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<a href="examples_2tutorial_2nmf_8cpp.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="comment">/* =========================================================================</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> Copyright (c) 2010-2016, Institute for Microelectronics,</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> Institute for Analysis and Scientific Computing,</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> TU Wien.</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> Portions of this software are copyright by UChicago Argonne, LLC.</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"></span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> -----------------</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> ViennaCL - The Vienna Computing Library</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"> Project Head: Karl Rupp rupp@iue.tuwien.ac.at</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"> (A list of authors and contributors can be found in the PDF manual)</span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"></span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> License: MIT (X11), see file LICENSE in the base directory</span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> ============================================================================= */</span></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</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="nmf_8hpp.html">viennacl/linalg/nmf.hpp</a>"</span></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="comment">// feel free to change this to 'double' if supported by your hardware.</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keyword">typedef</span> <span class="keywordtype">float</span> <a class="code" href="tests_2src_2nmf_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a>;</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="keyword">template</span><<span class="keyword">typename</span> MajorT></div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="keywordtype">void</span> <a class="code" href="tests_2src_2nmf_8cpp.html#ac2617f03bdf9d88e2417e044625987da">fill_random</a>(<a class="code" href="classviennacl_1_1matrix.html">viennacl::matrix<ScalarType, MajorT></a> & A)</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> {</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keywordflow">for</span> (std::size_t i = 0; i < A.<a class="code" href="classviennacl_1_1matrix__base.html#a24e4f5fa27a1af5ad47e52a97c065d68">size1</a>(); i++)</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordflow">for</span> (std::size_t j = 0; j < A.<a class="code" href="classviennacl_1_1matrix__base.html#a4348766b3b9cb049f7acd6a795272dbe">size2</a>(); ++j)</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  A(i, j) = <span class="keyword">static_cast<</span><a class="code" href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a><span class="keyword">></span>(rand()) / <a class="code" href="tests_2src_2nmf_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a>(RAND_MAX);</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> }</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span> </div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="keywordtype">int</span> <a class="code" href="tests_2src_2nmf_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main</a>()</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span> {</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  std::cout << std::endl;</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  std::cout << <span class="stringliteral">"------- Tutorial NMF --------"</span> << std::endl;</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  std::cout << std::endl;</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> m = 7; <span class="comment">//size1 of W and size1 of V</span></div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> n = 6; <span class="comment">//size2 of V and size2 of H</span></div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> k = 3; <span class="comment">//size2 of W and size1 of H</span></div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="classviennacl_1_1matrix.html">viennacl::matrix<ScalarType, viennacl::column_major></a> V(m, n);</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="classviennacl_1_1matrix.html">viennacl::matrix<ScalarType, viennacl::column_major></a> W(m, k);</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <a class="code" href="classviennacl_1_1matrix.html">viennacl::matrix<ScalarType, viennacl::column_major></a> H(k, n);</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span> </div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <a class="code" href="tests_2src_2nmf_8cpp.html#ac2617f03bdf9d88e2417e044625987da">fill_random</a>(V);</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <a class="code" href="tests_2src_2nmf_8cpp.html#ac2617f03bdf9d88e2417e044625987da">fill_random</a>(W);</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <a class="code" href="tests_2src_2nmf_8cpp.html#ac2617f03bdf9d88e2417e044625987da">fill_random</a>(H);</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>  std::cout << <span class="stringliteral">"Input matrices:"</span> << std::endl;</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  std::cout << <span class="stringliteral">"V"</span> << V << std::endl;</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  std::cout << <span class="stringliteral">"W"</span> << W << std::endl;</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  std::cout << <span class="stringliteral">"H"</span> << H << <span class="stringliteral">"\n"</span> << std::endl;</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span> </div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html">viennacl::linalg::nmf_config</a> conf;</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  conf.<a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#ab948223929be79e20a1050146210ec6d">print_relative_error</a>(<span class="keyword">false</span>);</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  conf.<a class="code" href="classviennacl_1_1linalg_1_1nmf__config.html#a494899ccb2fed620eb7fb69da5fc46c0">max_iterations</a>(50); <span class="comment">// 50 iterations are enough here</span></div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span> </div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  std::cout << <span class="stringliteral">"Computing NMF"</span> << std::endl;</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#a1682d7a829cecf20106e407aed749a49">viennacl::linalg::nmf</a>(V, W, H, conf);</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span> </div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  std::cout << <span class="stringliteral">"RESULT:"</span> << std::endl;</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  std::cout << <span class="stringliteral">"V"</span> << V << std::endl;</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  std::cout << <span class="stringliteral">"W"</span> << W << std::endl;</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  std::cout << <span class="stringliteral">"H"</span> << H << <span class="stringliteral">"\n"</span> << std::endl;</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span> </div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  std::cout << <span class="stringliteral">"W*H:"</span> << std::endl;</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <a class="code" href="classviennacl_1_1matrix.html">viennacl::matrix<ScalarType></a> resultCorrect = <a class="code" href="namespaceviennacl_1_1linalg.html#aa18d10f8a90e38bd9ff43c650fc670ef">viennacl::linalg::prod</a>(W, H);</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  std::cout << resultCorrect << std::endl;</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span> </div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  std::cout << std::endl;</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  std::cout << <span class="stringliteral">"------- Tutorial completed --------"</span> << std::endl;</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  std::cout << std::endl;</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span> </div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span> }</div>
<div class="ttc" id="tests_2src_2nmf_8cpp_html_ae66f6b31b5ad750f1fe042a706a4e3d4"><div class="ttname"><a href="tests_2src_2nmf_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main</a></div><div class="ttdeci">int main()</div><div class="ttdef"><b>Definition:</b> <a href="tests_2src_2nmf_8cpp_source.html#l00100">nmf.cpp:100</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="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="classviennacl_1_1matrix_html"><div class="ttname"><a href="classviennacl_1_1matrix.html">viennacl::matrix</a></div><div class="ttdoc">A dense matrix class. </div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00375">forwards.h:375</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_aa18d10f8a90e38bd9ff43c650fc670ef"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#aa18d10f8a90e38bd9ff43c650fc670ef">viennacl::linalg::prod</a></div><div class="ttdeci">VectorT prod(std::vector< std::vector< T, A1 >, A2 > const &matrix, VectorT const &vector)</div><div class="ttdef"><b>Definition:</b> <a href="prod_8hpp_source.html#l00102">prod.hpp:102</a></div></div>
<div class="ttc" id="classviennacl_1_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_1matrix__base_html_a4348766b3b9cb049f7acd6a795272dbe"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#a4348766b3b9cb049f7acd6a795272dbe">viennacl::matrix_base< NumericT >::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="classviennacl_1_1matrix__base_html_a24e4f5fa27a1af5ad47e52a97c065d68"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#a24e4f5fa27a1af5ad47e52a97c065d68">viennacl::matrix_base< NumericT >::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="namespaceviennacl_1_1linalg_html_a1682d7a829cecf20106e407aed749a49"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a1682d7a829cecf20106e407aed749a49">viennacl::linalg::nmf</a></div><div class="ttdeci">void nmf(viennacl::matrix_base< ScalarType > const &V, viennacl::matrix_base< ScalarType > &W, viennacl::matrix_base< ScalarType > &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="nmf_8hpp_source.html#l00057">nmf.hpp:57</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="tests_2src_2nmf_8cpp_html_ac2617f03bdf9d88e2417e044625987da"><div class="ttname"><a href="tests_2src_2nmf_8cpp.html#ac2617f03bdf9d88e2417e044625987da">fill_random</a></div><div class="ttdeci">void fill_random(viennacl::matrix_base< ScalarType > &v)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2src_2nmf_8cpp_source.html#l00053">nmf.cpp:53</a></div></div>
<div class="ttc" id="tests_2src_2nmf_8cpp_html_ad5c19ca4f47d3f8ec21232a5af2624e5"><div class="ttname"><a href="tests_2src_2nmf_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a></div><div class="ttdeci">float ScalarType</div><div class="ttdef"><b>Definition:</b> <a href="tests_2src_2nmf_8cpp_source.html#l00029">nmf.cpp:29</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>
<div class="ttc" id="nmf_8hpp_html"><div class="ttname"><a href="nmf_8hpp.html">nmf.hpp</a></div><div class="ttdoc">Provides a nonnegative matrix factorization implementation. Experimental. </div></div>
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