648"></a><span class="lineno"> 648</span> </div>
<div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  <span class="comment">// Stage 3: Merge remaining undecided points (merging to first aggregate found when cycling over the hierarchy</span></div>
<div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00652"></a><span class="lineno"> 652</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENMP</span></div>
<div class="line"><a name="l00653"></a><span class="lineno"> 653</span> <span class="preprocessor"> #pragma omp parallel for</span></div>
<div class="line"><a name="l00654"></a><span class="lineno"> 654</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  <span class="keywordflow">for</span> (<span class="keywordtype">long</span> i2=0; i2<static_cast<long>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()); ++i2)</div>
<div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  {</div>
<div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(i2);</div>
<div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  <span class="keywordflow">if</span> (point_types_ptr[i] == <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637adf77f4d874aa905e58b1d01448d599b7">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_UNDECIDED</a>)</div>
<div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  {</div>
<div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j_stop = influences_row_ptr[i + 1];</div>
<div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = influences_row_ptr[i]; j < j_stop; ++j)</div>
<div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  {</div>
<div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> influenced_point_id = influences_id_ptr[j];</div>
<div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  <span class="keywordflow">if</span> (point_types_ptr[influenced_point_id] != <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637adf77f4d874aa905e58b1d01448d599b7">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_UNDECIDED</a>) <span class="comment">// either coarse or fine point</span></div>
<div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  {</div>
<div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  <span class="comment">//std::cout << "Setting fine node " << i << " to be aggregated with node " << *influence_iter << "/" << pointvector.get_coarse_index(*influence_iter) << std::endl;</span></div>
<div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  coarse_id_ptr[i] = coarse_id_ptr[influenced_point_id];</div>
<div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  }</div>
<div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  }</div>
<div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  }</div>
<div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  }</div>
<div class="line"><a name="l00673"></a><span class="lineno"> 673</span> </div>
<div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  <span class="comment">// Stage 4: Set undecided points to fine points (coarse ID already set in Stage 3)</span></div>
<div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  <span class="comment">// Note: Stage 3 and Stage 4 were initially fused, but are now split in order to avoid race conditions (or a fallback to sequential execution).</span></div>
<div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00678"></a><span class="lineno"> 678</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENMP</span></div>
<div class="line"><a name="l00679"></a><span class="lineno"> 679</span> <span class="preprocessor"> #pragma omp parallel for</span></div>
<div class="line"><a name="l00680"></a><span class="lineno"> 680</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  <span class="keywordflow">for</span> (<span class="keywordtype">long</span> i=0; i<static_cast<long>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()); ++i)</div>
<div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  <span class="keywordflow">if</span> (point_types_ptr[i] == <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637adf77f4d874aa905e58b1d01448d599b7">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_UNDECIDED</a>)</div>
<div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  point_types_ptr[i] = <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637af803b8af4a6abdaf3d0fd08c18da6de6">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_FINE</a>;</div>
<div class="line"><a name="l00684"></a><span class="lineno"> 684</span> </div>
<div class="line"><a name="l00685"></a><span class="lineno"> 685</span> }</div>
<div class="line"><a name="l00686"></a><span class="lineno"> 686</span> </div>
<div class="line"><a name="l00687"></a><span class="lineno"> 687</span> </div>
<div class="line"><a name="l00688"></a><span class="lineno"> 688</span> </div>
<div class="line"><a name="l00689"></a><span class="lineno"> 689</span> </div>
<div class="line"><a name="l00696"></a><span class="lineno"> 696</span> <span class="keyword">template</span><<span class="keyword">typename</span> MatrixT></div>
<div class="line"><a name="l00697"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#ac60ddb0b95d73146d903ba0f1c10b707"> 697</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#ac60ddb0b95d73146d903ba0f1c10b707">amg_coarse</a>(MatrixT & A,</div>
<div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html">viennacl::linalg::detail::amg::amg_level_context</a> & amg_context,</div>
<div class="line"><a name="l00699"></a><span class="lineno"> 699</span>  <a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html">viennacl::linalg::amg_tag</a> & tag)</div>
<div class="line"><a name="l00700"></a><span class="lineno"> 700</span> {</div>
<div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  <span class="keywordflow">switch</span> (tag.<a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html#a37cf475ac353f457a3b14879a1140e14">get_coarsening_method</a>())</div>
<div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  {</div>
<div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl_1_1linalg.html#a3ba810acdca541a5eada4560982a645ca5167faa7286ca297508f581b26a048dc">viennacl::linalg::AMG_COARSENING_METHOD_ONEPASS</a>: <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#afe1f07dfaab78dae1f5860c562a7cba3">amg_coarse_classic_onepass</a>(A, amg_context, tag); <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl_1_1linalg.html#a3ba810acdca541a5eada4560982a645ca867e1cc6319da3a2d502c9878d27170d">viennacl::linalg::AMG_COARSENING_METHOD_AGGREGATION</a>:</div>
<div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl_1_1linalg.html#a3ba810acdca541a5eada4560982a645ca0d4c883a9aa8a8514fb260ac404e3c8b">viennacl::linalg::AMG_COARSENING_METHOD_MIS2_AGGREGATION</a>: <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#a7c21abf839b6d91846fcfa8d968e3233">amg_coarse_ag</a>(A, amg_context, tag); <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  <span class="comment">//default: throw std::runtime_error("not implemented yet");</span></div>
<div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  }</div>
<div class="line"><a name="l00708"></a><span class="lineno"> 708</span> }</div>
<div class="line"><a name="l00709"></a><span class="lineno"> 709</span> </div>
<div class="line"><a name="l00710"></a><span class="lineno"> 710</span> </div>
<div class="line"><a name="l00711"></a><span class="lineno"> 711</span> </div>
<div class="line"><a name="l00712"></a><span class="lineno"> 712</span> </div>
<div class="line"><a name="l00714"></a><span class="lineno"> 714</span> </div>
<div class="line"><a name="l00715"></a><span class="lineno"> 715</span> </div>
<div class="line"><a name="l00723"></a><span class="lineno"> 723</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00724"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#a7b0d5c05ac088175949b7fe15b66606f"> 724</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#a7b0d5c05ac088175949b7fe15b66606f">amg_interpol_direct</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & P,</div>
<div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html">viennacl::linalg::detail::amg::amg_level_context</a> & amg_context,</div>
<div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  <a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html">viennacl::linalg::amg_tag</a> & tag)</div>
<div class="line"><a name="l00728"></a><span class="lineno"> 728</span> {</div>
<div class="line"><a name="l00729"></a><span class="lineno"> 729</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <span class="keyword">const</span> * A_elements = viennacl::linalg::host_based::detail::extract_raw_pointer<NumericT>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>());</div>
<div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * A_row_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>());</div>
<div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * A_col_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>());</div>
<div class="line"><a name="l00732"></a><span class="lineno"> 732</span> </div>
<div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *point_types_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a8856e6db54e88c12e2ac728b5fcbe1e4">point_types_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>());</div>
<div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *influences_row_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#ad537babcb184069cc920bfb2140860de">influence_jumper_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>());</div>
<div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *influences_id_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a262b6f406db2b16b53936b8759f83d05">influence_ids_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>());</div>
<div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *coarse_id_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa647069a4102267171e395fcfd10e7ac">coarse_id_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>());</div>
<div class="line"><a name="l00737"></a><span class="lineno"> 737</span> </div>
<div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  P.<a class="code" href="classviennacl_1_1compressed__matrix.html#afcf49945a63836e1edfca536fcd191fb">resize</a>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aac5a6ef480cf58fb8fa490760bb94e35">num_coarse_</a>, <span class="keyword">false</span>);</div>
<div class="line"><a name="l00739"></a><span class="lineno"> 739</span> </div>
<div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  std::vector<std::map<unsigned int, NumericT> > P_setup(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>());</div>
<div class="line"><a name="l00741"></a><span class="lineno"> 741</span> </div>
<div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  <span class="comment">// Iterate over all points to build the interpolation matrix row-by-row</span></div>
<div class="line"><a name="l00743"></a><span class="lineno"> 743</span>  <span class="comment">// Interpolation for coarse points is immediate using '1'.</span></div>
<div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  <span class="comment">// Interpolation for fine points is set up via corresponding row weights (cf. Yang paper, p. 14)</span></div>
<div class="line"><a name="l00745"></a><span class="lineno"> 745</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENMP</span></div>
<div class="line"><a name="l00746"></a><span class="lineno"> 746</span> <span class="preprocessor"> #pragma omp parallel for</span></div>
<div class="line"><a name="l00747"></a><span class="lineno"> 747</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  <span class="keywordflow">for</span> (<span class="keywordtype">long</span> row2=0; row2<static_cast<long>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()); ++row2)</div>
<div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  {</div>
<div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(row2);</div>
<div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  std::map<unsigned int, NumericT> & P_setup_row = P_setup[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>];</div>
<div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  <span class="comment">//std::cout << "Row " << row << ": " << std::endl;</span></div>
<div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  <span class="keywordflow">if</span> (point_types_ptr[row] == <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637afbc2c39efc86491c26c2401d06f2cc8a">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_COARSE</a>)</div>
<div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  {</div>
<div class="line"><a name="l00755"></a><span class="lineno"> 755</span>  <span class="comment">//std::cout << " Setting value 1.0 at " << coarse_id_ptr[row] << std::endl;</span></div>
<div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  P_setup_row[coarse_id_ptr[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>]] = <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>(1);</div>
<div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  }</div>
<div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (point_types_ptr[row] == <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637af803b8af4a6abdaf3d0fd08c18da6de6">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_FINE</a>)</div>
<div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  {</div>
<div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  <span class="comment">//std::cout << "Building interpolant for fine point " << row << std::endl;</span></div>
<div class="line"><a name="l00761"></a><span class="lineno"> 761</span> </div>
<div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <a class="code" href="namespaceviennacl_1_1linalg.html#a9c3e422a3d27609f0c036badc34e6479">row_sum</a> = 0;</div>
<div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> row_coarse_sum = 0;</div>
<div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <a class="code" href="namespaceviennacl.html#a507d2ac469c79997f2bb6e82b37b7483">diag</a> = 0;</div>
<div class="line"><a name="l00765"></a><span class="lineno"> 765</span> </div>
<div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  <span class="comment">// Row sum of coefficients (without diagonal) and sum of influencing coarse point coefficients has to be computed</span></div>
<div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_A_start = A_row_buffer[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>];</div>
<div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_A_end = A_row_buffer[row + 1];</div>
<div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> *influence_iter = influences_id_ptr + influences_row_ptr[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>];</div>
<div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> *influence_end = influences_id_ptr + influences_row_ptr[row + 1];</div>
<div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index = row_A_start; index < row_A_end; ++index)</div>
<div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  {</div>
<div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col = A_col_buffer[index];</div>
<div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> value = A_elements[index];</div>
<div class="line"><a name="l00775"></a><span class="lineno"> 775</span> </div>
<div class="line"><a name="l00776"></a><span class="lineno"> 776</span>  <span class="keywordflow">if</span> (col == row)</div>
<div class="line"><a name="l00777"></a><span class="lineno"> 777</span>  {</div>
<div class="line"><a name="l00778"></a><span class="lineno"> 778</span>  diag = value;</div>
<div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l00780"></a><span class="lineno"> 780</span>  }</div>
<div class="line"><a name="l00781"></a><span class="lineno"> 781</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (point_types_ptr[col] == <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637afbc2c39efc86491c26c2401d06f2cc8a">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_COARSE</a>)</div>
<div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  {</div>
<div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  <span class="comment">// Note: One increment is sufficient, because influence_iter traverses an ordered subset of the column indices in this row</span></div>
<div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  <span class="keywordflow">while</span> (influence_iter != influence_end && *influence_iter < col)</div>
<div class="line"><a name="l00785"></a><span class="lineno"> 785</span>  ++influence_iter;</div>
<div class="line"><a name="l00786"></a><span class="lineno"> 786</span> </div>
<div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  <span class="keywordflow">if</span> (influence_iter != influence_end && *influence_iter == col)</div>
<div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  row_coarse_sum += value;</div>
<div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  }</div>
<div class="line"><a name="l00790"></a><span class="lineno"> 790</span> </div>
<div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  row_sum += value;</div>
<div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  }</div>
<div class="line"><a name="l00793"></a><span class="lineno"> 793</span> </div>
<div class="line"><a name="l00794"></a><span class="lineno"> 794</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> temp_res = -row_sum/(row_coarse_sum*<a class="code" href="namespaceviennacl.html#a507d2ac469c79997f2bb6e82b37b7483">diag</a>);</div>
<div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  <span class="comment">//std::cout << "row_sum: " << row_sum << ", row_coarse_sum: " << row_coarse_sum << ", diag: " << diag << std::endl;</span></div>
<div class="line"><a name="l00796"></a><span class="lineno"> 796</span> </div>
<div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  <span class="keywordflow">if</span> (std::fabs(temp_res) > 1e-2 * std::fabs(diag))</div>
<div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  {</div>
<div class="line"><a name="l00799"></a><span class="lineno"> 799</span>  <span class="comment">// Iterate over all strongly influencing points to build the interpolant</span></div>
<div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  influence_iter = influences_id_ptr + influences_row_ptr[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>];</div>
<div class="line"><a name="l00801"></a><span class="lineno"> 801</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index = row_A_start; index < row_A_end; ++index)</div>
<div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  {</div>
<div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col = A_col_buffer[index];</div>
<div class="line"><a name="l00804"></a><span class="lineno"> 804</span>  <span class="keywordflow">if</span> (point_types_ptr[col] != <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637afbc2c39efc86491c26c2401d06f2cc8a">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_COARSE</a>)</div>
<div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l00806"></a><span class="lineno"> 806</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> value = A_elements[index];</div>
<div class="line"><a name="l00807"></a><span class="lineno"> 807</span> </div>
<div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  <span class="comment">// Advance to correct influence metric:</span></div>
<div class="line"><a name="l00809"></a><span class="lineno"> 809</span>  <span class="keywordflow">while</span> (influence_iter != influence_end && *influence_iter < col)</div>
<div class="line"><a name="l00810"></a><span class="lineno"> 810</span>  ++influence_iter;</div>
<div class="line"><a name="l00811"></a><span class="lineno"> 811</span> </div>
<div class="line"><a name="l00812"></a><span class="lineno"> 812</span>  <span class="keywordflow">if</span> (influence_iter != influence_end && *influence_iter == col)</div>
<div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  {</div>
<div class="line"><a name="l00814"></a><span class="lineno"> 814</span>  <span class="comment">//std::cout << " Setting entry " << temp_res * value << " at " << coarse_id_ptr[col] << " for point " << col << std::endl;</span></div>
<div class="line"><a name="l00815"></a><span class="lineno"> 815</span>  P_setup_row[coarse_id_ptr[col]] = temp_res * value;</div>
<div class="line"><a name="l00816"></a><span class="lineno"> 816</span>  }</div>
<div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  }</div>
<div class="line"><a name="l00818"></a><span class="lineno"> 818</span>  }</div>
<div class="line"><a name="l00819"></a><span class="lineno"> 819</span> </div>
<div class="line"><a name="l00820"></a><span class="lineno"> 820</span>  <span class="comment">// TODO truncate interpolation if specified by the user.</span></div>
<div class="line"><a name="l00821"></a><span class="lineno"> 821</span>  (void)tag;</div>
<div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  }</div>
<div class="line"><a name="l00823"></a><span class="lineno"> 823</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00824"></a><span class="lineno"> 824</span>  <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"Logic error in direct interpolation: Point is neither coarse-point nor fine-point!"</span>);</div>
<div class="line"><a name="l00825"></a><span class="lineno"> 825</span>  }</div>
<div class="line"><a name="l00826"></a><span class="lineno"> 826</span> </div>
<div class="line"><a name="l00827"></a><span class="lineno"> 827</span>  <span class="comment">// TODO: P_setup can be avoided without sacrificing parallelism.</span></div>
<div class="line"><a name="l00828"></a><span class="lineno"> 828</span>  <a class="code" href="classviennacl_1_1tools_1_1sparse__matrix__adapter.html">viennacl::tools::sparse_matrix_adapter<NumericT></a> P_adapter(P_setup, P.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), P.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>());</div>
<div class="line"><a name="l00829"></a><span class="lineno"> 829</span>  <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(P_adapter, P);</div>
<div class="line"><a name="l00830"></a><span class="lineno"> 830</span> }</div>
<div class="line"><a name="l00831"></a><span class="lineno"> 831</span> </div>
<div class="line"><a name="l00832"></a><span class="lineno"> 832</span> </div>
<div class="line"><a name="l00840"></a><span class="lineno"> 840</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00841"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#adbd5a024a690d4fb3d6064d10b23571f"> 841</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#adbd5a024a690d4fb3d6064d10b23571f">amg_interpol_ag</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & P,</div>
<div class="line"><a name="l00843"></a><span class="lineno"> 843</span>  <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html">viennacl::linalg::detail::amg::amg_level_context</a> & amg_context,</div>
<div class="line"><a name="l00844"></a><span class="lineno"> 844</span>  <a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html">viennacl::linalg::amg_tag</a> & tag)</div>
<div class="line"><a name="l00845"></a><span class="lineno"> 845</span> {</div>
<div class="line"><a name="l00846"></a><span class="lineno"> 846</span>  (void)tag;</div>
<div class="line"><a name="l00847"></a><span class="lineno"> 847</span>  P = <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aac5a6ef480cf58fb8fa490760bb94e35">num_coarse_</a>, A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(A));</div>
<div class="line"><a name="l00848"></a><span class="lineno"> 848</span> </div>
<div class="line"><a name="l00849"></a><span class="lineno"> 849</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> * P_elements = viennacl::linalg::host_based::detail::extract_raw_pointer<NumericT>(P.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>());</div>
<div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> * P_row_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(P.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>());</div>
<div class="line"><a name="l00851"></a><span class="lineno"> 851</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> * P_col_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(P.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>());</div>
<div class="line"><a name="l00852"></a><span class="lineno"> 852</span> </div>
<div class="line"><a name="l00853"></a><span class="lineno"> 853</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *coarse_id_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa647069a4102267171e395fcfd10e7ac">coarse_id_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>());</div>
<div class="line"><a name="l00854"></a><span class="lineno"> 854</span> </div>
<div class="line"><a name="l00855"></a><span class="lineno"> 855</span>  <span class="comment">// Build interpolation matrix:</span></div>
<div class="line"><a name="l00856"></a><span class="lineno"> 856</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENMP</span></div>
<div class="line"><a name="l00857"></a><span class="lineno"> 857</span> <span class="preprocessor"> #pragma omp parallel for</span></div>
<div class="line"><a name="l00858"></a><span class="lineno"> 858</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00859"></a><span class="lineno"> 859</span>  <span class="keywordflow">for</span> (<span class="keywordtype">long</span> row2 = 0; row2 < long(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()); ++row2)</div>
<div class="line"><a name="l00860"></a><span class="lineno"> 860</span>  {</div>
<div class="line"><a name="l00861"></a><span class="lineno"> 861</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(row2);</div>
<div class="line"><a name="l00862"></a><span class="lineno"> 862</span>  P_elements[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>] = <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>(1);</div>
<div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  P_row_buffer[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>] = <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>;</div>
<div class="line"><a name="l00864"></a><span class="lineno"> 864</span>  P_col_buffer[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>] = coarse_id_ptr[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>];</div>
<div class="line"><a name="l00865"></a><span class="lineno"> 865</span>  }</div>
<div class="line"><a name="l00866"></a><span class="lineno"> 866</span>  P_row_buffer[A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()] = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()); <span class="comment">// don't forget finalizer</span></div>
<div class="line"><a name="l00867"></a><span class="lineno"> 867</span> </div>
<div class="line"><a name="l00868"></a><span class="lineno"> 868</span>  P.<a class="code" href="classviennacl_1_1compressed__matrix.html#ab5922a97b73b869fbeeb6a2fa40e3b06">generate_row_block_information</a>();</div>
<div class="line"><a name="l00869"></a><span class="lineno"> 869</span> }</div>
<div class="line"><a name="l00870"></a><span class="lineno"> 870</span> </div>
<div class="line"><a name="l00871"></a><span class="lineno"> 871</span> </div>
<div class="line"><a name="l00879"></a><span class="lineno"> 879</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00880"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#aaaff065269d5c9fc096e65610bb6830d"> 880</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#aaaff065269d5c9fc096e65610bb6830d">amg_interpol_sa</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00881"></a><span class="lineno"> 881</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & P,</div>
<div class="line"><a name="l00882"></a><span class="lineno"> 882</span>  <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html">viennacl::linalg::detail::amg::amg_level_context</a> & amg_context,</div>
<div class="line"><a name="l00883"></a><span class="lineno"> 883</span>  <a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html">viennacl::linalg::amg_tag</a> & tag)</div>
<div class="line"><a name="l00884"></a><span class="lineno"> 884</span> {</div>
<div class="line"><a name="l00885"></a><span class="lineno"> 885</span>  (void)tag;</div>
<div class="line"><a name="l00886"></a><span class="lineno"> 886</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT></a> P_tentative(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aac5a6ef480cf58fb8fa490760bb94e35">num_coarse_</a>, A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(A));</div>
<div class="line"><a name="l00887"></a><span class="lineno"> 887</span> </div>
<div class="line"><a name="l00888"></a><span class="lineno"> 888</span>  <span class="comment">// form tentative operator:</span></div>
<div class="line"><a name="l00889"></a><span class="lineno"> 889</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#adbd5a024a690d4fb3d6064d10b23571f">amg_interpol_ag</a>(A, P_tentative, amg_context, tag);</div>
<div class="line"><a name="l00890"></a><span class="lineno"> 890</span> </div>
<div class="line"><a name="l00891"></a><span class="lineno"> 891</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * A_row_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>());</div>
<div class="line"><a name="l00892"></a><span class="lineno"> 892</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * A_col_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>());</div>
<div class="line"><a name="l00893"></a><span class="lineno"> 893</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <span class="keyword">const</span> * A_elements = viennacl::linalg::host_based::detail::extract_raw_pointer<NumericT>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>());</div>
<div class="line"><a name="l00894"></a><span class="lineno"> 894</span> </div>
<div class="line"><a name="l00895"></a><span class="lineno"> 895</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT></a> Jacobi(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#ae69ca21ded644fdd0c7a5168011b13ed">nnz</a>(), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(A));</div>
<div class="line"><a name="l00896"></a><span class="lineno"> 896</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> * Jacobi_row_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(Jacobi.handle1());</div>
<div class="line"><a name="l00897"></a><span class="lineno"> 897</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> * Jacobi_col_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(Jacobi.handle2());</div>
<div class="line"><a name="l00898"></a><span class="lineno"> 898</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> * Jacobi_elements = viennacl::linalg::host_based::detail::extract_raw_pointer<NumericT>(Jacobi.handle());</div>
<div class="line"><a name="l00899"></a><span class="lineno"> 899</span> </div>
<div class="line"><a name="l00900"></a><span class="lineno"> 900</span> </div>
<div class="line"><a name="l00901"></a><span class="lineno"> 901</span>  <span class="comment">// Build Jacobi matrix:</span></div>
<div class="line"><a name="l00902"></a><span class="lineno"> 902</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENMP</span></div>
<div class="line"><a name="l00903"></a><span class="lineno"> 903</span> <span class="preprocessor"> #pragma omp parallel for</span></div>
<div class="line"><a name="l00904"></a><span class="lineno"> 904</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00905"></a><span class="lineno"> 905</span>  <span class="keywordflow">for</span> (<span class="keywordtype">long</span> row2=0; row2<static_cast<long>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()); ++row2)</div>
<div class="line"><a name="l00906"></a><span class="lineno"> 906</span>  {</div>
<div class="line"><a name="l00907"></a><span class="lineno"> 907</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(row2);</div>
<div class="line"><a name="l00908"></a><span class="lineno"> 908</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_begin = A_row_buffer[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>];</div>
<div class="line"><a name="l00909"></a><span class="lineno"> 909</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_end = A_row_buffer[row+1];</div>
<div class="line"><a name="l00910"></a><span class="lineno"> 910</span> </div>
<div class="line"><a name="l00911"></a><span class="lineno"> 911</span>  Jacobi_row_buffer[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>] = row_begin;</div>
<div class="line"><a name="l00912"></a><span class="lineno"> 912</span> </div>
<div class="line"><a name="l00913"></a><span class="lineno"> 913</span>  <span class="comment">// Step 1: Extract diagonal:</span></div>
<div class="line"><a name="l00914"></a><span class="lineno"> 914</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <a class="code" href="namespaceviennacl.html#a507d2ac469c79997f2bb6e82b37b7483">diag</a> = 0;</div>
<div class="line"><a name="l00915"></a><span class="lineno"> 915</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = row_begin; j < row_end; ++j)</div>
<div class="line"><a name="l00916"></a><span class="lineno"> 916</span>  {</div>
<div class="line"><a name="l00917"></a><span class="lineno"> 917</span>  <span class="keywordflow">if</span> (A_col_buffer[j] == row)</div>
<div class="line"><a name="l00918"></a><span class="lineno"> 918</span>  {</div>
<div class="line"><a name="l00919"></a><span class="lineno"> 919</span>  diag = A_elements[j];</div>
<div class="line"><a name="l00920"></a><span class="lineno"> 920</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00921"></a><span class="lineno"> 921</span>  }</div>
<div class="line"><a name="l00922"></a><span class="lineno"> 922</span>  }</div>
<div class="line"><a name="l00923"></a><span class="lineno"> 923</span> </div>
<div class="line"><a name="l00924"></a><span class="lineno"> 924</span>  <span class="comment">// Step 2: Write entries:</span></div>
<div class="line"><a name="l00925"></a><span class="lineno"> 925</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = row_begin; j < row_end; ++j)</div>
<div class="line"><a name="l00926"></a><span class="lineno"> 926</span>  {</div>
<div class="line"><a name="l00927"></a><span class="lineno"> 927</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col_index = A_col_buffer[j];</div>
<div class="line"><a name="l00928"></a><span class="lineno"> 928</span>  Jacobi_col_buffer[j] = col_index;</div>
<div class="line"><a name="l00929"></a><span class="lineno"> 929</span> </div>
<div class="line"><a name="l00930"></a><span class="lineno"> 930</span>  <span class="keywordflow">if</span> (col_index == row)</div>
<div class="line"><a name="l00931"></a><span class="lineno"> 931</span>  Jacobi_elements[j] = <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>(1) - <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>(tag.<a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html#ac040fe4a5f3a3ac02bcc951d6a72837b">get_jacobi_weight</a>());</div>
<div class="line"><a name="l00932"></a><span class="lineno"> 932</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00933"></a><span class="lineno"> 933</span>  Jacobi_elements[j] = - <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>(tag.<a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html#ac040fe4a5f3a3ac02bcc951d6a72837b">get_jacobi_weight</a>()) * A_elements[j] / diag;</div>
<div class="line"><a name="l00934"></a><span class="lineno"> 934</span>  }</div>
<div class="line"><a name="l00935"></a><span class="lineno"> 935</span>  }</div>
<div class="line"><a name="l00936"></a><span class="lineno"> 936</span>  Jacobi_row_buffer[A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()] = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(Jacobi.nnz()); <span class="comment">// don't forget finalizer</span></div>
<div class="line"><a name="l00937"></a><span class="lineno"> 937</span> </div>
<div class="line"><a name="l00938"></a><span class="lineno"> 938</span>  P = <a class="code" href="namespaceviennacl_1_1linalg.html#aa18d10f8a90e38bd9ff43c650fc670ef">viennacl::linalg::prod</a>(Jacobi, P_tentative);</div>
<div class="line"><a name="l00939"></a><span class="lineno"> 939</span> </div>
<div class="line"><a name="l00940"></a><span class="lineno"> 940</span>  P.<a class="code" href="classviennacl_1_1compressed__matrix.html#ab5922a97b73b869fbeeb6a2fa40e3b06">generate_row_block_information</a>();</div>
<div class="line"><a name="l00941"></a><span class="lineno"> 941</span> }</div>
<div class="line"><a name="l00942"></a><span class="lineno"> 942</span> </div>
<div class="line"><a name="l00943"></a><span class="lineno"> 943</span> </div>
<div class="line"><a name="l00951"></a><span class="lineno"> 951</span> <span class="keyword">template</span><<span class="keyword">typename</span> MatrixT></div>
<div class="line"><a name="l00952"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#a954f01bcddfc708509f4d2ab34c02b3d"> 952</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#a954f01bcddfc708509f4d2ab34c02b3d">amg_interpol</a>(MatrixT <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00953"></a><span class="lineno"> 953</span>  MatrixT & P,</div>
<div class="line"><a name="l00954"></a><span class="lineno"> 954</span>  <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html">viennacl::linalg::detail::amg::amg_level_context</a> & amg_context,</div>
<div class="line"><a name="l00955"></a><span class="lineno"> 955</span>  <a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html">viennacl::linalg::amg_tag</a> & tag)</div>
<div class="line"><a name="l00956"></a><span class="lineno"> 956</span> {</div>
<div class="line"><a name="l00957"></a><span class="lineno"> 957</span>  <span class="keywordflow">switch</span> (tag.<a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html#afb4b14cf0b9e99161fa8c1da4647ad0d">get_interpolation_method</a>())</div>
<div class="line"><a name="l00958"></a><span class="lineno"> 958</span>  {</div>
<div class="line"><a name="l00959"></a><span class="lineno"> 959</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl_1_1linalg.html#a9933216144a64dbd433ec02c95bbfdd7a48d5bb166d266affee4d526e8671bec2">viennacl::linalg::AMG_INTERPOLATION_METHOD_DIRECT</a>: <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#a7b0d5c05ac088175949b7fe15b66606f">amg_interpol_direct</a> (A, P, amg_context, tag); <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00960"></a><span class="lineno"> 960</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl_1_1linalg.html#a9933216144a64dbd433ec02c95bbfdd7a31dbd459c3ba8068280a6ec1bca00482">viennacl::linalg::AMG_INTERPOLATION_METHOD_AGGREGATION</a>: <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#adbd5a024a690d4fb3d6064d10b23571f">amg_interpol_ag</a> (A, P, amg_context, tag); <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00961"></a><span class="lineno"> 961</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl_1_1linalg.html#a9933216144a64dbd433ec02c95bbfdd7afcffee5ed6e7ad032a9ffebe615b5932">viennacl::linalg::AMG_INTERPOLATION_METHOD_SMOOTHED_AGGREGATION</a>: <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#aaaff065269d5c9fc096e65610bb6830d">amg_interpol_sa</a> (A, P, amg_context, tag); <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00962"></a><span class="lineno"> 962</span>  <span class="keywordflow">default</span>: <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"Not implemented yet!"</span>);</div>
<div class="line"><a name="l00963"></a><span class="lineno"> 963</span>  }</div>
<div class="line"><a name="l00964"></a><span class="lineno"> 964</span> }</div>
<div class="line"><a name="l00965"></a><span class="lineno"> 965</span> </div>
<div class="line"><a name="l00966"></a><span class="lineno"> 966</span> </div>
<div class="line"><a name="l00971"></a><span class="lineno"> 971</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00972"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#a8a9d638da3da07ea3eebe634fd33b767"> 972</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#a8a9d638da3da07ea3eebe634fd33b767">amg_transpose</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00973"></a><span class="lineno"> 973</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & B)</div>
<div class="line"><a name="l00974"></a><span class="lineno"> 974</span> {</div>
<div class="line"><a name="l00975"></a><span class="lineno"> 975</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <span class="keyword">const</span> * A_elements = viennacl::linalg::host_based::detail::extract_raw_pointer<NumericT>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>());</div>
<div class="line"><a name="l00976"></a><span class="lineno"> 976</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * A_row_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>());</div>
<div class="line"><a name="l00977"></a><span class="lineno"> 977</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * A_col_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>());</div>
<div class="line"><a name="l00978"></a><span class="lineno"> 978</span> </div>
<div class="line"><a name="l00979"></a><span class="lineno"> 979</span>  <span class="comment">// initialize datastructures for B:</span></div>
<div class="line"><a name="l00980"></a><span class="lineno"> 980</span>  B = <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#ae69ca21ded644fdd0c7a5168011b13ed">nnz</a>(), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(A));</div>
<div class="line"><a name="l00981"></a><span class="lineno"> 981</span> </div>
<div class="line"><a name="l00982"></a><span class="lineno"> 982</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> * B_elements = viennacl::linalg::host_based::detail::extract_raw_pointer<NumericT>(B.handle());</div>
<div class="line"><a name="l00983"></a><span class="lineno"> 983</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> * B_row_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(B.handle1());</div>
<div class="line"><a name="l00984"></a><span class="lineno"> 984</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> * B_col_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(B.handle2());</div>
<div class="line"><a name="l00985"></a><span class="lineno"> 985</span> </div>
<div class="line"><a name="l00986"></a><span class="lineno"> 986</span>  <span class="comment">// prepare uninitialized B_row_buffer:</span></div>
<div class="line"><a name="l00987"></a><span class="lineno"> 987</span>  <span class="keywordflow">for</span> (std::size_t i = 0; i < B.size1(); ++i)</div>
<div class="line"><a name="l00988"></a><span class="lineno"> 988</span>  B_row_buffer[i] = 0;</div>
<div class="line"><a name="l00989"></a><span class="lineno"> 989</span> </div>
<div class="line"><a name="l00990"></a><span class="lineno"> 990</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00991"></a><span class="lineno"> 991</span>  <span class="comment">// Stage 1: Compute pattern for B</span></div>
<div class="line"><a name="l00992"></a><span class="lineno"> 992</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00993"></a><span class="lineno"> 993</span>  <span class="keywordflow">for</span> (std::size_t <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> = 0; <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> < A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(); ++<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>)</div>
<div class="line"><a name="l00994"></a><span class="lineno"> 994</span>  {</div>
<div class="line"><a name="l00995"></a><span class="lineno"> 995</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_start = A_row_buffer[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>];</div>
<div class="line"><a name="l00996"></a><span class="lineno"> 996</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_stop = A_row_buffer[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>+1];</div>
<div class="line"><a name="l00997"></a><span class="lineno"> 997</span> </div>
<div class="line"><a name="l00998"></a><span class="lineno"> 998</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> nnz_index = row_start; nnz_index < row_stop; ++nnz_index)</div>
<div class="line"><a name="l00999"></a><span class="lineno"> 999</span>  B_row_buffer[A_col_buffer[nnz_index]] += 1;</div>
<div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>  }</div>
<div class="line"><a name="l01001"></a><span class="lineno"> 1001</span> </div>
<div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>  <span class="comment">// Bring row-start array in place using inclusive-scan:</span></div>
<div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> offset = B_row_buffer[0];</div>
<div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>  B_row_buffer[0] = 0;</div>
<div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>  <span class="keywordflow">for</span> (std::size_t <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> = 1; <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> < B.size1(); ++<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>)</div>
<div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>  {</div>
<div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> tmp = B_row_buffer[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>];</div>
<div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>  B_row_buffer[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>] = offset;</div>
<div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>  offset += tmp;</div>
<div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>  }</div>
<div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>  B_row_buffer[B.size1()] = offset;</div>
<div class="line"><a name="l01012"></a><span class="lineno"> 1012</span> </div>
<div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>  <span class="comment">//</span></div>
<div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>  <span class="comment">// Stage 2: Fill with data</span></div>
<div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>  <span class="comment">//</span></div>
<div class="line"><a name="l01016"></a><span class="lineno"> 1016</span> </div>
<div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>  std::vector<unsigned int> B_row_offsets(B.size1()); <span class="comment">//number of elements already written per row</span></div>
<div class="line"><a name="l01018"></a><span class="lineno"> 1018</span> </div>
<div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>  <span class="keywordflow">for</span> (std::size_t <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> = 0; <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> < A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(); ++<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>)</div>
<div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>  {</div>
<div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>  <span class="comment">//std::cout << "Row " << row << ": ";</span></div>
<div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_start = A_row_buffer[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>];</div>
<div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_stop = A_row_buffer[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>+1];</div>
<div class="line"><a name="l01024"></a><span class="lineno"> 1024</span> </div>
<div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> nnz_index = row_start; nnz_index < row_stop; ++nnz_index)</div>
<div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>  {</div>
<div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col_in_A = A_col_buffer[nnz_index];</div>
<div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> B_nnz_index = B_row_buffer[col_in_A] + B_row_offsets[col_in_A];</div>
<div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>  B_col_buffer[B_nnz_index] = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>);</div>
<div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>  B_elements[B_nnz_index] = A_elements[nnz_index];</div>
<div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>  ++B_row_offsets[col_in_A];</div>
<div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>  <span class="comment">//B_temp.at(A_col_buffer[nnz_index])[row] = A_elements[nnz_index];</span></div>
<div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>  }</div>
<div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>  }</div>
<div class="line"><a name="l01035"></a><span class="lineno"> 1035</span> </div>
<div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>  <span class="comment">// Step 3: Make datastructure consistent (row blocks!)</span></div>
<div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>  B.<a class="code" href="classviennacl_1_1compressed__matrix.html#ab5922a97b73b869fbeeb6a2fa40e3b06">generate_row_block_information</a>();</div>
<div class="line"><a name="l01038"></a><span class="lineno"> 1038</span> }</div>
<div class="line"><a name="l01039"></a><span class="lineno"> 1039</span> </div>
<div class="line"><a name="l01041"></a><span class="lineno"> 1041</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l01042"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#ae39d16e7685813209abe899b3f4b979a"> 1042</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#ae39d16e7685813209abe899b3f4b979a">assign_to_dense</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT, AlignmentV></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> & B)</div>
<div class="line"><a name="l01044"></a><span class="lineno"> 1044</span> {</div>
<div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <span class="keyword">const</span> * A_elements = detail::extract_raw_pointer<NumericT>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>());</div>
<div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * A_row_buffer = detail::extract_raw_pointer<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>());</div>
<div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * A_col_buffer = detail::extract_raw_pointer<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>());</div>
<div class="line"><a name="l01048"></a><span class="lineno"> 1048</span> </div>
<div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> * B_elements = detail::extract_raw_pointer<NumericT>(B.<a class="code" href="classviennacl_1_1matrix__base.html#a4082cd3586bc99deb68733257b30c51f">handle</a>());</div>
<div class="line"><a name="l01050"></a><span class="lineno"> 1050</span> </div>
<div class="line"><a name="l01051"></a><span class="lineno"> 1051</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENMP</span></div>
<div class="line"><a name="l01052"></a><span class="lineno"> 1052</span> <span class="preprocessor"> #pragma omp parallel for</span></div>
<div class="line"><a name="l01053"></a><span class="lineno"> 1053</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>  <span class="keywordflow">for</span> (<span class="keywordtype">long</span> <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> = 0; row < static_cast<long>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()); ++<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>)</div>
<div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>  {</div>
<div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_stop = A_row_buffer[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>+1];</div>
<div class="line"><a name="l01057"></a><span class="lineno"> 1057</span> </div>
<div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> nnz_index = A_row_buffer[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>]; nnz_index < row_stop; ++nnz_index)</div>
<div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>  B_elements[static_cast<unsigned int>(<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>) * <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(B.<a class="code" href="classviennacl_1_1matrix__base.html#a00e30fdc61081a73995b54175a91d220">internal_size2</a>()) + A_col_buffer[nnz_index]] = A_elements[nnz_index];</div>
<div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>  }</div>
<div class="line"><a name="l01061"></a><span class="lineno"> 1061</span> </div>
<div class="line"><a name="l01062"></a><span class="lineno"> 1062</span> }</div>
<div class="line"><a name="l01063"></a><span class="lineno"> 1063</span> </div>
<div class="line"><a name="l01073"></a><span class="lineno"> 1073</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l01074"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#a4dd22073cd7d7a451100ccc3cb11f6e2"> 1074</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#a4dd22073cd7d7a451100ccc3cb11f6e2">smooth_jacobi</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> iterations,</div>
<div class="line"><a name="l01075"></a><span class="lineno"> 1075</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>  <a class="code" href="classviennacl_1_1vector.html">vector<NumericT></a> & x,</div>
<div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>  <a class="code" href="classviennacl_1_1vector.html">vector<NumericT></a> & x_backup,</div>
<div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>  <a class="code" href="classviennacl_1_1vector.html">vector<NumericT></a> <span class="keyword">const</span> & rhs_smooth,</div>
<div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> weight)</div>
<div class="line"><a name="l01080"></a><span class="lineno"> 1080</span> {</div>
<div class="line"><a name="l01081"></a><span class="lineno"> 1081</span> </div>
<div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <span class="keyword">const</span> * A_elements = viennacl::linalg::host_based::detail::extract_raw_pointer<NumericT>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>());</div>
<div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * A_row_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>());</div>
<div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * A_col_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>());</div>
<div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <span class="keyword">const</span> * rhs_elements = viennacl::linalg::host_based::detail::extract_raw_pointer<NumericT>(rhs_smooth.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>());</div>
<div class="line"><a name="l01086"></a><span class="lineno"> 1086</span> </div>
<div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> * x_elements = viennacl::linalg::host_based::detail::extract_raw_pointer<NumericT>(x.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>());</div>
<div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <span class="keyword">const</span> * x_old_elements = viennacl::linalg::host_based::detail::extract_raw_pointer<NumericT>(x_backup.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>());</div>
<div class="line"><a name="l01089"></a><span class="lineno"> 1089</span> </div>
<div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0; i<iterations; ++i)</div>
<div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>  {</div>
<div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>  x_backup = x;</div>
<div class="line"><a name="l01093"></a><span class="lineno"> 1093</span> </div>
<div class="line"><a name="l01094"></a><span class="lineno"> 1094</span> <span class="preprocessor"> #ifdef VIENNACL_WITH_OPENMP</span></div>
<div class="line"><a name="l01095"></a><span class="lineno"> 1095</span> <span class="preprocessor"> #pragma omp parallel for</span></div>
<div class="line"><a name="l01096"></a><span class="lineno"> 1096</span> <span class="preprocessor"> #endif</span></div>
<div class="line"><a name="l01097"></a><span class="lineno"> 1097</span>  <span class="keywordflow">for</span> (<span class="keywordtype">long</span> row2 = 0; row2 < static_cast<long>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()); ++row2)</div>
<div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>  {</div>
<div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(row2);</div>
<div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col_end = A_row_buffer[row+1];</div>
<div class="line"><a name="l01101"></a><span class="lineno"> 1101</span> </div>
<div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <a class="code" href="namespaceviennacl_1_1linalg.html#a4117795095db49147ba7305d3e0a1af5">sum</a> = <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>(0);</div>
<div class="line"><a name="l01103"></a><span class="lineno"> 1103</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <a class="code" href="namespaceviennacl.html#a507d2ac469c79997f2bb6e82b37b7483">diag</a> = <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>(1);</div>
<div class="line"><a name="l01104"></a><span class="lineno"> 1104</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index = A_row_buffer[row]; index != col_end; ++index)</div>
<div class="line"><a name="l01105"></a><span class="lineno"> 1105</span>  {</div>
<div class="line"><a name="l01106"></a><span class="lineno"> 1106</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col = A_col_buffer[index];</div>
<div class="line"><a name="l01107"></a><span class="lineno"> 1107</span>  <span class="keywordflow">if</span> (col == row)</div>
<div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>  diag = A_elements[index];</div>
<div class="line"><a name="l01109"></a><span class="lineno"> 1109</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>  sum += A_elements[index] * x_old_elements[col];</div>
<div class="line"><a name="l01111"></a><span class="lineno"> 1111</span>  }</div>
<div class="line"><a name="l01112"></a><span class="lineno"> 1112</span> </div>
<div class="line"><a name="l01113"></a><span class="lineno"> 1113</span>  x_elements[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>] = weight * (rhs_elements[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>] - <a class="code" href="namespaceviennacl_1_1linalg.html#a4117795095db49147ba7305d3e0a1af5">sum</a>) / diag + (<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>(1) - weight) * x_old_elements[row];</div>
<div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>  }</div>
<div class="line"><a name="l01115"></a><span class="lineno"> 1115</span>  }</div>
<div class="line"><a name="l01116"></a><span class="lineno"> 1116</span> }</div>
<div class="line"><a name="l01117"></a><span class="lineno"> 1117</span> </div>
<div class="line"><a name="l01118"></a><span class="lineno"> 1118</span> } <span class="comment">//namespace amg</span></div>
<div class="line"><a name="l01119"></a><span class="lineno"> 1119</span> } <span class="comment">//namespace host_based</span></div>
<div class="line"><a name="l01120"></a><span class="lineno"> 1120</span> } <span class="comment">//namespace linalg</span></div>
<div class="line"><a name="l01121"></a><span class="lineno"> 1121</span> } <span class="comment">//namespace viennacl</span></div>
<div class="line"><a name="l01122"></a><span class="lineno"> 1122</span> </div>
<div class="line"><a name="l01123"></a><span class="lineno"> 1123</span> <span class="preprocessor">#endif</span></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_a4fc12fc4abfef4a1426575a2d73f18ab"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">viennacl::compressed_matrix::size2</a></div><div class="ttdeci">const vcl_size_t & size2() const </div><div class="ttdoc">Returns the number of columns. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00929">compressed_matrix.hpp:929</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence_html"><div class="ttname"><a href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html">viennacl::linalg::host_based::amg::amg_id_influence</a></div><div class="ttdoc">Helper struct for sequential classical one-pass coarsening. </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2amg__operations_8hpp_source.html#l00260">amg_operations.hpp:260</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1amg__tag_html_a37cf475ac353f457a3b14879a1140e14"><div class="ttname"><a href="classviennacl_1_1linalg_1_1amg__tag.html#a37cf475ac353f457a3b14879a1140e14">viennacl::linalg::amg_tag::get_coarsening_method</a></div><div class="ttdeci">amg_coarsening_method get_coarsening_method() const </div><div class="ttdoc">Returns the current coarsening strategy. </div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00088">amg_base.hpp:88</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_a4117795095db49147ba7305d3e0a1af5"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a4117795095db49147ba7305d3e0a1af5">viennacl::linalg::sum</a></div><div class="ttdeci">viennacl::scalar_expression< const viennacl::vector_base< NumericT >, const viennacl::vector_base< NumericT >, viennacl::op_sum > sum(viennacl::vector_base< NumericT > const &x)</div><div class="ttdoc">User interface function for computing the sum of all elements of a vector. </div><div class="ttdef"><b>Definition:</b> <a href="sum_8hpp_source.html#l00045">sum.hpp:45</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context_html"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html">viennacl::linalg::detail::amg::amg_level_context</a></div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00167">amg_base.hpp:167</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_a463cf1739f9cdd387aa185cb574db183"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">viennacl::compressed_matrix::size1</a></div><div class="ttdeci">const vcl_size_t & size1() const </div><div class="ttdoc">Returns the number of rows. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00927">compressed_matrix.hpp:927</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_a9c3e422a3d27609f0c036badc34e6479"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a9c3e422a3d27609f0c036badc34e6479">viennacl::linalg::row_sum</a></div><div class="ttdeci">viennacl::vector_expression< const viennacl::matrix_base< NumericT >, const viennacl::matrix_base< NumericT >, viennacl::op_row_sum > row_sum(viennacl::matrix_base< NumericT > const &A)</div><div class="ttdoc">User interface function for computing the sum of all elements of each row of a matrix. </div><div class="ttdef"><b>Definition:</b> <a href="sum_8hpp_source.html#l00077">sum.hpp:77</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_1_1amg_html_a7c21abf839b6d91846fcfa8d968e3233"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#a7c21abf839b6d91846fcfa8d968e3233">viennacl::linalg::host_based::amg::amg_coarse_ag</a></div><div class="ttdeci">void amg_coarse_ag(compressed_matrix< NumericT > const &A, viennacl::linalg::detail::amg::amg_level_context &amg_context, viennacl::linalg::amg_tag &tag)</div><div class="ttdoc">AG (aggregation based) coarsening. Partially single-threaded version (VIENNACL_AMG_COARSE_AG) ...</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2amg__operations_8hpp_source.html#l00604">amg_operations.hpp:604</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1amg__tag_html_ac040fe4a5f3a3ac02bcc951d6a72837b"><div class="ttname"><a href="classviennacl_1_1linalg_1_1amg__tag.html#ac040fe4a5f3a3ac02bcc951d6a72837b">viennacl::linalg::amg_tag::get_jacobi_weight</a></div><div class="ttdeci">double get_jacobi_weight() const </div><div class="ttdoc">Returns the Jacobi smoother weight (damping). </div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00113">amg_base.hpp:113</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__base_html"><div class="ttname"><a href="classviennacl_1_1matrix__base.html">viennacl::matrix_base< NumericT ></a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_1_1amg_html_adbd5a024a690d4fb3d6064d10b23571f"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#adbd5a024a690d4fb3d6064d10b23571f">viennacl::linalg::host_based::amg::amg_interpol_ag</a></div><div class="ttdeci">void amg_interpol_ag(compressed_matrix< NumericT > const &A, compressed_matrix< NumericT > &P, viennacl::linalg::detail::amg::amg_level_context &amg_context, viennacl::linalg::amg_tag &tag)</div><div class="ttdoc">AG (aggregation based) interpolation. Multi-Threaded! (VIENNACL_INTERPOL_AG) </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2amg__operations_8hpp_source.html#l00841">amg_operations.hpp:841</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_a9933216144a64dbd433ec02c95bbfdd7a31dbd459c3ba8068280a6ec1bca00482"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a9933216144a64dbd433ec02c95bbfdd7a31dbd459c3ba8068280a6ec1bca00482">viennacl::linalg::AMG_INTERPOLATION_METHOD_AGGREGATION</a></div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00057">amg_base.hpp:57</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_1_1amg_html_a08f9050cdba67bd4d143cba3f693c657"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#a08f9050cdba67bd4d143cba3f693c657">viennacl::linalg::host_based::amg::amg_influence_advanced</a></div><div class="ttdeci">void amg_influence_advanced(compressed_matrix< NumericT > const &A, viennacl::linalg::detail::amg::amg_level_context &amg_context, viennacl::linalg::amg_tag &tag)</div><div class="ttdoc">Routine for extracting strongly connected points considering a user-provided threshold value...</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2amg__operations_8hpp_source.html#l00084">amg_operations.hpp:84</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_a9933216144a64dbd433ec02c95bbfdd7a48d5bb166d266affee4d526e8671bec2"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a9933216144a64dbd433ec02c95bbfdd7a48d5bb166d266affee4d526e8671bec2">viennacl::linalg::AMG_INTERPOLATION_METHOD_DIRECT</a></div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00056">amg_base.hpp:56</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_1_1amg_html_afe1f07dfaab78dae1f5860c562a7cba3"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#afe1f07dfaab78dae1f5860c562a7cba3">viennacl::linalg::host_based::amg::amg_coarse_classic_onepass</a></div><div class="ttdeci">void amg_coarse_classic_onepass(compressed_matrix< NumericT > const &A, viennacl::linalg::detail::amg::amg_level_context &amg_context, viennacl::linalg::amg_tag &tag)</div><div class="ttdoc">Classical (RS) one-pass coarsening. Single-Threaded! (VIENNACL_AMG_COARSE_CLASSIC_ONEPASS) ...</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2amg__operations_8hpp_source.html#l00284">amg_operations.hpp:284</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence_html_ac8fbdb695eba99cd34b724b8f8a1b90f"><div class="ttname"><a href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html#ac8fbdb695eba99cd34b724b8f8a1b90f">viennacl::linalg::host_based::amg::amg_id_influence::amg_id_influence</a></div><div class="ttdeci">amg_id_influence(std::size_t id2, std::size_t influences2)</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2amg__operations_8hpp_source.html#l00262">amg_operations.hpp:262</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_a87a0ad5f26983b1c2d24ee302d886562"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">viennacl::compressed_matrix::handle</a></div><div class="ttdeci">const handle_type & handle() const </div><div class="ttdoc">Returns the OpenCL handle to the matrix entry array. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00942">compressed_matrix.hpp:942</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_af71dec61a70e8df4f78a527aa989a106"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">viennacl::compressed_matrix::handle1</a></div><div class="ttdeci">const handle_type & handle1() const </div><div class="ttdoc">Returns the OpenCL handle to the row index array. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00936">compressed_matrix.hpp:936</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_a3ba810acdca541a5eada4560982a645ca0d4c883a9aa8a8514fb260ac404e3c8b"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a3ba810acdca541a5eada4560982a645ca0d4c883a9aa8a8514fb260ac404e3c8b">viennacl::linalg::AMG_COARSENING_METHOD_MIS2_AGGREGATION</a></div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00050">amg_base.hpp:50</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_ae69ca21ded644fdd0c7a5168011b13ed"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#ae69ca21ded644fdd0c7a5168011b13ed">viennacl::compressed_matrix::nnz</a></div><div class="ttdeci">const vcl_size_t & nnz() const </div><div class="ttdoc">Returns the number of nonzero entries. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00931">compressed_matrix.hpp:931</a></div></div>
<div class="ttc" id="tests_2src_2bisect_8cpp_html_a52b5d30a2d7b064678644a3bf49b7f6c"><div class="ttname"><a href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a></div><div class="ttdeci">float NumericT</div><div class="ttdef"><b>Definition:</b> <a href="tests_2src_2bisect_8cpp_source.html#l00040">bisect.cpp:40</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_1_1amg_html_ad0eba4a8b7bc47d8c3e9ac58e7432625"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#ad0eba4a8b7bc47d8c3e9ac58e7432625">viennacl::linalg::host_based::amg::amg_coarse_ag_stage1_sequential</a></div><div class="ttdeci">void amg_coarse_ag_stage1_sequential(compressed_matrix< NumericT > const &A, viennacl::linalg::detail::amg::amg_level_context &amg_context, viennacl::linalg::amg_tag &tag)</div><div class="ttdoc">AG (aggregation based) coarsening, single-threaded version of stage 1. </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2amg__operations_8hpp_source.html#l00367">amg_operations.hpp:367</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_aa18d10f8a90e38bd9ff43c650fc670ef"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#aa18d10f8a90e38bd9ff43c650fc670ef">viennacl::linalg::prod</a></div><div class="ttdeci">VectorT prod(std::vector< std::vector< T, A1 >, A2 > const &matrix, VectorT const &vector)</div><div class="ttdef"><b>Definition:</b> <a href="prod_8hpp_source.html#l00102">prod.hpp:102</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_ab5922a97b73b869fbeeb6a2fa40e3b06"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#ab5922a97b73b869fbeeb6a2fa40e3b06">viennacl::compressed_matrix::generate_row_block_information</a></div><div class="ttdeci">void generate_row_block_information()</div><div class="ttdoc">Builds the row block information needed for fast sparse matrix-vector multiplications. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00999">compressed_matrix.hpp:999</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_1_1amg_html_a8a9d638da3da07ea3eebe634fd33b767"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#a8a9d638da3da07ea3eebe634fd33b767">viennacl::linalg::host_based::amg::amg_transpose</a></div><div class="ttdeci">void amg_transpose(compressed_matrix< NumericT > const &A, compressed_matrix< NumericT > &B)</div><div class="ttdoc">Computes B = trans(A). </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2amg__operations_8hpp_source.html#l00972">amg_operations.hpp:972</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_a3ba810acdca541a5eada4560982a645ca867e1cc6319da3a2d502c9878d27170d"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a3ba810acdca541a5eada4560982a645ca867e1cc6319da3a2d502c9878d27170d">viennacl::linalg::AMG_COARSENING_METHOD_AGGREGATION</a></div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00049">amg_base.hpp:49</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_1_1amg_html_aa0902e5a65f61dc57462ac3d5584b1aa"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#aa0902e5a65f61dc57462ac3d5584b1aa">viennacl::linalg::host_based::amg::operator></a></div><div class="ttdeci">bool operator>(amg_id_influence const &a, amg_id_influence const &b)</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2amg__operations_8hpp_source.html#l00268">amg_operations.hpp:268</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_a9933216144a64dbd433ec02c95bbfdd7afcffee5ed6e7ad032a9ffebe615b5932"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a9933216144a64dbd433ec02c95bbfdd7afcffee5ed6e7ad032a9ffebe615b5932">viennacl::linalg::AMG_INTERPOLATION_METHOD_SMOOTHED_AGGREGATION</a></div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00058">amg_base.hpp:58</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_1_1amg_html_ae39d16e7685813209abe899b3f4b979a"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#ae39d16e7685813209abe899b3f4b979a">viennacl::linalg::host_based::amg::assign_to_dense</a></div><div class="ttdeci">void assign_to_dense(viennacl::compressed_matrix< NumericT, AlignmentV > const &A, viennacl::matrix_base< NumericT > &B)</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2amg__operations_8hpp_source.html#l01042">amg_operations.hpp:1042</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1amg__tag_html_a6f26714c41733e4e6546997e962dafa4"><div class="ttname"><a href="classviennacl_1_1linalg_1_1amg__tag.html#a6f26714c41733e4e6546997e962dafa4">viennacl::linalg::amg_tag::get_strong_connection_threshold</a></div><div class="ttdeci">double get_strong_connection_threshold() const </div><div class="ttdoc">Returns the strong connection threshold parameter. </div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00105">amg_base.hpp:105</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context_html_aac5a6ef480cf58fb8fa490760bb94e35"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aac5a6ef480cf58fb8fa490760bb94e35">viennacl::linalg::detail::amg::amg_level_context::num_coarse_</a></div><div class="ttdeci">unsigned int num_coarse_</div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00199">amg_base.hpp:199</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_a91f5145351151a66f916bdc3901206f2"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">viennacl::compressed_matrix::handle2</a></div><div class="ttdeci">const handle_type & handle2() const </div><div class="ttdoc">Returns the OpenCL handle to the column index array. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00938">compressed_matrix.hpp:938</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a98a0afcc513111ffa0bd138f891930df"><div class="ttname"><a href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">viennacl::vcl_size_t</a></div><div class="ttdeci">std::size_t vcl_size_t</div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00075">forwards.h:75</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_1_1amg_html_a3b04b036fef83cb3a24969ece6969fcb"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#a3b04b036fef83cb3a24969ece6969fcb">viennacl::linalg::host_based::amg::enumerate_coarse_points</a></div><div class="ttdeci">void enumerate_coarse_points(viennacl::linalg::detail::amg::amg_level_context &amg_context)</div><div class="ttdoc">Assign IDs to coarse points. </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2amg__operations_8hpp_source.html#l00235">amg_operations.hpp:235</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__base_html_a4082cd3586bc99deb68733257b30c51f"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#a4082cd3586bc99deb68733257b30c51f">viennacl::matrix_base::handle</a></div><div class="ttdeci">handle_type & handle()</div><div class="ttdoc">Returns the OpenCL handle, non-const-version. </div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00244">matrix_def.hpp:244</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context_html_aa97530b4793135fb8d5e71010c8ff637adf77f4d874aa905e58b1d01448d599b7"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637adf77f4d874aa905e58b1d01448d599b7">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_UNDECIDED</a></div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00189">amg_base.hpp:189</a></div></div>
<div class="ttc" id="classviennacl_1_1vector_html"><div class="ttname"><a href="classviennacl_1_1vector.html">viennacl::vector< unsigned int ></a></div></div>
<div class="ttc" id="namespaceviennacl_html_a507d2ac469c79997f2bb6e82b37b7483"><div class="ttname"><a href="namespaceviennacl.html#a507d2ac469c79997f2bb6e82b37b7483">viennacl::diag</a></div><div class="ttdeci">vector_expression< const matrix_base< NumericT >, const int, op_matrix_diag > diag(const matrix_base< NumericT > &A, int k=0)</div><div class="ttdef"><b>Definition:</b> <a href="matrix_8hpp_source.html#l00895">matrix.hpp:895</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_1_1amg_html_a4dd22073cd7d7a451100ccc3cb11f6e2"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#a4dd22073cd7d7a451100ccc3cb11f6e2">viennacl::linalg::host_based::amg::smooth_jacobi</a></div><div class="ttdeci">void smooth_jacobi(unsigned int iterations, compressed_matrix< NumericT > const &A, vector< NumericT > &x, vector< NumericT > &x_backup, vector< NumericT > const &rhs_smooth, NumericT weight)</div><div class="ttdoc">Damped Jacobi Smoother (CUDA version) </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2amg__operations_8hpp_source.html#l01074">amg_operations.hpp:1074</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a0a574e6cd04ca0e42298b4ab845700e4"><div class="ttname"><a href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">viennacl::row</a></div><div class="ttdeci">vector_expression< const matrix_base< NumericT, F >, const unsigned int, op_row > row(const matrix_base< NumericT, F > &A, unsigned int i)</div><div class="ttdef"><b>Definition:</b> <a href="matrix_8hpp_source.html#l00910">matrix.hpp:910</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_1_1amg_html_ab86571b812e63c9a26a54e2b5d5d07ad"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#ab86571b812e63c9a26a54e2b5d5d07ad">viennacl::linalg::host_based::amg::amg_coarse_ag_stage1_mis2</a></div><div class="ttdeci">void amg_coarse_ag_stage1_mis2(compressed_matrix< NumericT > const &A, viennacl::linalg::detail::amg::amg_level_context &amg_context, viennacl::linalg::amg_tag &tag)</div><div class="ttdoc">AG (aggregation based) coarsening, multi-threaded version of stage 1 using parallel maximum independe...</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2amg__operations_8hpp_source.html#l00418">amg_operations.hpp:418</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_1_1amg_html_aaaff065269d5c9fc096e65610bb6830d"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#aaaff065269d5c9fc096e65610bb6830d">viennacl::linalg::host_based::amg::amg_interpol_sa</a></div><div class="ttdeci">void amg_interpol_sa(compressed_matrix< NumericT > const &A, compressed_matrix< NumericT > &P, viennacl::linalg::detail::amg::amg_level_context &amg_context, viennacl::linalg::amg_tag &tag)</div><div class="ttdoc">Smoothed aggregation interpolation. Multi-Threaded! (VIENNACL_INTERPOL_SA) </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2amg__operations_8hpp_source.html#l00880">amg_operations.hpp:880</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context_html_aa97530b4793135fb8d5e71010c8ff637af803b8af4a6abdaf3d0fd08c18da6de6"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637af803b8af4a6abdaf3d0fd08c18da6de6">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_FINE</a></div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00191">amg_base.hpp:191</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1amg__tag_html"><div class="ttname"><a href="classviennacl_1_1linalg_1_1amg__tag.html">viennacl::linalg::amg_tag</a></div><div class="ttdoc">A tag for algebraic multigrid (AMG). Used to transport information from the user to the implementatio...</div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00064">amg_base.hpp:64</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_1_1amg_html_a07adc302c361376437c88f1c1e7e0845"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#a07adc302c361376437c88f1c1e7e0845">viennacl::linalg::host_based::amg::amg_influence</a></div><div class="ttdeci">void amg_influence(compressed_matrix< NumericT > const &A, viennacl::linalg::detail::amg::amg_level_context &amg_context, viennacl::linalg::amg_tag &tag)</div><div class="ttdoc">Dispatcher for influence processing. </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2amg__operations_8hpp_source.html#l00224">amg_operations.hpp:224</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_a6707f5dab8f482170d2046a605f46ef8"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a></div><div class="ttdeci">viennacl::context context(T const &t)</div><div class="ttdoc">Returns an ID for the currently active memory domain of an object. </div><div class="ttdef"><b>Definition:</b> <a href="traits_2context_8hpp_source.html#l00040">context.hpp:40</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_1_1amg_html_aad0d0cdbb26886a29123be5de75e71c1"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#aad0d0cdbb26886a29123be5de75e71c1">viennacl::linalg::host_based::amg::amg_influence_trivial</a></div><div class="ttdeci">void amg_influence_trivial(compressed_matrix< NumericT > const &A, viennacl::linalg::detail::amg::amg_level_context &amg_context, viennacl::linalg::amg_tag &tag)</div><div class="ttdoc">Routine for taking all connections in the matrix as strong. </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2amg__operations_8hpp_source.html#l00050">amg_operations.hpp:50</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a10b7f8cf6b8864a7aa196d670481a453"><div class="ttname"><a href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a></div><div class="ttdeci">void copy(std::vector< NumericT > &cpu_vec, circulant_matrix< NumericT, AlignmentV > &gpu_mat)</div><div class="ttdoc">Copies a circulant matrix from the std::vector to the OpenCL device (either GPU or multi-core CPU) ...</div><div class="ttdef"><b>Definition:</b> <a href="circulant__matrix_8hpp_source.html#l00150">circulant_matrix.hpp:150</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_1_1amg_html_ac60ddb0b95d73146d903ba0f1c10b707"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#ac60ddb0b95d73146d903ba0f1c10b707">viennacl::linalg::host_based::amg::amg_coarse</a></div><div class="ttdeci">void amg_coarse(MatrixT &A, viennacl::linalg::detail::amg::amg_level_context &amg_context, viennacl::linalg::amg_tag &tag)</div><div class="ttdoc">Entry point and dispatcher for coarsening procedures. </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2amg__operations_8hpp_source.html#l00697">amg_operations.hpp:697</a></div></div>
<div class="ttc" id="classviennacl_1_1vector__base_html_a15c47ae4326098aeaa4ed6b91fc6df9b"><div class="ttname"><a href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">viennacl::vector_base::size</a></div><div class="ttdeci">size_type size() const </div><div class="ttdoc">Returns the length of the vector (cf. std::vector) </div><div class="ttdef"><b>Definition:</b> <a href="vector__def_8hpp_source.html#l00118">vector_def.hpp:118</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context_html_a8856e6db54e88c12e2ac728b5fcbe1e4"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a8856e6db54e88c12e2ac728b5fcbe1e4">viennacl::linalg::detail::amg::amg_level_context::point_types_</a></div><div class="ttdeci">viennacl::vector< unsigned int > point_types_</div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00197">amg_base.hpp:197</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1amg__tag_html_afb4b14cf0b9e99161fa8c1da4647ad0d"><div class="ttname"><a href="classviennacl_1_1linalg_1_1amg__tag.html#afb4b14cf0b9e99161fa8c1da4647ad0d">viennacl::linalg::amg_tag::get_interpolation_method</a></div><div class="ttdeci">amg_interpolation_method get_interpolation_method() const </div><div class="ttdoc">Returns the current interpolation method. </div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00093">amg_base.hpp:93</a></div></div>
<div class="ttc" id="classviennacl_1_1tools_1_1sparse__matrix__adapter_html"><div class="ttname"><a href="classviennacl_1_1tools_1_1sparse__matrix__adapter.html">viennacl::tools::sparse_matrix_adapter</a></div><div class="ttdoc">Adapts a non-const sparse matrix type made up from std::vector<std::map<SizeT, NumericT> > to basic u...</div><div class="ttdef"><b>Definition:</b> <a href="adapter_8hpp_source.html#l00357">adapter.hpp:357</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix< NumericT ></a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__base_html_a00e30fdc61081a73995b54175a91d220"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#a00e30fdc61081a73995b54175a91d220">viennacl::matrix_base::internal_size2</a></div><div class="ttdeci">size_type internal_size2() const </div><div class="ttdoc">Returns the internal number of columns. Usually required for launching OpenCL kernels only...</div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00240">matrix_def.hpp:240</a></div></div>
<div class="ttc" id="amg__base_8hpp_html"><div class="ttname"><a href="amg__base_8hpp.html">amg_base.hpp</a></div><div class="ttdoc">Helper classes and functions for the AMG preconditioner. Experimental. </div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context_html_aa97530b4793135fb8d5e71010c8ff637afbc2c39efc86491c26c2401d06f2cc8a"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637afbc2c39efc86491c26c2401d06f2cc8a">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_COARSE</a></div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00190">amg_base.hpp:190</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_1_1amg_html_a954f01bcddfc708509f4d2ab34c02b3d"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#a954f01bcddfc708509f4d2ab34c02b3d">viennacl::linalg::host_based::amg::amg_interpol</a></div><div class="ttdeci">void amg_interpol(MatrixT const &A, MatrixT &P, viennacl::linalg::detail::amg::amg_level_context &amg_context, viennacl::linalg::amg_tag &tag)</div><div class="ttdoc">Dispatcher for building the interpolation matrix. </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2amg__operations_8hpp_source.html#l00952">amg_operations.hpp:952</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence_html_a8d18e6a95737bd67478af70d84513407"><div class="ttname"><a href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html#a8d18e6a95737bd67478af70d84513407">viennacl::linalg::host_based::amg::amg_id_influence::id</a></div><div class="ttdeci">unsigned int id</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2amg__operations_8hpp_source.html#l00264">amg_operations.hpp:264</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_1_1amg_html_a7b0d5c05ac088175949b7fe15b66606f"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html#a7b0d5c05ac088175949b7fe15b66606f">viennacl::linalg::host_based::amg::amg_interpol_direct</a></div><div class="ttdeci">void amg_interpol_direct(compressed_matrix< NumericT > const &A, compressed_matrix< NumericT > &P, viennacl::linalg::detail::amg::amg_level_context &amg_context, viennacl::linalg::amg_tag &tag)</div><div class="ttdoc">Direct interpolation. Multi-threaded! (VIENNACL_AMG_INTERPOL_DIRECT) </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2amg__operations_8hpp_source.html#l00724">amg_operations.hpp:724</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context_html_aa647069a4102267171e395fcfd10e7ac"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa647069a4102267171e395fcfd10e7ac">viennacl::linalg::detail::amg::amg_level_context::coarse_id_</a></div><div class="ttdeci">viennacl::vector< unsigned int > coarse_id_</div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00198">amg_base.hpp:198</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_a3ba810acdca541a5eada4560982a645ca5167faa7286ca297508f581b26a048dc"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a3ba810acdca541a5eada4560982a645ca5167faa7286ca297508f581b26a048dc">viennacl::linalg::AMG_COARSENING_METHOD_ONEPASS</a></div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00048">amg_base.hpp:48</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_afcf49945a63836e1edfca536fcd191fb"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#afcf49945a63836e1edfca536fcd191fb">viennacl::compressed_matrix::resize</a></div><div class="ttdeci">void resize(vcl_size_t new_size1, vcl_size_t new_size2, bool preserve=true)</div><div class="ttdoc">Resize the matrix. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00829">compressed_matrix.hpp:829</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence_html_ab639ffa0356786000ae91eb51b642657"><div class="ttname"><a href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html#ab639ffa0356786000ae91eb51b642657">viennacl::linalg::host_based::amg::amg_id_influence::influences</a></div><div class="ttdeci">unsigned int influences</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2amg__operations_8hpp_source.html#l00265">amg_operations.hpp:265</a></div></div>
<div class="ttc" id="classviennacl_1_1vector__base_html_a64e98aea5aa298ad63e3832a04c19648"><div class="ttname"><a href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">viennacl::vector_base::handle</a></div><div class="ttdeci">const handle_type & handle() const </div><div class="ttdoc">Returns the memory handle. </div><div class="ttdef"><b>Definition:</b> <a href="vector__def_8hpp_source.html#l00128">vector_def.hpp:128</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context_html_a757fe2a72ed0d9eb3649ecda1c83129e"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a757fe2a72ed0d9eb3649ecda1c83129e">viennacl::linalg::detail::amg::amg_level_context::influence_values_</a></div><div class="ttdeci">viennacl::vector< unsigned int > influence_values_</div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00196">amg_base.hpp:196</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context_html_a262b6f406db2b16b53936b8759f83d05"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a262b6f406db2b16b53936b8759f83d05">viennacl::linalg::detail::amg::amg_level_context::influence_ids_</a></div><div class="ttdeci">viennacl::vector< unsigned int > influence_ids_</div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00195">amg_base.hpp:195</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context_html_ad537babcb184069cc920bfb2140860de"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#ad537babcb184069cc920bfb2140860de">viennacl::linalg::detail::amg::amg_level_context::influence_jumper_</a></div><div class="ttdeci">viennacl::vector< unsigned int > influence_jumper_</div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00194">amg_base.hpp:194</a></div></div>
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