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<div class="title">nmf_operations.hpp</div> </div>
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<a href="host__based_2nmf__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_NMF_OPERATIONS_HPP_</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="preprocessor">#define VIENNACL_LINALG_HOST_BASED_NMF_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="vector_8hpp.html">viennacl/vector.hpp</a>"</span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include "<a class="code" href="matrix_8hpp.html">viennacl/matrix.hpp</a>"</span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="prod_8hpp.html">viennacl/linalg/prod.hpp</a>"</span></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="norm__2_8hpp.html">viennacl/linalg/norm_2.hpp</a>"</span></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="norm__frobenius_8hpp.html">viennacl/linalg/norm_frobenius.hpp</a>"</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="linalg_2host__based_2common_8hpp.html">viennacl/linalg/host_based/common.hpp</a>"</span></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="keyword">namespace </span>viennacl</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> {</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="keyword">namespace </span>linalg</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> {</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> </div>
<div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="classviennacl_1_1linalg_1_1nmf__config.html"> 39</a></span> <span class="keyword">class </span><a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html">nmf_config</a></div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span> {</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keyword">public</span>:</div>
<div class="line"><a name="l00042"></a><span class="lineno"><a class="line" href="classviennacl_1_1linalg_1_1nmf__config.html#abd93762ba5ef8bcff896d8455a980dea"> 42</a></span>  <a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#abd93762ba5ef8bcff896d8455a980dea">nmf_config</a>(<span class="keywordtype">double</span> val_epsilon = 1e-4, <span class="keywordtype">double</span> val_epsilon_stagnation = 1e-5,</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> num_max_iters = 10000, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> num_check_iters = 100) :</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  eps_(val_epsilon), stagnation_eps_(val_epsilon_stagnation), max_iters_(num_max_iters), check_after_steps_(</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  (num_check_iters > 0) ? num_check_iters : 1), print_relative_error_(false), <a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#a031a7591b5f6de300749037b39ad5db7">iters_</a>(0)</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> </div>
<div class="line"><a name="l00050"></a><span class="lineno"><a class="line" href="classviennacl_1_1linalg_1_1nmf__config.html#a36fe78d7d2e80e41e4e7546f01511840"> 50</a></span>  <span class="keywordtype">double</span> <a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#a36fe78d7d2e80e41e4e7546f01511840">tolerance</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">return</span> eps_;</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> </div>
<div class="line"><a name="l00056"></a><span class="lineno"><a class="line" href="classviennacl_1_1linalg_1_1nmf__config.html#ae0afaec61b786cff9ec7a92bf1d3b437"> 56</a></span>  <span class="keywordtype">void</span> <a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#ae0afaec61b786cff9ec7a92bf1d3b437">tolerance</a>(<span class="keywordtype">double</span> e)</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  {</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  eps_ = e;</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  }</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div>
<div class="line"><a name="l00062"></a><span class="lineno"><a class="line" href="classviennacl_1_1linalg_1_1nmf__config.html#a992720e64934be9f6e0e940ee5bbdfca"> 62</a></span>  <span class="keywordtype">double</span> <a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#a992720e64934be9f6e0e940ee5bbdfca">stagnation_tolerance</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordflow">return</span> stagnation_eps_;</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  }</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div>
<div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="classviennacl_1_1linalg_1_1nmf__config.html#af13bdd7b8374d0968e87511ad840d918"> 68</a></span>  <span class="keywordtype">void</span> <a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#af13bdd7b8374d0968e87511ad840d918">stagnation_tolerance</a>(<span class="keywordtype">double</span> e)</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  {</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  stagnation_eps_ = e;</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> </div>
<div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="classviennacl_1_1linalg_1_1nmf__config.html#a494899ccb2fed620eb7fb69da5fc46c0"> 74</a></span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#a494899ccb2fed620eb7fb69da5fc46c0">max_iterations</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">return</span> max_iters_;</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  }</div>
<div class="line"><a name="l00079"></a><span class="lineno"><a class="line" href="classviennacl_1_1linalg_1_1nmf__config.html#a9fcce38eac47da2bdb7c597855322627"> 79</a></span>  <span class="keywordtype">void</span> <a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#a9fcce38eac47da2bdb7c597855322627">max_iterations</a>(<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> m)</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>  max_iters_ = m;</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  }</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span> </div>
<div class="line"><a name="l00085"></a><span class="lineno"><a class="line" href="classviennacl_1_1linalg_1_1nmf__config.html#a78285495f87a9f6aade57de8c73b6c31"> 85</a></span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#a78285495f87a9f6aade57de8c73b6c31">iters</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordflow">return</span> <a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#a031a7591b5f6de300749037b39ad5db7">iters_</a>;</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  }</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span> </div>
<div class="line"><a name="l00091"></a><span class="lineno"><a class="line" href="classviennacl_1_1linalg_1_1nmf__config.html#a875e5f082abe21568f75b36cc7b590b2"> 91</a></span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#a875e5f082abe21568f75b36cc7b590b2">check_after_steps</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordflow">return</span> check_after_steps_;</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  }</div>
<div class="line"><a name="l00096"></a><span class="lineno"><a class="line" href="classviennacl_1_1linalg_1_1nmf__config.html#a684af5e5f29515dc10e6bf53f598ab19"> 96</a></span>  <span class="keywordtype">void</span> <a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#a684af5e5f29515dc10e6bf53f598ab19">check_after_steps</a>(<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> c)</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>  <span class="keywordflow">if</span> (c > 0)</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  check_after_steps_ = c;</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> </div>
<div class="line"><a name="l00103"></a><span class="lineno"><a class="line" href="classviennacl_1_1linalg_1_1nmf__config.html#ab948223929be79e20a1050146210ec6d"> 103</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#ab948223929be79e20a1050146210ec6d">print_relative_error</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordflow">return</span> print_relative_error_;</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  }</div>
<div class="line"><a name="l00108"></a><span class="lineno"><a class="line" href="classviennacl_1_1linalg_1_1nmf__config.html#ab11824e81b89c6703a6a5591cad1ddef"> 108</a></span>  <span class="keywordtype">void</span> <a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#ab11824e81b89c6703a6a5591cad1ddef">print_relative_error</a>(<span class="keywordtype">bool</span> b)</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  {</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  print_relative_error_ = b;</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  }</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keyword">template</span><<span class="keyword">typename</span> ScalarType></div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keyword">friend</span> <span class="keywordtype">void</span> <a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#abdd2952e2501292d39f410a799307122">nmf</a>(<a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<ScalarType></a> <span class="keyword">const</span> & V,</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<ScalarType></a> & W, <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<ScalarType></a> & H,</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html">nmf_config</a> <span class="keyword">const</span> & conf);</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span> </div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="keyword">private</span>:</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordtype">double</span> eps_;</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keywordtype">double</span> stagnation_eps_;</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> max_iters_;</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> check_after_steps_;</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordtype">bool</span> print_relative_error_;</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span> <span class="keyword">public</span>:</div>
<div class="line"><a name="l00125"></a><span class="lineno"><a class="line" href="classviennacl_1_1linalg_1_1nmf__config.html#a031a7591b5f6de300749037b39ad5db7"> 125</a></span>  <span class="keyword">mutable</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#a031a7591b5f6de300749037b39ad5db7">iters_</a>;</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> </div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span> <span class="keyword">namespace </span>host_based</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span> {</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00132"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1host__based.html#a8779eecfca7b905caa278b3773556936"> 132</a></span>  <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#a8779eecfca7b905caa278b3773556936">el_wise_mul_div</a>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> * matrix1,</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <span class="keyword">const</span> * matrix2,</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <span class="keyword">const</span> * matrix3, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>)</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  {</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENMP</span></div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span> <span class="preprocessor">#pragma omp parallel for</span></div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">for</span> (<span class="keywordtype">long</span> i2 = 0; i2 < long(size); i2++)</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  {</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</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="l00142"></a><span class="lineno"> 142</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> val = matrix1[i] * matrix2[i];</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> divisor = matrix3[i];</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  matrix1[i] = (divisor > (<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>) 0.00001) ? (val / divisor) : (<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>) 0;</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  }</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="l00155"></a><span class="lineno"> 155</span>  <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00156"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1host__based.html#a9a0cc2bd0a2087f354a9b9d0b8e67c42"> 156</a></span>  <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#a9a0cc2bd0a2087f354a9b9d0b8e67c42">nmf</a>(<a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> <span class="keyword">const</span> & V,</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> & W,</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> & H,</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html">viennacl::linalg::nmf_config</a> <span class="keyword">const</span> & conf)</div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  {</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> k = W.<a class="code" href="classviennacl_1_1matrix__base.html#a4348766b3b9cb049f7acd6a795272dbe">size2</a>();</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  conf.<a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#a031a7591b5f6de300749037b39ad5db7">iters_</a> = 0;</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="keywordflow">if</span> (<a class="code" href="namespaceviennacl_1_1linalg.html#a67813d48ed274df9fc19e6aad99fc761">viennacl::linalg::norm_frobenius</a>(W) <= 0)</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  W = <a class="code" href="classviennacl_1_1scalar__matrix.html">viennacl::scalar_matrix<NumericT></a>(W.<a class="code" href="classviennacl_1_1matrix__base.html#a24e4f5fa27a1af5ad47e52a97c065d68">size1</a>(), W.<a class="code" href="classviennacl_1_1matrix__base.html#a4348766b3b9cb049f7acd6a795272dbe">size2</a>(), <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>(1.0));</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span> </div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keywordflow">if</span> (<a class="code" href="namespaceviennacl_1_1linalg.html#a67813d48ed274df9fc19e6aad99fc761">viennacl::linalg::norm_frobenius</a>(H) <= 0)</div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  H = <a class="code" href="classviennacl_1_1scalar__matrix.html">viennacl::scalar_matrix<NumericT></a>(H.<a class="code" href="classviennacl_1_1matrix__base.html#a24e4f5fa27a1af5ad47e52a97c065d68">size1</a>(), H.<a class="code" href="classviennacl_1_1matrix__base.html#a4348766b3b9cb049f7acd6a795272dbe">size2</a>(), <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>(1.0));</div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> wn(V.<a class="code" href="classviennacl_1_1matrix__base.html#a24e4f5fa27a1af5ad47e52a97c065d68">size1</a>(), k, W.<a class="code" href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">row_major</a>());</div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> wd(V.<a class="code" href="classviennacl_1_1matrix__base.html#a24e4f5fa27a1af5ad47e52a97c065d68">size1</a>(), k, W.<a class="code" href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">row_major</a>());</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> wtmp(V.<a class="code" href="classviennacl_1_1matrix__base.html#a24e4f5fa27a1af5ad47e52a97c065d68">size1</a>(), V.<a class="code" href="classviennacl_1_1matrix__base.html#a4348766b3b9cb049f7acd6a795272dbe">size2</a>(), W.<a class="code" href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">row_major</a>());</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span> </div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> hn(k, V.<a class="code" href="classviennacl_1_1matrix__base.html#a4348766b3b9cb049f7acd6a795272dbe">size2</a>(), H.<a class="code" href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">row_major</a>());</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> hd(k, V.<a class="code" href="classviennacl_1_1matrix__base.html#a4348766b3b9cb049f7acd6a795272dbe">size2</a>(), H.<a class="code" href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">row_major</a>());</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> htmp(k, k, H.<a class="code" href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">row_major</a>());</div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span> </div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> appr(V.<a class="code" href="classviennacl_1_1matrix__base.html#a24e4f5fa27a1af5ad47e52a97c065d68">size1</a>(), V.<a class="code" href="classviennacl_1_1matrix__base.html#a4348766b3b9cb049f7acd6a795272dbe">size2</a>(), V.<a class="code" href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">row_major</a>());</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>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> last_diff = 0;</div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> diff_init = 0;</div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keywordtype">bool</span> stagnation_flag = <span class="keyword">false</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">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i = 0; i < conf.<a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#a494899ccb2fed620eb7fb69da5fc46c0">max_iterations</a>(); i++)</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>  conf.<a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#a031a7591b5f6de300749037b39ad5db7">iters_</a> = i + 1;</div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span> </div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  hn = <a class="code" href="namespaceviennacl_1_1linalg.html#aa18d10f8a90e38bd9ff43c650fc670ef">viennacl::linalg::prod</a>(<a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#ae263e29643746ebdbe6a053d44522c76">trans</a>(W), V);</div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  htmp = <a class="code" href="namespaceviennacl_1_1linalg.html#aa18d10f8a90e38bd9ff43c650fc670ef">viennacl::linalg::prod</a>(<a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#ae263e29643746ebdbe6a053d44522c76">trans</a>(W), W);</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  hd = <a class="code" href="namespaceviennacl_1_1linalg.html#aa18d10f8a90e38bd9ff43c650fc670ef">viennacl::linalg::prod</a>(htmp, H);</div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span> </div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> * data_H = detail::extract_raw_pointer<NumericT>(H);</div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> * data_hn = detail::extract_raw_pointer<NumericT>(hn);</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> * data_hd = detail::extract_raw_pointer<NumericT>(hd);</div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span> </div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#a8779eecfca7b905caa278b3773556936">viennacl::linalg::host_based::el_wise_mul_div</a>(data_H, data_hn, data_hd, H.<a class="code" href="classviennacl_1_1matrix__base.html#a82018b4e169973bdfb9d3be68ceb5be0">internal_size1</a>() * H.<a class="code" href="classviennacl_1_1matrix__base.html#a00e30fdc61081a73995b54175a91d220">internal_size2</a>());</div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span> </div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  wn = <a class="code" href="namespaceviennacl_1_1linalg.html#aa18d10f8a90e38bd9ff43c650fc670ef">viennacl::linalg::prod</a>(V, <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#ae263e29643746ebdbe6a053d44522c76">trans</a>(H));</div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  wtmp = <a class="code" href="namespaceviennacl_1_1linalg.html#aa18d10f8a90e38bd9ff43c650fc670ef">viennacl::linalg::prod</a>(W, H);</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  wd = <a class="code" href="namespaceviennacl_1_1linalg.html#aa18d10f8a90e38bd9ff43c650fc670ef">viennacl::linalg::prod</a>(wtmp, <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#ae263e29643746ebdbe6a053d44522c76">trans</a>(H));</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>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> * data_W = detail::extract_raw_pointer<NumericT>(W);</div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> * data_wn = detail::extract_raw_pointer<NumericT>(wn);</div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> * data_wd = detail::extract_raw_pointer<NumericT>(wd);</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>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#a8779eecfca7b905caa278b3773556936">viennacl::linalg::host_based::el_wise_mul_div</a>(data_W, data_wn, data_wd, W.<a class="code" href="classviennacl_1_1matrix__base.html#a82018b4e169973bdfb9d3be68ceb5be0">internal_size1</a>() * W.<a class="code" href="classviennacl_1_1matrix__base.html#a00e30fdc61081a73995b54175a91d220">internal_size2</a>());</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span> </div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="keywordflow">if</span> (i % conf.<a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#a875e5f082abe21568f75b36cc7b590b2">check_after_steps</a>() == 0) <span class="comment">//check for convergence</span></div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  {</div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  appr = <a class="code" href="namespaceviennacl_1_1linalg.html#aa18d10f8a90e38bd9ff43c650fc670ef">viennacl::linalg::prod</a>(W, H);</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>  appr -= V;</div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> diff_val = <a class="code" href="namespaceviennacl_1_1linalg.html#a67813d48ed274df9fc19e6aad99fc761">viennacl::linalg::norm_frobenius</a>(appr);</div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span> </div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keywordflow">if</span> (i == 0)</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  diff_init = diff_val;</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>  <span class="keywordflow">if</span> (conf.<a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#ab948223929be79e20a1050146210ec6d">print_relative_error</a>())</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  std::cout << diff_val / diff_init << std::endl;</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>  <span class="comment">// Approximation check</span></div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keywordflow">if</span> (diff_val / diff_init < conf.<a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#a36fe78d7d2e80e41e4e7546f01511840">tolerance</a>())</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span> </div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="comment">// Stagnation check</span></div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keywordflow">if</span> (std::fabs(diff_val - last_diff) / (diff_val * <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>(conf.<a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#a875e5f082abe21568f75b36cc7b590b2">check_after_steps</a>())) < conf.<a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#a992720e64934be9f6e0e940ee5bbdfca">stagnation_tolerance</a>()) <span class="comment">//avoid situations where convergence stagnates</span></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="keywordflow">if</span> (stagnation_flag) <span class="comment">// iteration stagnates (two iterates with no notable progress)</span></div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="comment">// record stagnation in this iteration</span></div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  stagnation_flag = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  } <span class="keywordflow">else</span></div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="comment">// good progress in this iteration, so unset stagnation flag</span></div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  stagnation_flag = <span class="keyword">false</span>;</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="comment">// prepare for next iterate:</span></div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  last_diff = diff_val;</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>  }</div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  }</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">//namespace host_based</span></div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span> } <span class="comment">//namespace linalg</span></div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span> } <span class="comment">//namespace viennacl</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> <span class="preprocessor">#endif </span><span class="comment">/* VIENNACL_LINALG_HOST_BASED_NMF_OPERATIONS_HPP_ */</span><span class="preprocessor"></span></div>
<div class="ttc" id="norm__2_8hpp_html"><div class="ttname"><a href="norm__2_8hpp.html">norm_2.hpp</a></div><div class="ttdoc">Generic interface for the l^2-norm. See viennacl/linalg/vector_operations.hpp for implementations...</div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1nmf__config_html_abdd2952e2501292d39f410a799307122"><div class="ttname"><a href="classviennacl_1_1linalg_1_1nmf__config.html#abdd2952e2501292d39f410a799307122">viennacl::linalg::nmf_config::nmf</a></div><div class="ttdeci">friend void nmf(viennacl::matrix_base< ScalarType > const &V, viennacl::matrix_base< ScalarType > &W, viennacl::matrix_base< ScalarType > &H, nmf_config const &conf)</div><div class="ttdoc">The nonnegative matrix factorization (approximation) algorithm as suggested by Lee and Seung...</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2nmf__operations_8hpp_source.html#l00059">nmf_operations.hpp:59</a></div></div>
<div class="ttc" id="prod_8hpp_html"><div class="ttname"><a href="prod_8hpp.html">prod.hpp</a></div><div class="ttdoc">Generic interface for matrix-vector and matrix-matrix products. See viennacl/linalg/vector_operations...</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="classviennacl_1_1linalg_1_1nmf__config_html_a875e5f082abe21568f75b36cc7b590b2"><div class="ttname"><a href="classviennacl_1_1linalg_1_1nmf__config.html#a875e5f082abe21568f75b36cc7b590b2">viennacl::linalg::nmf_config::check_after_steps</a></div><div class="ttdeci">vcl_size_t check_after_steps() const </div><div class="ttdoc">Number of steps after which the convergence of NMF should be checked (again) </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2nmf__operations_8hpp_source.html#l00091">nmf_operations.hpp:91</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_1linalg_1_1nmf__config_html"><div class="ttname"><a href="classviennacl_1_1linalg_1_1nmf__config.html">viennacl::linalg::nmf_config</a></div><div class="ttdoc">Configuration class for the nonnegative-matrix-factorization algorithm. Specify tolerances, maximum iteration counts, etc., here. </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2nmf__operations_8hpp_source.html#l00039">nmf_operations.hpp:39</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_html_a9a0cc2bd0a2087f354a9b9d0b8e67c42"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based.html#a9a0cc2bd0a2087f354a9b9d0b8e67c42">viennacl::linalg::host_based::nmf</a></div><div class="ttdeci">void nmf(viennacl::matrix_base< NumericT > const &V, viennacl::matrix_base< NumericT > &W, viennacl::matrix_base< NumericT > &H, viennacl::linalg::nmf_config const &conf)</div><div class="ttdoc">The nonnegative matrix factorization (approximation) algorithm as suggested by Lee and Seung...</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2nmf__operations_8hpp_source.html#l00156">nmf_operations.hpp:156</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="classviennacl_1_1linalg_1_1nmf__config_html_a031a7591b5f6de300749037b39ad5db7"><div class="ttname"><a href="classviennacl_1_1linalg_1_1nmf__config.html#a031a7591b5f6de300749037b39ad5db7">viennacl::linalg::nmf_config::iters_</a></div><div class="ttdeci">vcl_size_t iters_</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2nmf__operations_8hpp_source.html#l00125">nmf_operations.hpp:125</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="namespaceviennacl_1_1traits_html_aa2344ea20469f55fbc15a8e9526494d0"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">viennacl::traits::size</a></div><div class="ttdeci">vcl_size_t size(VectorType const &vec)</div><div class="ttdoc">Generic routine for obtaining the size of a vector (ViennaCL, uBLAS, etc.) </div><div class="ttdef"><b>Definition:</b> <a href="size_8hpp_source.html#l00239">size.hpp:239</a></div></div>
<div class="ttc" id="norm__frobenius_8hpp_html"><div class="ttname"><a href="norm__frobenius_8hpp.html">norm_frobenius.hpp</a></div><div class="ttdoc">Generic interface for the Frobenius norm. </div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1nmf__config_html_a494899ccb2fed620eb7fb69da5fc46c0"><div class="ttname"><a href="classviennacl_1_1linalg_1_1nmf__config.html#a494899ccb2fed620eb7fb69da5fc46c0">viennacl::linalg::nmf_config::max_iterations</a></div><div class="ttdeci">vcl_size_t max_iterations() const </div><div class="ttdoc">Returns the maximum number of iterations for the NMF algorithm. </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2nmf__operations_8hpp_source.html#l00074">nmf_operations.hpp:74</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1nmf__config_html_a684af5e5f29515dc10e6bf53f598ab19"><div class="ttname"><a href="classviennacl_1_1linalg_1_1nmf__config.html#a684af5e5f29515dc10e6bf53f598ab19">viennacl::linalg::nmf_config::check_after_steps</a></div><div class="ttdeci">void check_after_steps(vcl_size_t c)</div><div class="ttdoc">Set the number of steps after which the convergence of NMF should be checked (again) ...</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2nmf__operations_8hpp_source.html#l00096">nmf_operations.hpp:96</a></div></div>
<div class="ttc" id="classviennacl_1_1scalar__matrix_html"><div class="ttname"><a href="classviennacl_1_1scalar__matrix.html">viennacl::scalar_matrix</a></div><div class="ttdoc">Represents a vector consisting of scalars 's' only, i.e. v[i] = s for all i. To be used as an initial...</div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00093">matrix_def.hpp:93</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1nmf__config_html_a36fe78d7d2e80e41e4e7546f01511840"><div class="ttname"><a href="classviennacl_1_1linalg_1_1nmf__config.html#a36fe78d7d2e80e41e4e7546f01511840">viennacl::linalg::nmf_config::tolerance</a></div><div class="ttdeci">double tolerance() const </div><div class="ttdoc">Returns the relative tolerance for convergence. </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2nmf__operations_8hpp_source.html#l00050">nmf_operations.hpp:50</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1nmf__config_html_ab11824e81b89c6703a6a5591cad1ddef"><div class="ttname"><a href="classviennacl_1_1linalg_1_1nmf__config.html#ab11824e81b89c6703a6a5591cad1ddef">viennacl::linalg::nmf_config::print_relative_error</a></div><div class="ttdeci">void print_relative_error(bool b)</div><div class="ttdoc">Specify whether the relative error should be printed at each convergence check after 'num_check_iters...</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2nmf__operations_8hpp_source.html#l00108">nmf_operations.hpp:108</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="classviennacl_1_1matrix__base_html_a4348766b3b9cb049f7acd6a795272dbe"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#a4348766b3b9cb049f7acd6a795272dbe">viennacl::matrix_base::size2</a></div><div class="ttdeci">size_type size2() const </div><div class="ttdoc">Returns the number of columns. </div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00226">matrix_def.hpp:226</a></div></div>
<div class="ttc" id="linalg_2host__based_2common_8hpp_html"><div class="ttname"><a href="linalg_2host__based_2common_8hpp.html">common.hpp</a></div><div class="ttdoc">Common routines for single-threaded or OpenMP-enabled execution on CPU. </div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1nmf__config_html_ae0afaec61b786cff9ec7a92bf1d3b437"><div class="ttname"><a href="classviennacl_1_1linalg_1_1nmf__config.html#ae0afaec61b786cff9ec7a92bf1d3b437">viennacl::linalg::nmf_config::tolerance</a></div><div class="ttdeci">void tolerance(double e)</div><div class="ttdoc">Sets the relative tolerance for convergence, i.e. norm(V - W * H) / norm(V - W_init * H_init) ...</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2nmf__operations_8hpp_source.html#l00056">nmf_operations.hpp:56</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_html_a8779eecfca7b905caa278b3773556936"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based.html#a8779eecfca7b905caa278b3773556936">viennacl::linalg::host_based::el_wise_mul_div</a></div><div class="ttdeci">void el_wise_mul_div(NumericT *matrix1, NumericT const *matrix2, NumericT const *matrix3, vcl_size_t size)</div><div class="ttdoc">Missing OpenMP kernel for nonnegative matrix factorization of a dense matrices. </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2nmf__operations_8hpp_source.html#l00132">nmf_operations.hpp:132</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="classviennacl_1_1linalg_1_1nmf__config_html_a992720e64934be9f6e0e940ee5bbdfca"><div class="ttname"><a href="classviennacl_1_1linalg_1_1nmf__config.html#a992720e64934be9f6e0e940ee5bbdfca">viennacl::linalg::nmf_config::stagnation_tolerance</a></div><div class="ttdeci">double stagnation_tolerance() const </div><div class="ttdoc">Relative tolerance for the stagnation check. </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2nmf__operations_8hpp_source.html#l00062">nmf_operations.hpp:62</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1nmf__config_html_abd93762ba5ef8bcff896d8455a980dea"><div class="ttname"><a href="classviennacl_1_1linalg_1_1nmf__config.html#abd93762ba5ef8bcff896d8455a980dea">viennacl::linalg::nmf_config::nmf_config</a></div><div class="ttdeci">nmf_config(double val_epsilon=1e-4, double val_epsilon_stagnation=1e-5, vcl_size_t num_max_iters=10000, vcl_size_t num_check_iters=100)</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2nmf__operations_8hpp_source.html#l00042">nmf_operations.hpp:42</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1nmf__config_html_a78285495f87a9f6aade57de8c73b6c31"><div class="ttname"><a href="classviennacl_1_1linalg_1_1nmf__config.html#a78285495f87a9f6aade57de8c73b6c31">viennacl::linalg::nmf_config::iters</a></div><div class="ttdeci">vcl_size_t iters() const </div><div class="ttdoc">Returns the number of iterations of the last NMF run using this configuration object. </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2nmf__operations_8hpp_source.html#l00085">nmf_operations.hpp:85</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_1matrix__base_html_a15ec879f9e85a6fc209454b0bf137084"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">viennacl::matrix_base::row_major</a></div><div class="ttdeci">bool row_major() const </div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00248">matrix_def.hpp:248</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_a67813d48ed274df9fc19e6aad99fc761"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a67813d48ed274df9fc19e6aad99fc761">viennacl::linalg::norm_frobenius</a></div><div class="ttdeci">scalar_expression< const matrix_base< NumericT >, const matrix_base< NumericT >, op_norm_frobenius > norm_frobenius(const matrix_base< NumericT > &A)</div><div class="ttdef"><b>Definition:</b> <a href="norm__frobenius_8hpp_source.html#l00061">norm_frobenius.hpp:61</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_html_ae263e29643746ebdbe6a053d44522c76"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based.html#ae263e29643746ebdbe6a053d44522c76">viennacl::linalg::host_based::trans</a></div><div class="ttdeci">void trans(const matrix_expression< const matrix_base< NumericT, SizeT, DistanceT >, const matrix_base< NumericT, SizeT, DistanceT >, op_trans > &proxy, matrix_base< NumericT > &temp_trans)</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2matrix__operations_8hpp_source.html#l00111">matrix_operations.hpp:111</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1nmf__config_html_a9fcce38eac47da2bdb7c597855322627"><div class="ttname"><a href="classviennacl_1_1linalg_1_1nmf__config.html#a9fcce38eac47da2bdb7c597855322627">viennacl::linalg::nmf_config::max_iterations</a></div><div class="ttdeci">void max_iterations(vcl_size_t m)</div><div class="ttdoc">Sets the maximum number of iterations for the NMF algorithm. </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2nmf__operations_8hpp_source.html#l00079">nmf_operations.hpp:79</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1nmf__config_html_af13bdd7b8374d0968e87511ad840d918"><div class="ttname"><a href="classviennacl_1_1linalg_1_1nmf__config.html#af13bdd7b8374d0968e87511ad840d918">viennacl::linalg::nmf_config::stagnation_tolerance</a></div><div class="ttdeci">void stagnation_tolerance(double e)</div><div class="ttdoc">Sets the tolerance for the stagnation check (i.e. the minimum required relative change of the residua...</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2nmf__operations_8hpp_source.html#l00068">nmf_operations.hpp:68</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="classviennacl_1_1matrix__base_html_a82018b4e169973bdfb9d3be68ceb5be0"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#a82018b4e169973bdfb9d3be68ceb5be0">viennacl::matrix_base::internal_size1</a></div><div class="ttdeci">size_type internal_size1() const </div><div class="ttdoc">Returns the internal number of rows. Usually required for launching OpenCL kernels only...</div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00238">matrix_def.hpp:238</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1nmf__config_html_ab948223929be79e20a1050146210ec6d"><div class="ttname"><a href="classviennacl_1_1linalg_1_1nmf__config.html#ab948223929be79e20a1050146210ec6d">viennacl::linalg::nmf_config::print_relative_error</a></div><div class="ttdeci">bool print_relative_error() const </div><div class="ttdoc">Returns the flag specifying whether the relative tolerance should be printed in each iteration...</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2nmf__operations_8hpp_source.html#l00103">nmf_operations.hpp:103</a></div></div>
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