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<div class="title">sparse_matrix_operations.hpp</div> </div>
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<a href="sparse__matrix__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_SPARSE_MATRIX_OPERATIONS_HPP_</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="preprocessor">#define VIENNACL_LINALG_SPARSE_MATRIX_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 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 "<a class="code" href="forwards_8h.html">viennacl/forwards.h</a>"</span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include "<a class="code" href="scalar_8hpp.html">viennacl/scalar.hpp</a>"</span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="vector_8hpp.html">viennacl/vector.hpp</a>"</span></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="matrix_8hpp.html">viennacl/matrix.hpp</a>"</span></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="tools_8hpp.html">viennacl/tools/tools.hpp</a>"</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="host__based_2sparse__matrix__operations_8hpp.html">viennacl/linalg/host_based/sparse_matrix_operations.hpp</a>"</span></div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor"> #include "<a class="code" href="opencl_2sparse__matrix__operations_8hpp.html">viennacl/linalg/opencl/sparse_matrix_operations.hpp</a>"</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="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor"> #include "<a class="code" href="cuda_2sparse__matrix__operations_8hpp.html">viennacl/linalg/cuda/sparse_matrix_operations.hpp</a>"</span></div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#endif</span></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>viennacl</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span> {</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keyword">namespace </span>linalg</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>  <span class="keyword">namespace </span>detail</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  {</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span> </div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keyword">template</span><<span class="keyword">typename</span> SparseMatrixType, <span class="keyword">typename</span> SCALARTYPE, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> VEC_ALIGNMENT></div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keyword">typename</span> <a class="code" href="structviennacl_1_1enable__if.html">viennacl::enable_if< viennacl::is_any_sparse_matrix<SparseMatrixType>::value</a> >::type</div>
<div class="line"><a name="l00050"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1detail.html#a5ef8943054b39077573f94234980bd0f"> 50</a></span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1detail.html#a5ef8943054b39077573f94234980bd0f">row_info</a>(SparseMatrixType <span class="keyword">const</span> & mat,</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <a class="code" href="classviennacl_1_1vector.html">vector<SCALARTYPE, VEC_ALIGNMENT></a> & vec,</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1detail.html#adc2e9ed3e4d9fb0258840837aaa722ac">row_info_types</a> info_selector)</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>  <span class="keywordflow">switch</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(mat).get_active_handle_id())</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="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>:</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1detail.html#a58dfcdc80252eb2bc06c50a1ef533fc9">viennacl::linalg::host_based::detail::row_info</a>(mat, vec, info_selector);</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>:</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1detail.html#a256a599dedd093618c9936e85a75b3d4">viennacl::linalg::opencl::detail::row_info</a>(mat, vec, info_selector);</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>:</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda_1_1detail.html#a45615bf3f3314b66269070ae06bc3386">viennacl::linalg::cuda::detail::row_info</a>(mat, vec, info_selector);</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a>:</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not initialised!"</span>);</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not implemented"</span>);</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>  }</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  }</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </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>  <span class="comment">// A * x</span></div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keyword">template</span><<span class="keyword">typename</span> SparseMatrixType, <span class="keyword">class</span> ScalarType></div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keyword">typename</span> <a class="code" href="structviennacl_1_1enable__if.html">viennacl::enable_if< viennacl::is_any_sparse_matrix<SparseMatrixType>::value</a>>::type</div>
<div class="line"><a name="l00092"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg.html#ac4ecc092e443847d1968d9d2cef07eda"> 92</a></span>  <a class="code" href="namespaceviennacl_1_1linalg.html#aafc6db8d806f67c24f93eaaded84b853">prod_impl</a>(<span class="keyword">const</span> SparseMatrixType & mat,</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keyword">const</span> <a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<ScalarType></a> & vec,</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <a class="code" href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a> alpha,</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<ScalarType></a> & result,</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <a class="code" href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a> beta)</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  {</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  assert( (mat.size1() == result.<a class="code" href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">size</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size check failed for compressed matrix-vector product: size1(mat) != size(result)"</span>));</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  assert( (mat.size2() == vec.<a class="code" href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">size</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size check failed for compressed matrix-vector product: size2(mat) != size(x)"</span>));</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordflow">switch</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(mat).<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#a5951aceb881068a77b4af8825b547ea3">get_active_handle_id</a>())</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>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>:</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#a73ab507a304067a153e0ad741ed6a40d">viennacl::linalg::host_based::prod_impl</a>(mat, vec, alpha, result, beta);</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>:</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a18a93d38ca1eff472149093974edb5cb">viennacl::linalg::opencl::prod_impl</a>(mat, vec, alpha, result, beta);</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>:</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#afd7583ae441f66185764ae2fed763feb">viennacl::linalg::cuda::prod_impl</a>(mat, vec, alpha, result, beta);</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a>:</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not initialised!"</span>);</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not implemented"</span>);</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  }</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  }</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </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>  <span class="comment">// A * B</span></div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="comment"></span> <span class="keyword">template</span><<span class="keyword">typename</span> SparseMatrixType, <span class="keyword">class</span> ScalarType></div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keyword">typename</span> <a class="code" href="structviennacl_1_1enable__if.html">viennacl::enable_if< viennacl::is_any_sparse_matrix<SparseMatrixType>::value</a>>::type</div>
<div class="line"><a name="l00135"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg.html#ac6448c1d1c0cdb1010a146c0238c8d20"> 135</a></span>  <a class="code" href="namespaceviennacl_1_1linalg.html#aafc6db8d806f67c24f93eaaded84b853">prod_impl</a>(<span class="keyword">const</span> SparseMatrixType & sp_mat,</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keyword">const</span> <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<ScalarType></a> & d_mat,</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<ScalarType></a> & result)</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  {</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  assert( (sp_mat.size1() == result.<a class="code" href="classviennacl_1_1matrix__base.html#a24e4f5fa27a1af5ad47e52a97c065d68">size1</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size check failed for compressed matrix - dense matrix product: size1(sp_mat) != size1(result)"</span>));</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  assert( (sp_mat.size2() == d_mat.<a class="code" href="classviennacl_1_1matrix__base.html#a24e4f5fa27a1af5ad47e52a97c065d68">size1</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size check failed for compressed matrix - dense matrix product: size2(sp_mat) != size1(d_mat)"</span>));</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">switch</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(sp_mat).<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#a5951aceb881068a77b4af8825b547ea3">get_active_handle_id</a>())</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  {</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>:</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#a73ab507a304067a153e0ad741ed6a40d">viennacl::linalg::host_based::prod_impl</a>(sp_mat, d_mat, result);</div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>:</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a18a93d38ca1eff472149093974edb5cb">viennacl::linalg::opencl::prod_impl</a>(sp_mat, d_mat, result);</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span> <span class="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>:</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#afd7583ae441f66185764ae2fed763feb">viennacl::linalg::cuda::prod_impl</a>(sp_mat, d_mat, result);</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a>:</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not initialised!"</span>);</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not implemented"</span>);</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>  }</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>  <span class="comment">// A * transpose(B)</span></div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span> <span class="comment"></span> <span class="keyword">template</span><<span class="keyword">typename</span> SparseMatrixType, <span class="keyword">class</span> ScalarType></div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keyword">typename</span> <a class="code" href="structviennacl_1_1enable__if.html">viennacl::enable_if< viennacl::is_any_sparse_matrix<SparseMatrixType>::value</a>>::type</div>
<div class="line"><a name="l00175"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg.html#a07ddf85f2f61d198160ffd13bf7aebac"> 175</a></span>  <a class="code" href="namespaceviennacl_1_1linalg.html#aafc6db8d806f67c24f93eaaded84b853">prod_impl</a>(<span class="keyword">const</span> SparseMatrixType & sp_mat,</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keyword">const</span> <a class="code" href="classviennacl_1_1matrix__expression.html">viennacl::matrix_expression</a><<span class="keyword">const</span> <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<ScalarType></a>,</div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keyword">const</span> <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<ScalarType></a>,</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <a class="code" href="structviennacl_1_1op__trans.html">viennacl::op_trans</a>>& d_mat,</div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<ScalarType></a> & result)</div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  {</div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  assert( (sp_mat.size1() == result.<a class="code" href="classviennacl_1_1matrix__base.html#a24e4f5fa27a1af5ad47e52a97c065d68">size1</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size check failed for compressed matrix - dense matrix product: size1(sp_mat) != size1(result)"</span>));</div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  assert( (sp_mat.size2() == d_mat.size1()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size check failed for compressed matrix - dense matrix product: size2(sp_mat) != size1(d_mat)"</span>));</div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span> </div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keywordflow">switch</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(sp_mat).<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#a5951aceb881068a77b4af8825b547ea3">get_active_handle_id</a>())</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">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>:</div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#a73ab507a304067a153e0ad741ed6a40d">viennacl::linalg::host_based::prod_impl</a>(sp_mat, d_mat, result);</div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>:</div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a18a93d38ca1eff472149093974edb5cb">viennacl::linalg::opencl::prod_impl</a>(sp_mat, d_mat, result);</div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span> <span class="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>:</div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#afd7583ae441f66185764ae2fed763feb">viennacl::linalg::cuda::prod_impl</a>(sp_mat, d_mat, result);</div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a>:</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not initialised!"</span>);</div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not implemented"</span>);</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>  }</div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span> </div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="comment">// A * B with both A and B sparse</span></div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span> </div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keywordtype">void</span></div>
<div class="line"><a name="l00219"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg.html#ac371515668e3ef88cd49a4adba597e94"> 219</a></span>  <a class="code" href="namespaceviennacl_1_1linalg.html#aafc6db8d806f67c24f93eaaded84b853">prod_impl</a>(<span class="keyword">const</span> <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT></a> & A,</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keyword">const</span> <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT></a> & B,</div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT></a> & C)</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  {</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  assert( (A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>() == B.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size check failed for sparse matrix-matrix product: size2(A) != size1(B)"</span>));</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  assert( (C.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>() == 0 || C.<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>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size check failed for sparse matrix-matrix product: size1(A) != size1(C)"</span>));</div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  assert( (C.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>() == 0 || C.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>() == B.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size check failed for sparse matrix-matrix product: size2(B) != size2(B)"</span>));</div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span> </div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keywordflow">switch</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(A).<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#a5951aceb881068a77b4af8825b547ea3">get_active_handle_id</a>())</div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  {</div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>:</div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#a73ab507a304067a153e0ad741ed6a40d">viennacl::linalg::host_based::prod_impl</a>(A, B, C);</div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>:</div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a18a93d38ca1eff472149093974edb5cb">viennacl::linalg::opencl::prod_impl</a>(A, B, C);</div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span> <span class="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>:</div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#afd7583ae441f66185764ae2fed763feb">viennacl::linalg::cuda::prod_impl</a>(A, B, C);</div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a>:</div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not initialised!"</span>);</div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not implemented"</span>);</div>
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  }</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> </div>
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keyword">template</span><<span class="keyword">typename</span> SparseMatrixType, <span class="keyword">class</span> ScalarType, <span class="keyword">typename</span> SOLVERTAG></div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keyword">typename</span> <a class="code" href="structviennacl_1_1enable__if.html">viennacl::enable_if< viennacl::is_any_sparse_matrix<SparseMatrixType>::value</a>>::type</div>
<div class="line"><a name="l00258"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg.html#a2cd904fcd01a99005ca9f83f3c696b41"> 258</a></span>  <a class="code" href="namespaceviennacl_1_1linalg.html#adf06f61be9418e5817eed66004f9dd2b">inplace_solve</a>(<span class="keyword">const</span> SparseMatrixType & mat,</div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<ScalarType></a> & vec,</div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  SOLVERTAG tag)</div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  {</div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  assert( (mat.size1() == mat.size2()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size check failed for triangular solve on compressed matrix: size1(mat) != size2(mat)"</span>));</div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  assert( (mat.size2() == vec.<a class="code" href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">size</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size check failed for compressed matrix-vector product: size2(mat) != size(x)"</span>));</div>
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span> </div>
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keywordflow">switch</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(mat).<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#a5951aceb881068a77b4af8825b547ea3">get_active_handle_id</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>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>:</div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#af83ff307c97a945a568c30253c1a7c61">viennacl::linalg::host_based::inplace_solve</a>(mat, vec, tag);</div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>:</div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#ac90a3dca0595b15ae04662bddb6cf57c">viennacl::linalg::opencl::inplace_solve</a>(mat, vec, tag);</div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span> <span class="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>:</div>
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#acb0b34e3ac22c72081eceaabeab80f22">viennacl::linalg::cuda::inplace_solve</a>(mat, vec, tag);</div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a>:</div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not initialised!"</span>);</div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not implemented"</span>);</div>
<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  }</div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  }</div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span> </div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span> </div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="keyword">template</span><<span class="keyword">typename</span> SparseMatrixType, <span class="keyword">class</span> ScalarType, <span class="keyword">typename</span> SOLVERTAG></div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="keyword">typename</span> <a class="code" href="structviennacl_1_1enable__if.html">viennacl::enable_if< viennacl::is_any_sparse_matrix<SparseMatrixType>::value</a>>::type</div>
<div class="line"><a name="l00296"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg.html#a02babae1af157516bd1e92d28c711957"> 296</a></span>  <a class="code" href="namespaceviennacl_1_1linalg.html#adf06f61be9418e5817eed66004f9dd2b">inplace_solve</a>(<span class="keyword">const</span> <a class="code" href="classviennacl_1_1matrix__expression.html">matrix_expression<const SparseMatrixType, const SparseMatrixType, op_trans></a> & mat,</div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<ScalarType></a> & vec,</div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  SOLVERTAG tag)</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>  assert( (mat.<a class="code" href="classviennacl_1_1matrix__expression.html#a3125cc5f209063de6a99dc67e19d42bb">size1</a>() == mat.<a class="code" href="classviennacl_1_1matrix__expression.html#ad8516f3a2ef4db4d5379fb64832fd39f">size2</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size check failed for triangular solve on transposed compressed matrix: size1(mat) != size2(mat)"</span>));</div>
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  assert( (mat.<a class="code" href="classviennacl_1_1matrix__expression.html#a3125cc5f209063de6a99dc67e19d42bb">size1</a>() == vec.<a class="code" href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">size</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size check failed for transposed compressed matrix triangular solve: size1(mat) != size(x)"</span>));</div>
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span> </div>
<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keywordflow">switch</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(mat.<a class="code" href="classviennacl_1_1matrix__expression.html#aa2c582e8d2c1cafbf2ffdf05c9fdfaca">lhs</a>()).get_active_handle_id())</div>
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  {</div>
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>:</div>
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#af83ff307c97a945a568c30253c1a7c61">viennacl::linalg::host_based::inplace_solve</a>(mat, vec, tag);</div>
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>:</div>
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#ac90a3dca0595b15ae04662bddb6cf57c">viennacl::linalg::opencl::inplace_solve</a>(mat, vec, tag);</div>
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00313"></a><span class="lineno"> 313</span> <span class="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>:</div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#acb0b34e3ac22c72081eceaabeab80f22">viennacl::linalg::cuda::inplace_solve</a>(mat, vec, tag);</div>
<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00317"></a><span class="lineno"> 317</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a>:</div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not initialised!"</span>);</div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not implemented"</span>);</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>  }</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> </div>
<div class="line"><a name="l00326"></a><span class="lineno"> 326</span> </div>
<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="keyword">namespace </span>detail</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> </div>
<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <span class="keyword">template</span><<span class="keyword">typename</span> SparseMatrixType, <span class="keyword">class</span> ScalarType, <span class="keyword">typename</span> SOLVERTAG></div>
<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keyword">typename</span> <a class="code" href="structviennacl_1_1enable__if.html">viennacl::enable_if< viennacl::is_any_sparse_matrix<SparseMatrixType>::value</a>>::type</div>
<div class="line"><a name="l00332"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1detail.html#a926494a1bd9b3c66def0c860bf564b42"> 332</a></span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1detail.html#a926494a1bd9b3c66def0c860bf564b42">block_inplace_solve</a>(<span class="keyword">const</span> <a class="code" href="classviennacl_1_1matrix__expression.html">matrix_expression<const SparseMatrixType, const SparseMatrixType, op_trans></a> & mat,</div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <a class="code" href="classviennacl_1_1backend_1_1mem__handle.html">viennacl::backend::mem_handle</a> <span class="keyword">const</span> & block_index_array, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> num_blocks,</div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<ScalarType></a> <span class="keyword">const</span> & mat_diagonal,</div>
<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<ScalarType></a> & vec,</div>
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  SOLVERTAG tag)</div>
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  {</div>
<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  assert( (mat.<a class="code" href="classviennacl_1_1matrix__expression.html#a3125cc5f209063de6a99dc67e19d42bb">size1</a>() == mat.<a class="code" href="classviennacl_1_1matrix__expression.html#ad8516f3a2ef4db4d5379fb64832fd39f">size2</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size check failed for triangular solve on transposed compressed matrix: size1(mat) != size2(mat)"</span>));</div>
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  assert( (mat.<a class="code" href="classviennacl_1_1matrix__expression.html#a3125cc5f209063de6a99dc67e19d42bb">size1</a>() == vec.<a class="code" href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">size</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size check failed for transposed compressed matrix triangular solve: size1(mat) != size(x)"</span>));</div>
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span> </div>
<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <span class="keywordflow">switch</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(mat.<a class="code" href="classviennacl_1_1matrix__expression.html#aa2c582e8d2c1cafbf2ffdf05c9fdfaca">lhs</a>()).get_active_handle_id())</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>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>:</div>
<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1detail.html#abc856cc45c42e8809e7e867904a4a7d7">viennacl::linalg::host_based::detail::block_inplace_solve</a>(mat, block_index_array, num_blocks, mat_diagonal, vec, tag);</div>
<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span> <span class="preprocessor"> #ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>:</div>
<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1detail.html#a144fd7dc25be2029356c24f07f281edc">viennacl::linalg::opencl::detail::block_inplace_solve</a>(mat, block_index_array, num_blocks, mat_diagonal, vec, tag);</div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span> <span class="preprocessor"> #endif</span></div>
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span> <span class="preprocessor"> #ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>:</div>
<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda_1_1detail.html#ac588666828831dc470e4ed55da6d9a10">viennacl::linalg::cuda::detail::block_inplace_solve</a>(mat, block_index_array, num_blocks, mat_diagonal, vec, tag);</div>
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00355"></a><span class="lineno"> 355</span> <span class="preprocessor"> #endif</span></div>
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a>:</div>
<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not initialised!"</span>);</div>
<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not implemented"</span>);</div>
<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  }</div>
<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  }</div>
<div class="line"><a name="l00362"></a><span class="lineno"> 362</span> </div>
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span> </div>
<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  }</div>
<div class="line"><a name="l00365"></a><span class="lineno"> 365</span> </div>
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span> </div>
<div class="line"><a name="l00367"></a><span class="lineno"> 367</span> </div>
<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  } <span class="comment">//namespace linalg</span></div>
<div class="line"><a name="l00369"></a><span class="lineno"> 369</span> </div>
<div class="line"><a name="l00370"></a><span class="lineno"> 370</span> </div>
<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <span class="keyword">template</span><<span class="keyword">typename</span> M1></div>
<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <span class="keyword">typename</span> <a class="code" href="structviennacl_1_1enable__if.html">viennacl::enable_if<viennacl::is_any_sparse_matrix<M1>::value</a>,</div>
<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  matrix_expression< const M1, const M1, op_trans></div>
<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  >::type</div>
<div class="line"><a name="l00376"></a><span class="lineno"><a class="line" href="namespaceviennacl.html#a2ee5dd77d41040e0a937a60346475b84"> 376</a></span>  <a class="code" href="namespaceviennacl.html#a2ee5dd77d41040e0a937a60346475b84">trans</a>(<span class="keyword">const</span> M1 & mat)</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="keywordflow">return</span> <a class="code" href="classviennacl_1_1matrix__expression.html">matrix_expression< const M1, const M1, op_trans></a>(mat, mat);</div>
<div class="line"><a name="l00379"></a><span class="lineno"> 379</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">//free functions:</span></div>
<div class="line"><a name="l00387"></a><span class="lineno"> 387</span> <span class="comment"></span> <span class="keyword">template</span><<span class="keyword">typename</span> SCALARTYPE, <span class="keyword">typename</span> SparseMatrixType></div>
<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="keyword">typename</span> <a class="code" href="structviennacl_1_1enable__if.html">viennacl::enable_if< viennacl::is_any_sparse_matrix<SparseMatrixType>::value</a>,</div>
<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<SCALARTYPE></a> >::type</div>
<div class="line"><a name="l00390"></a><span class="lineno"><a class="line" href="namespaceviennacl.html#ab85e3912a40d5d479835e7608808f07e"> 390</a></span>  <a class="code" href="namespaceviennacl.html#a4d3a8290e94b15b653b3a0f0a3f80496">operator+</a>(<a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<SCALARTYPE></a> & result,</div>
<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <span class="keyword">const</span> <a class="code" href="classviennacl_1_1vector__expression.html">viennacl::vector_expression</a>< <span class="keyword">const</span> SparseMatrixType, <span class="keyword">const</span> <a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<SCALARTYPE></a>, <a class="code" href="structviennacl_1_1op__prod.html">viennacl::op_prod</a>> & proxy)</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>  assert(proxy.lhs().size1() == result.<a class="code" href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">size</a>() && bool(<span class="stringliteral">"Dimensions for addition of sparse matrix-vector product to vector don't match!"</span>));</div>
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <a class="code" href="classviennacl_1_1vector.html">vector<SCALARTYPE></a> temp(proxy.lhs().size1());</div>
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#aafc6db8d806f67c24f93eaaded84b853">viennacl::linalg::prod_impl</a>(proxy.lhs(), proxy.rhs(), temp);</div>
<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  result += temp;</div>
<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <span class="keywordflow">return</span> result;</div>
<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  }</div>
<div class="line"><a name="l00399"></a><span class="lineno"> 399</span> </div>
<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="keyword">template</span><<span class="keyword">typename</span> SCALARTYPE, <span class="keyword">typename</span> SparseMatrixType></div>
<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="keyword">typename</span> <a class="code" href="structviennacl_1_1enable__if.html">viennacl::enable_if< viennacl::is_any_sparse_matrix<SparseMatrixType>::value</a>,</div>
<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<SCALARTYPE></a> >::type</div>
<div class="line"><a name="l00408"></a><span class="lineno"><a class="line" href="namespaceviennacl.html#a5309df539f189a889f45f5e25098930f"> 408</a></span>  <a class="code" href="namespaceviennacl.html#aeb3693cfc246adc889875c208ca23aff">operator-</a>(<a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<SCALARTYPE></a> & result,</div>
<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <span class="keyword">const</span> <a class="code" href="classviennacl_1_1vector__expression.html">viennacl::vector_expression</a>< <span class="keyword">const</span> SparseMatrixType, <span class="keyword">const</span> <a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<SCALARTYPE></a>, <a class="code" href="structviennacl_1_1op__prod.html">viennacl::op_prod</a>> & proxy)</div>
<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  {</div>
<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  assert(proxy.lhs().size1() == result.<a class="code" href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">size</a>() && bool(<span class="stringliteral">"Dimensions for addition of sparse matrix-vector product to vector don't match!"</span>));</div>
<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <a class="code" href="classviennacl_1_1vector.html">vector<SCALARTYPE></a> temp(proxy.lhs().size1());</div>
<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#aafc6db8d806f67c24f93eaaded84b853">viennacl::linalg::prod_impl</a>(proxy.lhs(), proxy.rhs(), temp);</div>
<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  result += temp;</div>
<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="keywordflow">return</span> result;</div>
<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  }</div>
<div class="line"><a name="l00417"></a><span class="lineno"> 417</span> </div>
<div class="line"><a name="l00418"></a><span class="lineno"> 418</span> } <span class="comment">//namespace viennacl</span></div>
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span> </div>
<div class="line"><a name="l00420"></a><span class="lineno"> 420</span> </div>
<div class="line"><a name="l00421"></a><span class="lineno"> 421</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_1enable__if_html"><div class="ttname"><a href="structviennacl_1_1enable__if.html">viennacl::enable_if</a></div><div class="ttdoc">Simple enable-if variant that uses the SFINAE pattern. </div><div class="ttdef"><b>Definition:</b> <a href="enable__if_8hpp_source.html#l00030">enable_if.hpp:30</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_acb0b34e3ac22c72081eceaabeab80f22"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#acb0b34e3ac22c72081eceaabeab80f22">viennacl::linalg::cuda::inplace_solve</a></div><div class="ttdeci">void inplace_solve(matrix_base< NumericT > const &A, matrix_base< NumericT > &B, SolverTagT tag)</div><div class="ttdoc">Direct inplace solver for triangular systems with multiple right hand sides, i.e. A \ B (MATLAB notat...</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2direct__solve_8hpp_source.html#l00253">direct_solve.hpp:253</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_adf06f61be9418e5817eed66004f9dd2b"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#adf06f61be9418e5817eed66004f9dd2b">viennacl::linalg::inplace_solve</a></div><div class="ttdeci">void inplace_solve(const matrix_base< NumericT > &A, matrix_base< NumericT > &B, SolverTagT)</div><div class="ttdoc">Direct inplace solver for triangular systems with multiple right hand sides, i.e. A \ B (MATLAB notat...</div><div class="ttdef"><b>Definition:</b> <a href="direct__solve_8hpp_source.html#l00217">direct_solve.hpp:217</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a2ee5dd77d41040e0a937a60346475b84"><div class="ttname"><a href="namespaceviennacl.html#a2ee5dd77d41040e0a937a60346475b84">viennacl::trans</a></div><div class="ttdeci">viennacl::enable_if< viennacl::is_any_sparse_matrix< M1 >::value, matrix_expression< const M1, const M1, op_trans > >::type trans(const M1 &mat)</div><div class="ttdoc">Returns an expression template class representing a transposed matrix. </div><div class="ttdef"><b>Definition:</b> <a href="sparse__matrix__operations_8hpp_source.html#l00376">sparse_matrix_operations.hpp:376</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1detail_html_adc2e9ed3e4d9fb0258840837aaa722ac"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1detail.html#adc2e9ed3e4d9fb0258840837aaa722ac">viennacl::linalg::detail::row_info_types</a></div><div class="ttdeci">row_info_types</div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00837">forwards.h:837</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_a18a93d38ca1eff472149093974edb5cb"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#a18a93d38ca1eff472149093974edb5cb">viennacl::linalg::opencl::prod_impl</a></div><div class="ttdeci">void prod_impl(const matrix_base< NumericT > &mat, bool trans_A, const vector_base< NumericT > &vec, vector_base< NumericT > &result)</div><div class="ttdoc">Carries out matrix-vector multiplication. </div><div class="ttdef"><b>Definition:</b> <a href="opencl_2matrix__operations_8hpp_source.html#l00620">matrix_operations.hpp:620</a></div></div>
<div class="ttc" id="classviennacl_1_1memory__exception_html"><div class="ttname"><a href="classviennacl_1_1memory__exception.html">viennacl::memory_exception</a></div><div class="ttdoc">Exception class in case of memory errors. </div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00572">forwards.h:572</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="matrix_8hpp_html"><div class="ttname"><a href="matrix_8hpp.html">matrix.hpp</a></div><div class="ttdoc">Implementation of the dense matrix class. </div></div>
<div class="ttc" id="tools_8hpp_html"><div class="ttname"><a href="tools_8hpp.html">tools.hpp</a></div><div class="ttdoc">Various little tools used here and there in ViennaCL. </div></div>
<div class="ttc" id="host__based_2sparse__matrix__operations_8hpp_html"><div class="ttname"><a href="host__based_2sparse__matrix__operations_8hpp.html">sparse_matrix_operations.hpp</a></div><div class="ttdoc">Implementations of operations using sparse matrices on the CPU using a single thread or OpenMP...</div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_html_af83ff307c97a945a568c30253c1a7c61"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based.html#af83ff307c97a945a568c30253c1a7c61">viennacl::linalg::host_based::inplace_solve</a></div><div class="ttdeci">void inplace_solve(matrix_base< NumericT > const &A, matrix_base< NumericT > &B, SolverTagT)</div><div class="ttdoc">Direct inplace solver for triangular systems with multiple right hand sides, i.e. A \ B (MATLAB notat...</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2direct__solve_8hpp_source.html#l00130">direct_solve.hpp:130</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1"><div class="ttname"><a href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a></div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00349">forwards.h:349</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</a></div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00103">matrix_def.hpp:103</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__expression_html"><div class="ttname"><a href="classviennacl_1_1matrix__expression.html">viennacl::matrix_expression</a></div><div class="ttdoc">Expression template class for representing a tree of expressions which ultimately result in a matrix...</div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00341">forwards.h:341</a></div></div>
<div class="ttc" id="forwards_8h_html"><div class="ttname"><a href="forwards_8h.html">forwards.h</a></div><div class="ttdoc">This file provides the forward declarations for the main types used within ViennaCL. </div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_1_1detail_html_a45615bf3f3314b66269070ae06bc3386"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda_1_1detail.html#a45615bf3f3314b66269070ae06bc3386">viennacl::linalg::cuda::detail::row_info</a></div><div class="ttdeci">void row_info(compressed_matrix< NumericT, AligmentV > const &mat, vector_base< NumericT > &vec, viennacl::linalg::detail::row_info_types info_selector)</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2sparse__matrix__operations_8hpp_source.html#l00107">sparse_matrix_operations.hpp:107</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_afd7583ae441f66185764ae2fed763feb"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#afd7583ae441f66185764ae2fed763feb">viennacl::linalg::cuda::prod_impl</a></div><div class="ttdeci">void prod_impl(const matrix_base< NumericT > &mat, bool mat_transpose, const vector_base< NumericT > &vec, vector_base< NumericT > &result)</div><div class="ttdoc">Carries out matrix-vector multiplication. </div><div class="ttdef"><b>Definition:</b> <a href="cuda_2matrix__operations_8hpp_source.html#l01464">matrix_operations.hpp:1464</a></div></div>
<div class="ttc" id="classviennacl_1_1vector__expression_html"><div class="ttname"><a href="classviennacl_1_1vector__expression.html">viennacl::vector_expression</a></div><div class="ttdoc">An expression template class that represents a binary operation that yields a vector. </div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00239">forwards.h:239</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__expression_html_a3125cc5f209063de6a99dc67e19d42bb"><div class="ttname"><a href="classviennacl_1_1matrix__expression.html#a3125cc5f209063de6a99dc67e19d42bb">viennacl::matrix_expression::size1</a></div><div class="ttdeci">vcl_size_t size1() const </div><div class="ttdoc">Returns the size of the result vector. </div><div class="ttdef"><b>Definition:</b> <a href="matrix_8hpp_source.html#l00072">matrix.hpp:72</a></div></div>
<div class="ttc" id="namespaceviennacl_html_aeb3693cfc246adc889875c208ca23aff"><div class="ttname"><a href="namespaceviennacl.html#aeb3693cfc246adc889875c208ca23aff">viennacl::operator-</a></div><div class="ttdeci">viennacl::vector< NumericT > operator-(const vector_base< NumericT > &v1, const vector_expression< const matrix_base< NumericT >, const vector_base< NumericT >, op_prod > &proxy)</div><div class="ttdoc">Implementation of the operation 'result = v1 - A * v2', where A is a matrix. </div><div class="ttdef"><b>Definition:</b> <a href="matrix__operations_8hpp_source.html#l01200">matrix_operations.hpp:1200</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f"><div class="ttname"><a href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a></div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00347">forwards.h:347</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2"><div class="ttname"><a href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a></div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00350">forwards.h:350</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_html_a73ab507a304067a153e0ad741ed6a40d"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based.html#a73ab507a304067a153e0ad741ed6a40d">viennacl::linalg::host_based::prod_impl</a></div><div class="ttdeci">void prod_impl(const matrix_base< NumericT > &mat, bool trans, const vector_base< NumericT > &vec, vector_base< NumericT > &result)</div><div class="ttdoc">Carries out matrix-vector multiplication. </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2matrix__operations_8hpp_source.html#l00993">matrix_operations.hpp:993</a></div></div>
<div class="ttc" id="cuda_2sparse__matrix__operations_8hpp_html"><div class="ttname"><a href="cuda_2sparse__matrix__operations_8hpp.html">sparse_matrix_operations.hpp</a></div><div class="ttdoc">Implementations of operations using sparse matrices using CUDA. </div></div>
<div class="ttc" id="classviennacl_1_1matrix__expression_html_ad8516f3a2ef4db4d5379fb64832fd39f"><div class="ttname"><a href="classviennacl_1_1matrix__expression.html#ad8516f3a2ef4db4d5379fb64832fd39f">viennacl::matrix_expression::size2</a></div><div class="ttdeci">vcl_size_t size2() const </div><div class="ttdef"><b>Definition:</b> <a href="matrix_8hpp_source.html#l00073">matrix.hpp:73</a></div></div>
<div class="ttc" id="classviennacl_1_1vector__base_html"><div class="ttname"><a href="classviennacl_1_1vector__base.html">viennacl::vector_base</a></div><div class="ttdoc">Common base class for dense vectors, vector ranges, and vector slices. </div><div class="ttdef"><b>Definition:</b> <a href="vector__def_8hpp_source.html#l00104">vector_def.hpp:104</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_1detail_html_abc856cc45c42e8809e7e867904a4a7d7"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based_1_1detail.html#abc856cc45c42e8809e7e867904a4a7d7">viennacl::linalg::host_based::detail::block_inplace_solve</a></div><div class="ttdeci">void block_inplace_solve(const matrix_expression< const compressed_matrix< NumericT, AlignmentV >, const compressed_matrix< NumericT, AlignmentV >, op_trans > &L, viennacl::backend::mem_handle const &, vcl_size_t, vector_base< NumericT > const &, vector_base< NumericT > &vec, viennacl::linalg::unit_lower_tag)</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2sparse__matrix__operations_8hpp_source.html#l00824">sparse_matrix_operations.hpp:824</a></div></div>
<div class="ttc" id="classviennacl_1_1vector_html"><div class="ttname"><a href="classviennacl_1_1vector.html">viennacl::vector</a></div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00266">forwards.h:266</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_1_1detail_html_ac588666828831dc470e4ed55da6d9a10"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda_1_1detail.html#ac588666828831dc470e4ed55da6d9a10">viennacl::linalg::cuda::detail::block_inplace_solve</a></div><div class="ttdeci">void block_inplace_solve(const matrix_expression< const compressed_matrix< NumericT, AlignmentV >, const compressed_matrix< NumericT, AlignmentV >, op_trans > &L, viennacl::backend::mem_handle const &block_indices, vcl_size_t num_blocks, vector_base< NumericT > const &, vector_base< NumericT > &vec, viennacl::linalg::unit_lower_tag)</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2sparse__matrix__operations_8hpp_source.html#l00970">sparse_matrix_operations.hpp:970</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__base_html_a24e4f5fa27a1af5ad47e52a97c065d68"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#a24e4f5fa27a1af5ad47e52a97c065d68">viennacl::matrix_base::size1</a></div><div class="ttdeci">size_type size1() const </div><div class="ttdoc">Returns the number of rows. </div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00224">matrix_def.hpp:224</a></div></div>
<div class="ttc" id="opencl_2sparse__matrix__operations_8hpp_html"><div class="ttname"><a href="opencl_2sparse__matrix__operations_8hpp.html">sparse_matrix_operations.hpp</a></div><div class="ttdoc">Implementations of operations using sparse matrices and OpenCL. </div></div>
<div class="ttc" id="namespaceviennacl_html_a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4"><div class="ttname"><a href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a></div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00348">forwards.h:348</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_ac90a3dca0595b15ae04662bddb6cf57c"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#ac90a3dca0595b15ae04662bddb6cf57c">viennacl::linalg::opencl::inplace_solve</a></div><div class="ttdeci">void inplace_solve(matrix_base< NumericT > const &A, matrix_base< NumericT > &B, SolverTagT)</div><div class="ttdoc">Direct inplace solver for dense triangular systems. Matlab notation: A \ B. </div><div class="ttdef"><b>Definition:</b> <a href="opencl_2direct__solve_8hpp_source.html#l00077">direct_solve.hpp:77</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a4d3a8290e94b15b653b3a0f0a3f80496"><div class="ttname"><a href="namespaceviennacl.html#a4d3a8290e94b15b653b3a0f0a3f80496">viennacl::operator+</a></div><div class="ttdeci">viennacl::vector< NumericT > operator+(const vector_base< NumericT > &v1, const vector_expression< const matrix_base< NumericT >, const vector_base< NumericT >, op_prod > &proxy)</div><div class="ttdoc">Implementation of the operation 'result = v1 + A * v2', where A is a matrix. </div><div class="ttdef"><b>Definition:</b> <a href="matrix__operations_8hpp_source.html#l01182">matrix_operations.hpp:1182</a></div></div>
<div class="ttc" id="structviennacl_1_1op__prod_html"><div class="ttname"><a href="structviennacl_1_1op__prod.html">viennacl::op_prod</a></div><div class="ttdoc">A tag class representing matrix-vector products and element-wise multiplications. ...</div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00094">forwards.h:94</a></div></div>
<div class="ttc" id="vector_8hpp_html"><div class="ttname"><a href="vector_8hpp.html">vector.hpp</a></div><div class="ttdoc">The vector type with operator-overloads and proxy classes is defined here. Linear algebra operations ...</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="fft__1d_8cpp_html_ad5c19ca4f47d3f8ec21232a5af2624e5"><div class="ttname"><a href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a></div><div class="ttdeci">float ScalarType</div><div class="ttdef"><b>Definition:</b> <a href="fft__1d_8cpp_source.html#l00042">fft_1d.cpp:42</a></div></div>
<div class="ttc" id="classviennacl_1_1backend_1_1mem__handle_html"><div class="ttname"><a href="classviennacl_1_1backend_1_1mem__handle.html">viennacl::backend::mem_handle</a></div><div class="ttdoc">Main abstraction class for multiple memory domains. Represents a buffer in either main RAM...</div><div class="ttdef"><b>Definition:</b> <a href="mem__handle_8hpp_source.html#l00089">mem_handle.hpp:89</a></div></div>
<div class="ttc" id="structviennacl_1_1op__trans_html"><div class="ttname"><a href="structviennacl_1_1op__trans.html">viennacl::op_trans</a></div><div class="ttdoc">A tag class representing transposed matrices. </div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00220">forwards.h:220</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_1_1detail_html_a58dfcdc80252eb2bc06c50a1ef533fc9"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based_1_1detail.html#a58dfcdc80252eb2bc06c50a1ef533fc9">viennacl::linalg::host_based::detail::row_info</a></div><div class="ttdeci">void row_info(compressed_matrix< NumericT, AlignmentV > const &mat, vector_base< NumericT > &vec, viennacl::linalg::detail::row_info_types info_selector)</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2sparse__matrix__operations_8hpp_source.html#l00053">sparse_matrix_operations.hpp:53</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="namespaceviennacl_1_1linalg_html_aafc6db8d806f67c24f93eaaded84b853"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#aafc6db8d806f67c24f93eaaded84b853">viennacl::linalg::prod_impl</a></div><div class="ttdeci">void prod_impl(const matrix_base< NumericT > &mat, const vector_base< NumericT > &vec, vector_base< NumericT > &result)</div><div class="ttdoc">Carries out matrix-vector multiplication. </div><div class="ttdef"><b>Definition:</b> <a href="matrix__operations_8hpp_source.html#l00438">matrix_operations.hpp:438</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_ae39853b7f291a697e119a139439178fb"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a></div><div class="ttdeci">viennacl::backend::mem_handle & handle(T &obj)</div><div class="ttdoc">Returns the generic memory handle of an object. Non-const version. </div><div class="ttdef"><b>Definition:</b> <a href="traits_2handle_8hpp_source.html#l00041">handle.hpp:41</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_1_1detail_html_a144fd7dc25be2029356c24f07f281edc"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl_1_1detail.html#a144fd7dc25be2029356c24f07f281edc">viennacl::linalg::opencl::detail::block_inplace_solve</a></div><div class="ttdeci">void block_inplace_solve(const matrix_expression< const compressed_matrix< NumericT, AlignmentV >, const compressed_matrix< NumericT, AlignmentV >, op_trans > &L, viennacl::backend::mem_handle const &block_indices, vcl_size_t num_blocks, vector_base< NumericT > const &, vector_base< NumericT > &x, viennacl::linalg::unit_lower_tag)</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2sparse__matrix__operations_8hpp_source.html#l00483">sparse_matrix_operations.hpp:483</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__expression_html_aa2c582e8d2c1cafbf2ffdf05c9fdfaca"><div class="ttname"><a href="classviennacl_1_1matrix__expression.html#aa2c582e8d2c1cafbf2ffdf05c9fdfaca">viennacl::matrix_expression::lhs</a></div><div class="ttdeci">LHS & lhs() const </div><div class="ttdoc">Get left hand side operand. </div><div class="ttdef"><b>Definition:</b> <a href="matrix_8hpp_source.html#l00066">matrix.hpp:66</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1detail_html_a5ef8943054b39077573f94234980bd0f"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1detail.html#a5ef8943054b39077573f94234980bd0f">viennacl::linalg::detail::row_info</a></div><div class="ttdeci">viennacl::enable_if< viennacl::is_any_sparse_matrix< SparseMatrixType >::value >::type row_info(SparseMatrixType const &mat, vector< SCALARTYPE, VEC_ALIGNMENT > &vec, row_info_types info_selector)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__matrix__operations_8hpp_source.html#l00050">sparse_matrix_operations.hpp:50</a></div></div>
<div class="ttc" id="scalar_8hpp_html"><div class="ttname"><a href="scalar_8hpp.html">scalar.hpp</a></div><div class="ttdoc">Implementation of the ViennaCL scalar class. </div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_1_1detail_html_a256a599dedd093618c9936e85a75b3d4"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl_1_1detail.html#a256a599dedd093618c9936e85a75b3d4">viennacl::linalg::opencl::detail::row_info</a></div><div class="ttdeci">void row_info(compressed_matrix< NumericT, AlignmentV > const &A, vector_base< NumericT > &x, viennacl::linalg::detail::row_info_types info_selector)</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2sparse__matrix__operations_8hpp_source.html#l00056">sparse_matrix_operations.hpp:56</a></div></div>
<div class="ttc" id="classviennacl_1_1backend_1_1mem__handle_html_a5951aceb881068a77b4af8825b547ea3"><div class="ttname"><a href="classviennacl_1_1backend_1_1mem__handle.html#a5951aceb881068a77b4af8825b547ea3">viennacl::backend::mem_handle::get_active_handle_id</a></div><div class="ttdeci">memory_types get_active_handle_id() const </div><div class="ttdoc">Returns an ID for the currently active memory buffer. Other memory buffers might contain old or no da...</div><div class="ttdef"><b>Definition:</b> <a href="mem__handle_8hpp_source.html#l00118">mem_handle.hpp:118</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1detail_html_a926494a1bd9b3c66def0c860bf564b42"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1detail.html#a926494a1bd9b3c66def0c860bf564b42">viennacl::linalg::detail::block_inplace_solve</a></div><div class="ttdeci">viennacl::enable_if< viennacl::is_any_sparse_matrix< SparseMatrixType >::value >::type block_inplace_solve(const matrix_expression< const SparseMatrixType, const SparseMatrixType, op_trans > &mat, viennacl::backend::mem_handle const &block_index_array, vcl_size_t num_blocks, viennacl::vector_base< ScalarType > const &mat_diagonal, viennacl::vector_base< ScalarType > &vec, SOLVERTAG tag)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__matrix__operations_8hpp_source.html#l00332">sparse_matrix_operations.hpp:332</a></div></div>
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