<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> <html xmlns="http://www.w3.org/1999/xhtml"> <head> <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> <meta http-equiv="X-UA-Compatible" content="IE=9"/> <meta name="generator" content="Doxygen 1.8.5"/> <title>Eigen: SparseSparseProductWithPruning.h Source File</title> <link href="tabs.css" rel="stylesheet" type="text/css"/> <script type="text/javascript" src="jquery.js"></script> <script type="text/javascript" src="dynsections.js"></script> <link href="navtree.css" rel="stylesheet" type="text/css"/> <script type="text/javascript" src="resize.js"></script> <script type="text/javascript" src="navtree.js"></script> <script type="text/javascript"> $(document).ready(initResizable); $(window).load(resizeHeight); </script> <link href="search/search.css" rel="stylesheet" type="text/css"/> <script type="text/javascript" src="search/search.js"></script> <script type="text/javascript"> $(document).ready(function() { searchBox.OnSelectItem(0); }); </script> <link href="doxygen.css" rel="stylesheet" type="text/css" /> <link href="eigendoxy.css" rel="stylesheet" type="text/css"> <!-- --> <script type="text/javascript" src="eigen_navtree_hacks.js"></script> <!-- <script type="text/javascript"> --> <!-- </script> --> </head> <body> <div id="top"><!-- do not remove this div, it is closed by doxygen! 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If a copy of the MPL was not distributed</span></div> <div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment">// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.</span></div> <div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div> <div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#ifndef EIGEN_SPARSESPARSEPRODUCTWITHPRUNING_H</span></div> <div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor"></span><span class="preprocessor">#define EIGEN_SPARSESPARSEPRODUCTWITHPRUNING_H</span></div> <div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor"></span></div> <div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="keyword">namespace </span>Eigen { </div> <div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div> <div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">namespace </span>internal {</div> <div class="line"><a name="l00016"></a><span class="lineno"> 16</span> </div> <div class="line"><a name="l00017"></a><span class="lineno"> 17</span> </div> <div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment">// perform a pseudo in-place sparse * sparse product assuming all matrices are col major</span></div> <div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> ResultType></div> <div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="keyword">static</span> <span class="keywordtype">void</span> sparse_sparse_product_with_pruning_impl(<span class="keyword">const</span> Lhs& lhs, <span class="keyword">const</span> Rhs& rhs, ResultType& res, <span class="keyword">const</span> <span class="keyword">typename</span> ResultType::RealScalar& tolerance)</div> <div class="line"><a name="l00021"></a><span class="lineno"> 21</span> {</div> <div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="comment">// return sparse_sparse_product_with_pruning_impl2(lhs,rhs,res);</span></div> <div class="line"><a name="l00023"></a><span class="lineno"> 23</span> </div> <div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> remove_all<Lhs>::type::Scalar Scalar;</div> <div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> remove_all<Lhs>::type::Index Index;</div> <div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div> <div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="comment">// make sure to call innerSize/outerSize since we fake the storage order.</span></div> <div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  Index rows = lhs.innerSize();</div> <div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  Index cols = rhs.outerSize();</div> <div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="comment">//int size = lhs.outerSize();</span></div> <div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  eigen_assert(lhs.outerSize() == rhs.innerSize());</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="comment">// allocate a temporary buffer</span></div> <div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  AmbiVector<Scalar,Index> tempVector(rows);</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="comment">// estimate the number of non zero entries</span></div> <div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="comment">// given a rhs column containing Y non zeros, we assume that the respective Y columns</span></div> <div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="comment">// of the lhs differs in average of one non zeros, thus the number of non zeros for</span></div> <div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="comment">// the product of a rhs column with the lhs is X+Y where X is the average number of non zero</span></div> <div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="comment">// per column of the lhs.</span></div> <div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="comment">// Therefore, we have nnz(lhs*rhs) = nnz(lhs) + nnz(rhs)</span></div> <div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  Index estimated_nnz_prod = lhs.nonZeros() + rhs.nonZeros();</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>  <span class="comment">// mimics a resizeByInnerOuter:</span></div> <div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">if</span>(ResultType::IsRowMajor)</div> <div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  res.resize(cols, rows);</div> <div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keywordflow">else</span></div> <div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  res.resize(rows, cols);</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>  res.reserve(estimated_nnz_prod);</div> <div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordtype">double</span> ratioColRes = double(estimated_nnz_prod)/double(lhs.rows()*rhs.cols());</div> <div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">for</span> (Index j=0; j<cols; ++j)</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="comment">// FIXME:</span></div> <div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="comment">//double ratioColRes = (double(rhs.innerVector(j).nonZeros()) + double(lhs.nonZeros())/double(lhs.cols()))/double(lhs.rows());</span></div> <div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="comment">// let's do a more accurate determination of the nnz ratio for the current column j of res</span></div> <div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  tempVector.init(ratioColRes);</div> <div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  tempVector.setZero();</div> <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">for</span> (<span class="keyword">typename</span> Rhs::InnerIterator rhsIt(rhs, j); rhsIt; ++rhsIt)</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>  <span class="comment">// FIXME should be written like this: tmp += rhsIt.value() * lhs.col(rhsIt.index())</span></div> <div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  tempVector.restart();</div> <div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  Scalar x = rhsIt.value();</div> <div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordflow">for</span> (<span class="keyword">typename</span> Lhs::InnerIterator lhsIt(lhs, rhsIt.index()); lhsIt; ++lhsIt)</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>  tempVector.coeffRef(lhsIt.index()) += lhsIt.value() * x;</div> <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  }</div> <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  }</div> <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  res.startVec(j);</div> <div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">for</span> (<span class="keyword">typename</span> AmbiVector<Scalar,Index>::Iterator it(tempVector,tolerance); it; ++it)</div> <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  res.insertBackByOuterInner(j,it.index()) = it.value();</div> <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  }</div> <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  res.finalize();</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> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> ResultType,</div> <div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordtype">int</span> LhsStorageOrder = traits<Lhs>::Flags&<a class="code" href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">RowMajorBit</a>,</div> <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordtype">int</span> RhsStorageOrder = traits<Rhs>::Flags&<a class="code" href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">RowMajorBit</a>,</div> <div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keywordtype">int</span> ResStorageOrder = traits<ResultType>::Flags&<a class="code" href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">RowMajorBit</a>></div> <div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="keyword">struct </span>sparse_sparse_product_with_pruning_selector;</div> <div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div> <div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> ResultType></div> <div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="keyword">struct </span>sparse_sparse_product_with_pruning_selector<Lhs,Rhs,ResultType,<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>,<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>,<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>></div> <div class="line"><a name="l00084"></a><span class="lineno"> 84</span> {</div> <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> traits<typename remove_all<Lhs>::type>::Scalar Scalar;</div> <div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> ResultType::RealScalar RealScalar;</div> <div class="line"><a name="l00087"></a><span class="lineno"> 87</span> </div> <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> run(<span class="keyword">const</span> Lhs& lhs, <span class="keyword">const</span> Rhs& rhs, ResultType& res, <span class="keyword">const</span> RealScalar& tolerance)</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>  <span class="keyword">typename</span> remove_all<ResultType>::type _res(res.rows(), res.cols());</div> <div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  internal::sparse_sparse_product_with_pruning_impl<Lhs,Rhs,ResultType>(lhs, rhs, _res, tolerance);</div> <div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  res.swap(_res);</div> <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  }</div> <div class="line"><a name="l00094"></a><span class="lineno"> 94</span> };</div> <div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div> <div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> ResultType></div> <div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="keyword">struct </span>sparse_sparse_product_with_pruning_selector<Lhs,Rhs,ResultType,<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>,<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>,<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>></div> <div class="line"><a name="l00098"></a><span class="lineno"> 98</span> {</div> <div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> ResultType::RealScalar RealScalar;</div> <div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> run(<span class="keyword">const</span> Lhs& lhs, <span class="keyword">const</span> Rhs& rhs, ResultType& res, <span class="keyword">const</span> RealScalar& tolerance)</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>  <span class="comment">// we need a col-major matrix to hold the result</span></div> <div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keyword">typedef</span> SparseMatrix<typename ResultType::Scalar> SparseTemporaryType;</div> <div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  SparseTemporaryType _res(res.rows(), res.cols());</div> <div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  internal::sparse_sparse_product_with_pruning_impl<Lhs,Rhs,SparseTemporaryType>(lhs, rhs, _res, tolerance);</div> <div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  res = _res;</div> <div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  }</div> <div class="line"><a name="l00108"></a><span class="lineno"> 108</span> };</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> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> ResultType></div> <div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="keyword">struct </span>sparse_sparse_product_with_pruning_selector<Lhs,Rhs,ResultType,<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>,<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>,<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>></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">typedef</span> <span class="keyword">typename</span> ResultType::RealScalar RealScalar;</div> <div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> run(<span class="keyword">const</span> Lhs& lhs, <span class="keyword">const</span> Rhs& rhs, ResultType& res, <span class="keyword">const</span> RealScalar& tolerance)</div> <div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  {</div> <div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="comment">// let's transpose the product to get a column x column product</span></div> <div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keyword">typename</span> remove_all<ResultType>::type _res(res.rows(), res.cols());</div> <div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  internal::sparse_sparse_product_with_pruning_impl<Rhs,Lhs,ResultType>(rhs, lhs, _res, tolerance);</div> <div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  res.swap(_res);</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> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> ResultType></div> <div class="line"><a name="l00124"></a><span class="lineno"> 124</span> <span class="keyword">struct </span>sparse_sparse_product_with_pruning_selector<Lhs,Rhs,ResultType,<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>,<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>,<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>></div> <div class="line"><a name="l00125"></a><span class="lineno"> 125</span> {</div> <div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> ResultType::RealScalar RealScalar;</div> <div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> run(<span class="keyword">const</span> Lhs& lhs, <span class="keyword">const</span> Rhs& rhs, ResultType& res, <span class="keyword">const</span> RealScalar& tolerance)</div> <div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  {</div> <div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keyword">typedef</span> SparseMatrix<typename ResultType::Scalar,ColMajor> ColMajorMatrix;</div> <div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  ColMajorMatrix colLhs(lhs);</div> <div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  ColMajorMatrix colRhs(rhs);</div> <div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  internal::sparse_sparse_product_with_pruning_impl<ColMajorMatrix,ColMajorMatrix,ResultType>(colLhs, colRhs, res, tolerance);</div> <div class="line"><a name="l00133"></a><span class="lineno"> 133</span> </div> <div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="comment">// let's transpose the product to get a column x column product</span></div> <div class="line"><a name="l00135"></a><span class="lineno"> 135</span> <span class="comment">// typedef SparseMatrix<typename ResultType::Scalar> SparseTemporaryType;</span></div> <div class="line"><a name="l00136"></a><span class="lineno"> 136</span> <span class="comment">// SparseTemporaryType _res(res.cols(), res.rows());</span></div> <div class="line"><a name="l00137"></a><span class="lineno"> 137</span> <span class="comment">// sparse_sparse_product_with_pruning_impl<Rhs,Lhs,SparseTemporaryType>(rhs, lhs, _res);</span></div> <div class="line"><a name="l00138"></a><span class="lineno"> 138</span> <span class="comment">// res = _res.transpose();</span></div> <div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  }</div> <div class="line"><a name="l00140"></a><span class="lineno"> 140</span> };</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="comment">// NOTE the 2 others cases (col row *) must never occur since they are caught</span></div> <div class="line"><a name="l00143"></a><span class="lineno"> 143</span> <span class="comment">// by ProductReturnType which transforms it to (col col *) by evaluating rhs.</span></div> <div class="line"><a name="l00144"></a><span class="lineno"> 144</span> </div> <div class="line"><a name="l00145"></a><span class="lineno"> 145</span> } <span class="comment">// end namespace internal</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> } <span class="comment">// end namespace Eigen</span></div> <div class="line"><a name="l00148"></a><span class="lineno"> 148</span> </div> <div class="line"><a name="l00149"></a><span class="lineno"> 149</span> <span class="preprocessor">#endif // EIGEN_SPARSESPARSEPRODUCTWITHPRUNING_H</span></div> <div class="ttc" id="group__enums_html_gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044"><div class="ttname"><a href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">Eigen::RowMajor</a></div><div class="ttdef"><b>Definition:</b> Constants.h:266</div></div> <div class="ttc" id="group__enums_html_gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf"><div class="ttname"><a href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">Eigen::ColMajor</a></div><div class="ttdef"><b>Definition:</b> Constants.h:264</div></div> <div class="ttc" id="group__flags_html_ga7bd49e7b260e869e10fb9dc4fd081a85"><div class="ttname"><a href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">Eigen::RowMajorBit</a></div><div class="ttdeci">const unsigned int RowMajorBit</div><div class="ttdef"><b>Definition:</b> Constants.h:53</div></div> </div><!-- fragment --></div><!-- contents --> </div><!-- doc-content --> <!-- start footer part --> <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> <ul> <li class="navelem"><a class="el" href="dir_e49d68e3078f12dfcf157021597ad168.html">Eigen</a></li><li class="navelem"><a class="el" href="dir_64b228556dc7f9fe757d43bb57fbfc24.html">src</a></li><li class="navelem"><a class="el" href="dir_b9d06f6d5303777cc8c118a3df19eb22.html">SparseCore</a></li><li class="navelem"><b>SparseSparseProductWithPruning.h</b></li> <li class="footer">Generated on Mon Oct 28 2013 11:04:26 for Eigen by <a href="http://www.doxygen.org/index.html"> <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.5 </li> </ul> </div> <!-- Piwik --> <!-- <script 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