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<div class="title">SparseSelfAdjointView.h</div> </div>
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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">// This file is part of Eigen, a lightweight C++ template library</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// for linear algebra.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">//</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr></span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment">//</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment">// This Source Code Form is subject to the terms of the Mozilla</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment">// Public License v. 2.0. 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_SPARSE_SELFADJOINTVIEW_H</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor"></span><span class="preprocessor">#define EIGEN_SPARSE_SELFADJOINTVIEW_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="l00029"></a><span class="lineno"> 29</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> UpLo></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keyword">class </span>SparseSelfAdjointTimeDenseProduct;</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> UpLo></div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="keyword">class </span>DenseTimeSparseSelfAdjointProduct;</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>internal {</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> <span class="keyword">template</span><<span class="keyword">typename</span> MatrixType, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> UpLo></div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="keyword">struct </span>traits<SparseSelfAdjointView<MatrixType,UpLo> > : traits<MatrixType> {</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> };</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keyword">template</span><<span class="keywordtype">int</span> SrcUpLo,<span class="keywordtype">int</span> DstUpLo,<span class="keyword">typename</span> MatrixType,<span class="keywordtype">int</span> DestOrder></div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="keywordtype">void</span> permute_symm_to_symm(<span class="keyword">const</span> MatrixType& mat, SparseMatrix<typename MatrixType::Scalar,DestOrder,typename MatrixType::Index>& _dest, <span class="keyword">const</span> <span class="keyword">typename</span> MatrixType::Index* perm = 0);</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="keyword">template</span><<span class="keywordtype">int</span> UpLo,<span class="keyword">typename</span> MatrixType,<span class="keywordtype">int</span> DestOrder></div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="keywordtype">void</span> permute_symm_to_fullsymm(<span class="keyword">const</span> MatrixType& mat, SparseMatrix<typename MatrixType::Scalar,DestOrder,typename MatrixType::Index>& _dest, <span class="keyword">const</span> <span class="keyword">typename</span> MatrixType::Index* perm = 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="l00049"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseSelfAdjointView.html"> 49</a></span> <span class="keyword">template</span><<span class="keyword">typename</span> MatrixType, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> UpLo> <span class="keyword">class </span><a class="code" href="classEigen_1_1SparseSelfAdjointView.html">SparseSelfAdjointView</a></div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  : <span class="keyword">public</span> <a class="code" href="structEigen_1_1EigenBase.html">EigenBase</a><SparseSelfAdjointView<MatrixType,UpLo> ></div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span> {</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">public</span>:</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="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::Scalar Scalar;</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::Index Index;</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keyword">typedef</span> <a class="code" href="classEigen_1_1Matrix.html">Matrix<Index,Dynamic,1></a> <a class="code" href="classEigen_1_1Matrix.html">VectorI</a>;</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::Nested MatrixTypeNested;</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::remove_all<MatrixTypeNested>::type _MatrixTypeNested;</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>  <span class="keyword">inline</span> <a class="code" href="classEigen_1_1SparseSelfAdjointView.html">SparseSelfAdjointView</a>(<span class="keyword">const</span> MatrixType& matrix) : m_matrix(matrix)</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  {</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  eigen_assert(rows()==cols() && <span class="stringliteral">"SelfAdjointView is only for squared matrices"</span>);</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  }</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span> </div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keyword">inline</span> Index rows()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_matrix.rows(); }</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keyword">inline</span> Index cols()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_matrix.cols(); }</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keyword">const</span> _MatrixTypeNested& matrix()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_matrix; }</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  _MatrixTypeNested& matrix() { <span class="keywordflow">return</span> m_matrix.const_cast_derived(); }</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keyword">template</span><<span class="keyword">typename</span> OtherDerived></div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  SparseSparseProduct<typename OtherDerived::PlainObject, OtherDerived></div>
<div class="line"><a name="l00079"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseSelfAdjointView.html#a6becf66c0294e516cbe73141c4276452"> 79</a></span>  <a class="code" href="classEigen_1_1SparseSelfAdjointView.html#a6becf66c0294e516cbe73141c4276452">operator*</a>(<span class="keyword">const</span> <a class="code" href="classEigen_1_1SparseMatrixBase.html">SparseMatrixBase<OtherDerived></a>& rhs)<span class="keyword"> const</span></div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordflow">return</span> SparseSparseProduct<typename OtherDerived::PlainObject, OtherDerived>(*<span class="keyword">this</span>, rhs.<a class="code" href="structEigen_1_1EigenBase.html#aa84222add803ad7c9db07dd4dd91d5d9">derived</a>());</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="l00089"></a><span class="lineno"> 89</span>  <span class="keyword">template</span><<span class="keyword">typename</span> OtherDerived> <span class="keyword">friend</span></div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  SparseSparseProduct<OtherDerived, typename OtherDerived::PlainObject ></div>
<div class="line"><a name="l00091"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseSelfAdjointView.html#a75bf70d2a0ed3334b4676132f98e677c"> 91</a></span>  <a class="code" href="classEigen_1_1SparseSelfAdjointView.html#a75bf70d2a0ed3334b4676132f98e677c">operator*</a>(<span class="keyword">const</span> <a class="code" href="classEigen_1_1SparseMatrixBase.html">SparseMatrixBase<OtherDerived></a>& lhs, <span class="keyword">const</span> <a class="code" href="classEigen_1_1SparseSelfAdjointView.html">SparseSelfAdjointView</a>& rhs)</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  {</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordflow">return</span> SparseSparseProduct<OtherDerived, typename OtherDerived::PlainObject>(lhs.<a class="code" href="structEigen_1_1EigenBase.html#aa84222add803ad7c9db07dd4dd91d5d9">derived</a>(), rhs);</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="l00097"></a><span class="lineno"> 97</span>  <span class="keyword">template</span><<span class="keyword">typename</span> OtherDerived></div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  SparseSelfAdjointTimeDenseProduct<MatrixType,OtherDerived,UpLo></div>
<div class="line"><a name="l00099"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseSelfAdjointView.html#a33246b96f75f2d1d38f13ffbf1cfdde1"> 99</a></span>  <a class="code" href="classEigen_1_1SparseSelfAdjointView.html#a33246b96f75f2d1d38f13ffbf1cfdde1">operator*</a>(<span class="keyword">const</span> <a class="code" href="classEigen_1_1MatrixBase.html">MatrixBase<OtherDerived></a>& rhs)<span class="keyword"> const</span></div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordflow">return</span> SparseSelfAdjointTimeDenseProduct<MatrixType,OtherDerived,UpLo>(m_matrix, rhs.derived());</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  }</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span> </div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keyword">template</span><<span class="keyword">typename</span> OtherDerived> <span class="keyword">friend</span></div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  DenseTimeSparseSelfAdjointProduct<OtherDerived,MatrixType,UpLo></div>
<div class="line"><a name="l00107"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseSelfAdjointView.html#aabbbcb01be70dbe9cde68fa72ea5c252"> 107</a></span>  <a class="code" href="classEigen_1_1SparseSelfAdjointView.html#aabbbcb01be70dbe9cde68fa72ea5c252">operator*</a>(<span class="keyword">const</span> <a class="code" href="classEigen_1_1MatrixBase.html">MatrixBase<OtherDerived></a>& lhs, <span class="keyword">const</span> <a class="code" href="classEigen_1_1SparseSelfAdjointView.html">SparseSelfAdjointView</a>& rhs)</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>  <span class="keywordflow">return</span> DenseTimeSparseSelfAdjointProduct<OtherDerived,_MatrixTypeNested,UpLo>(lhs.derived(), rhs.m_matrix);</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  }</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span> </div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keyword">template</span><<span class="keyword">typename</span> DerivedU></div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <a class="code" href="classEigen_1_1SparseSelfAdjointView.html">SparseSelfAdjointView</a>& <a class="code" href="classEigen_1_1SparseSelfAdjointView.html#a0085177e43effc252b357facf2ab6ce4">rankUpdate</a>(<span class="keyword">const</span> <a class="code" href="classEigen_1_1SparseMatrixBase.html">SparseMatrixBase<DerivedU></a>& u, <span class="keyword">const</span> Scalar& alpha = Scalar(1));</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  </div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keyword">template</span><<span class="keyword">typename</span> DestScalar,<span class="keywordtype">int</span> StorageOrder> <span class="keywordtype">void</span> evalTo(<a class="code" href="classEigen_1_1SparseMatrix.html">SparseMatrix<DestScalar,StorageOrder,Index></a>& _dest)<span class="keyword"> const</span></div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  internal::permute_symm_to_fullsymm<UpLo>(m_matrix, _dest);</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>  </div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keyword">template</span><<span class="keyword">typename</span> DestScalar> <span class="keywordtype">void</span> evalTo(DynamicSparseMatrix<DestScalar,ColMajor,Index>& _dest)<span class="keyword"> const</span></div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="comment">// TODO directly evaluate into _dest;</span></div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  SparseMatrix<DestScalar,ColMajor,Index> tmp(_dest.rows(),_dest.cols());</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  internal::permute_symm_to_fullsymm<UpLo>(m_matrix, tmp);</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  _dest = tmp;</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>  </div>
<div class="line"><a name="l00138"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseSelfAdjointView.html#a0a6190f7932927f85ef69f2f63d0c9c4"> 138</a></span>  SparseSymmetricPermutationProduct<_MatrixTypeNested,UpLo> <a class="code" href="classEigen_1_1SparseSelfAdjointView.html#a0a6190f7932927f85ef69f2f63d0c9c4">twistedBy</a>(<span class="keyword">const</span> <a class="code" href="classEigen_1_1PermutationMatrix.html">PermutationMatrix<Dynamic,Dynamic,Index></a>& perm)<span class="keyword"> const</span></div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keywordflow">return</span> SparseSymmetricPermutationProduct<_MatrixTypeNested,UpLo>(m_matrix, perm);</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>  </div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keyword">template</span><<span class="keyword">typename</span> SrcMatrixType,<span class="keywordtype">int</span> SrcUpLo></div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <a class="code" href="classEigen_1_1SparseSelfAdjointView.html">SparseSelfAdjointView</a>& operator=(<span class="keyword">const</span> SparseSymmetricPermutationProduct<SrcMatrixType,SrcUpLo>& permutedMatrix)</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>  permutedMatrix.evalTo(*<span class="keyword">this</span>);</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keywordflow">return</span> *<span class="keyword">this</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> </div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span> </div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  SparseSelfAdjointView& operator=(<span class="keyword">const</span> SparseSelfAdjointView& src)</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  {</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  PermutationMatrix<Dynamic> pnull;</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span> = src.twistedBy(pnull);</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  }</div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span> </div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keyword">template</span><<span class="keyword">typename</span> SrcMatrixType,<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> SrcUpLo></div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  SparseSelfAdjointView& operator=(<span class="keyword">const</span> SparseSelfAdjointView<SrcMatrixType,SrcUpLo>& src)</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  {</div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  PermutationMatrix<Dynamic> pnull;</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span> = src.twistedBy(pnull);</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  }</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  </div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span> </div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="comment">// const SparseLLT<PlainObject, UpLo> llt() const;</span></div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="comment">// const SparseLDLT<PlainObject, UpLo> ldlt() const;</span></div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span> </div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keyword">protected</span>:</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>  <span class="keyword">typename</span> MatrixType::Nested m_matrix;</div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keyword">mutable</span> VectorI m_countPerRow;</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keyword">mutable</span> VectorI m_countPerCol;</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> </div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span> <span class="comment">/***************************************************************************</span></div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span> <span class="comment">* Implementation of SparseMatrixBase methods</span></div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span> <span class="comment">***************************************************************************/</span></div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span> </div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span> <span class="keyword">template</span><<span class="keyword">typename</span> Derived></div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span> <span class="keyword">template</span><<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> UpLo></div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span> <span class="keyword">const</span> SparseSelfAdjointView<Derived, UpLo> SparseMatrixBase<Derived>::selfadjointView()<span class="keyword"> const</span></div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="keywordflow">return</span> derived();</div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span> }</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span> </div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span> <span class="keyword">template</span><<span class="keyword">typename</span> Derived></div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span> <span class="keyword">template</span><<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> UpLo></div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span> SparseSelfAdjointView<Derived, UpLo> SparseMatrixBase<Derived>::selfadjointView()</div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span> {</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keywordflow">return</span> derived();</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> </div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span> <span class="comment">/***************************************************************************</span></div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span> <span class="comment">* Implementation of SparseSelfAdjointView methods</span></div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span> <span class="comment">***************************************************************************/</span></div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span> </div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span> <span class="keyword">template</span><<span class="keyword">typename</span> MatrixType, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> UpLo></div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span> <span class="keyword">template</span><<span class="keyword">typename</span> DerivedU></div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span> SparseSelfAdjointView<MatrixType,UpLo>&</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span> <a class="code" href="classEigen_1_1SparseSelfAdjointView.html#a0085177e43effc252b357facf2ab6ce4">SparseSelfAdjointView<MatrixType,UpLo>::rankUpdate</a>(<span class="keyword">const</span> SparseMatrixBase<DerivedU>& u, <span class="keyword">const</span> Scalar& alpha)</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>  SparseMatrix<Scalar,MatrixType::Flags&RowMajorBit?RowMajor:ColMajor> tmp = u * u.adjoint();</div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keywordflow">if</span>(alpha==Scalar(0))</div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  m_matrix.const_cast_derived() = tmp.template triangularView<UpLo>();</div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  m_matrix.const_cast_derived() += alpha * tmp.template triangularView<UpLo>();</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">return</span> *<span class="keyword">this</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> </div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span> <span class="comment">/***************************************************************************</span></div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span> <span class="comment">* Implementation of sparse self-adjoint time dense matrix</span></div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span> <span class="comment">***************************************************************************/</span></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="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> UpLo></div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span> <span class="keyword">struct </span>traits<SparseSelfAdjointTimeDenseProduct<Lhs,Rhs,UpLo> ></div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  : traits<ProductBase<SparseSelfAdjointTimeDenseProduct<Lhs,Rhs,UpLo>, Lhs, Rhs> ></div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span> {</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keyword">typedef</span> Dense StorageKind;</div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span> };</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span> }</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span> </div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> UpLo></div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span> <span class="keyword">class </span>SparseSelfAdjointTimeDenseProduct</div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  : <span class="keyword">public</span> ProductBase<SparseSelfAdjointTimeDenseProduct<Lhs,Rhs,UpLo>, Lhs, Rhs></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="keyword">public</span>:</div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  EIGEN_PRODUCT_PUBLIC_INTERFACE(SparseSelfAdjointTimeDenseProduct)</div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span> </div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  SparseSelfAdjointTimeDenseProduct(const Lhs& lhs, const Rhs& rhs) : Base(lhs,rhs)</div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  {}</div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span> </div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Dest> <span class="keywordtype">void</span> scaleAndAddTo(Dest& dest, <span class="keyword">const</span> Scalar& alpha)<span class="keyword"> const</span></div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  EIGEN_ONLY_USED_FOR_DEBUG(alpha);</div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="comment">// TODO use alpha</span></div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  eigen_assert(alpha==Scalar(1) && <span class="stringliteral">"alpha != 1 is not implemented yet, sorry"</span>);</div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::remove_all<Lhs>::type _Lhs;</div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> _Lhs::InnerIterator LhsInnerIterator;</div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  LhsIsRowMajor = (_Lhs::Flags&<a class="code" href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">RowMajorBit</a>)==<a class="code" href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">RowMajorBit</a>,</div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  ProcessFirstHalf =</div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  ((UpLo&(<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bae70afef0d3ff7aca74e17e85ff6c9f2e">Upper</a>|<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910baf886b397626076218462d53d50eb96bc">Lower</a>))==(<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bae70afef0d3ff7aca74e17e85ff6c9f2e">Upper</a>|<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910baf886b397626076218462d53d50eb96bc">Lower</a>))</div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  || ( (UpLo&<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bae70afef0d3ff7aca74e17e85ff6c9f2e">Upper</a>) && !LhsIsRowMajor)</div>
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  || ( (UpLo&<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910baf886b397626076218462d53d50eb96bc">Lower</a>) && LhsIsRowMajor),</div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  ProcessSecondHalf = !ProcessFirstHalf</div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  };</div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keywordflow">for</span> (Index j=0; j<m_lhs.outerSize(); ++j)</div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  {</div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  LhsInnerIterator i(m_lhs,j);</div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keywordflow">if</span> (ProcessSecondHalf)</div>
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  {</div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keywordflow">while</span> (i && i.index()<j) ++i;</div>
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keywordflow">if</span>(i && i.index()==j)</div>
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  {</div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  dest.row(j) += i.value() * m_rhs.row(j);</div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  ++i;</div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  }</div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  }</div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keywordflow">for</span>(; (ProcessFirstHalf ? i && i.index() < j : i) ; ++i)</div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  {</div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <a class="code" href="classEigen_1_1DenseBase.html#a4d4873e91be950c079f067fa97fd5c40">Index</a> a = LhsIsRowMajor ? j : i.index();</div>
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <a class="code" href="classEigen_1_1DenseBase.html#a4d4873e91be950c079f067fa97fd5c40">Index</a> b = LhsIsRowMajor ? i.index() : j;</div>
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keyword">typename</span> Lhs::Scalar v = i.value();</div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  dest.row(a) += (v) * m_rhs.row(b);</div>
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  dest.row(b) += numext::conj(v) * m_rhs.row(a);</div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  }</div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keywordflow">if</span> (ProcessFirstHalf && i && (i.index()==j))</div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  dest.row(j) += i.value() * m_rhs.row(j);</div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  }</div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  }</div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span> </div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="keyword">private</span>:</div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  SparseSelfAdjointTimeDenseProduct& <a class="code" href="classEigen_1_1MatrixBase.html#a15b68c50126bd4212b7041d95743d729">operator=</a>(<span class="keyword">const</span> SparseSelfAdjointTimeDenseProduct&);</div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span> };</div>
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span> </div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span> <span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> UpLo></div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span> <span class="keyword">struct </span>traits<DenseTimeSparseSelfAdjointProduct<Lhs,Rhs,UpLo> ></div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  : traits<ProductBase<DenseTimeSparseSelfAdjointProduct<Lhs,Rhs,UpLo>, Lhs, Rhs> ></div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span> {};</div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span> }</div>
<div class="line"><a name="l00284"></a><span class="lineno"> 284</span> </div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> UpLo></div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span> <span class="keyword">class </span>DenseTimeSparseSelfAdjointProduct</div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  : <span class="keyword">public</span> ProductBase<DenseTimeSparseSelfAdjointProduct<Lhs,Rhs,UpLo>, Lhs, Rhs></div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span> {</div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  EIGEN_PRODUCT_PUBLIC_INTERFACE(DenseTimeSparseSelfAdjointProduct)</div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span> </div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  DenseTimeSparseSelfAdjointProduct(const Lhs& lhs, const Rhs& rhs) : Base(lhs,rhs)</div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  {}</div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span> </div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Dest> <span class="keywordtype">void</span> scaleAndAddTo(Dest& <span class="comment">/*dest*/</span>, <span class="keyword">const</span> Scalar& <span class="comment">/*alpha*/</span>)<span class="keyword"> const</span></div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="comment">// TODO</span></div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  }</div>
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span> </div>
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <span class="keyword">private</span>:</div>
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  DenseTimeSparseSelfAdjointProduct& <a class="code" href="classEigen_1_1MatrixBase.html#a15b68c50126bd4212b7041d95743d729">operator=</a>(<span class="keyword">const</span> DenseTimeSparseSelfAdjointProduct&);</div>
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span> };</div>
<div class="line"><a name="l00303"></a><span class="lineno"> 303</span> </div>
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span> <span class="comment">/***************************************************************************</span></div>
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span> <span class="comment">* Implementation of symmetric copies and permutations</span></div>
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span> <span class="comment">***************************************************************************/</span></div>
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span> <span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  </div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span> <span class="keyword">template</span><<span class="keyword">typename</span> MatrixType, <span class="keywordtype">int</span> UpLo></div>
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span> <span class="keyword">struct </span>traits<SparseSymmetricPermutationProduct<MatrixType,UpLo> > : traits<MatrixType> {</div>
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span> };</div>
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span> </div>
<div class="line"><a name="l00313"></a><span class="lineno"> 313</span> <span class="keyword">template</span><<span class="keywordtype">int</span> UpLo,<span class="keyword">typename</span> MatrixType,<span class="keywordtype">int</span> DestOrder></div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span> <span class="keywordtype">void</span> permute_symm_to_fullsymm(<span class="keyword">const</span> MatrixType& mat, SparseMatrix<typename MatrixType::Scalar,DestOrder,typename MatrixType::Index>& _dest, <span class="keyword">const</span> <span class="keyword">typename</span> MatrixType::Index* perm)</div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span> {</div>
<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::Index Index;</div>
<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::Scalar Scalar;</div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="keyword">typedef</span> SparseMatrix<Scalar,DestOrder,Index> Dest;</div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keyword">typedef</span> Matrix<Index,Dynamic,1> VectorI;</div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  </div>
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  Dest& dest(_dest.derived());</div>
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  StorageOrderMatch = int(Dest::IsRowMajor) == int(MatrixType::IsRowMajor)</div>
<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  };</div>
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  </div>
<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  Index size = mat.rows();</div>
<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  VectorI count;</div>
<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  count.resize(size);</div>
<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  count.setZero();</div>
<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  dest.resize(size,size);</div>
<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keywordflow">for</span>(Index j = 0; j<size; ++j)</div>
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  {</div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  Index jp = perm ? perm[j] : j;</div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keywordflow">for</span>(<span class="keyword">typename</span> MatrixType::InnerIterator it(mat,j); it; ++it)</div>
<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  {</div>
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  Index i = it.index();</div>
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  Index r = it.row();</div>
<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  Index c = it.col();</div>
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  Index ip = perm ? perm[i] : i;</div>
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <span class="keywordflow">if</span>(UpLo==(<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bae70afef0d3ff7aca74e17e85ff6c9f2e">Upper</a>|<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910baf886b397626076218462d53d50eb96bc">Lower</a>))</div>
<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  count[StorageOrderMatch ? jp : ip]++;</div>
<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(r==c)</div>
<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  count[ip]++;</div>
<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(( UpLo==<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910baf886b397626076218462d53d50eb96bc">Lower</a> && r>c) || ( UpLo==<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bae70afef0d3ff7aca74e17e85ff6c9f2e">Upper</a> && r<c))</div>
<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  {</div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  count[ip]++;</div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  count[jp]++;</div>
<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  }</div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  }</div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  }</div>
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  Index nnz = count.sum();</div>
<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  </div>
<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <span class="comment">// reserve space</span></div>
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  dest.resizeNonZeros(nnz);</div>
<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  dest.outerIndexPtr()[0] = 0;</div>
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keywordflow">for</span>(Index j=0; j<size; ++j)</div>
<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  dest.outerIndexPtr()[j+1] = dest.outerIndexPtr()[j] + count[j];</div>
<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keywordflow">for</span>(Index j=0; j<size; ++j)</div>
<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  count[j] = dest.outerIndexPtr()[j];</div>
<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  </div>
<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="comment">// copy data</span></div>
<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="keywordflow">for</span>(Index j = 0; j<size; ++j)</div>
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  {</div>
<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keywordflow">for</span>(<span class="keyword">typename</span> MatrixType::InnerIterator it(mat,j); it; ++it)</div>
<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  {</div>
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  Index i = it.index();</div>
<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  Index r = it.row();</div>
<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  Index c = it.col();</div>
<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  </div>
<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  Index jp = perm ? perm[j] : j;</div>
<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  Index ip = perm ? perm[i] : i;</div>
<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  </div>
<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <span class="keywordflow">if</span>(UpLo==(<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bae70afef0d3ff7aca74e17e85ff6c9f2e">Upper</a>|<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910baf886b397626076218462d53d50eb96bc">Lower</a>))</div>
<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  {</div>
<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  Index k = count[StorageOrderMatch ? jp : ip]++;</div>
<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  dest.innerIndexPtr()[k] = StorageOrderMatch ? ip : jp;</div>
<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  dest.valuePtr()[k] = it.value();</div>
<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  }</div>
<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(r==c)</div>
<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  {</div>
<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  Index k = count[ip]++;</div>
<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  dest.innerIndexPtr()[k] = ip;</div>
<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  dest.valuePtr()[k] = it.value();</div>
<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  }</div>
<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(( (UpLo&<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910baf886b397626076218462d53d50eb96bc">Lower</a>)==Lower && r>c) || ( (UpLo&<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bae70afef0d3ff7aca74e17e85ff6c9f2e">Upper</a>)==Upper && r<c))</div>
<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  {</div>
<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="keywordflow">if</span>(!StorageOrderMatch)</div>
<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  std::swap(ip,jp);</div>
<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  Index k = count[jp]++;</div>
<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  dest.innerIndexPtr()[k] = ip;</div>
<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  dest.valuePtr()[k] = it.value();</div>
<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  k = count[ip]++;</div>
<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  dest.innerIndexPtr()[k] = jp;</div>
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  dest.valuePtr()[k] = numext::conj(it.value());</div>
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  }</div>
<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  }</div>
<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  }</div>
<div class="line"><a name="l00398"></a><span class="lineno"> 398</span> }</div>
<div class="line"><a name="l00399"></a><span class="lineno"> 399</span> </div>
<div class="line"><a name="l00400"></a><span class="lineno"> 400</span> <span class="keyword">template</span><<span class="keywordtype">int</span> _SrcUpLo,<span class="keywordtype">int</span> _DstUpLo,<span class="keyword">typename</span> MatrixType,<span class="keywordtype">int</span> DstOrder></div>
<div class="line"><a name="l00401"></a><span class="lineno"> 401</span> <span class="keywordtype">void</span> permute_symm_to_symm(<span class="keyword">const</span> MatrixType& mat, SparseMatrix<typename MatrixType::Scalar,DstOrder,typename MatrixType::Index>& _dest, <span class="keyword">const</span> <span class="keyword">typename</span> MatrixType::Index* perm)</div>
<div class="line"><a name="l00402"></a><span class="lineno"> 402</span> {</div>
<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::Index Index;</div>
<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::Scalar Scalar;</div>
<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  SparseMatrix<Scalar,DstOrder,Index>& dest(_dest.derived());</div>
<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="keyword">typedef</span> Matrix<Index,Dynamic,1> VectorI;</div>
<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  SrcOrder = MatrixType::IsRowMajor ? <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="l00409"></a><span class="lineno"> 409</span>  StorageOrderMatch = int(SrcOrder) == int(DstOrder),</div>
<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  DstUpLo = DstOrder==<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a> ? (_DstUpLo==Upper ? Lower : <a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bae70afef0d3ff7aca74e17e85ff6c9f2e">Upper</a>) : _DstUpLo,</div>
<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  SrcUpLo = SrcOrder==<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a> ? (_SrcUpLo==Upper ? Lower : Upper) : _SrcUpLo</div>
<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  };</div>
<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  </div>
<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  Index size = mat.rows();</div>
<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  VectorI count(size);</div>
<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  count.setZero();</div>
<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  dest.resize(size,size);</div>
<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <span class="keywordflow">for</span>(Index j = 0; j<size; ++j)</div>
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  {</div>
<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  Index jp = perm ? perm[j] : j;</div>
<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <span class="keywordflow">for</span>(<span class="keyword">typename</span> MatrixType::InnerIterator it(mat,j); it; ++it)</div>
<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  {</div>
<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  Index i = it.index();</div>
<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <span class="keywordflow">if</span>((<span class="keywordtype">int</span>(SrcUpLo)==<span class="keywordtype">int</span>(Lower) && i<j) || (<span class="keywordtype">int</span>(SrcUpLo)==<span class="keywordtype">int</span>(Upper) && i>j))</div>
<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  </div>
<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  Index ip = perm ? perm[i] : i;</div>
<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  count[int(DstUpLo)==int(Lower) ? (std::min)(ip,jp) : (std::max)(ip,jp)]++;</div>
<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  }</div>
<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  }</div>
<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  dest.outerIndexPtr()[0] = 0;</div>
<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <span class="keywordflow">for</span>(Index j=0; j<size; ++j)</div>
<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  dest.outerIndexPtr()[j+1] = dest.outerIndexPtr()[j] + count[j];</div>
<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  dest.resizeNonZeros(dest.outerIndexPtr()[size]);</div>
<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <span class="keywordflow">for</span>(Index j=0; j<size; ++j)</div>
<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  count[j] = dest.outerIndexPtr()[j];</div>
<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  </div>
<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <span class="keywordflow">for</span>(Index j = 0; j<size; ++j)</div>
<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  {</div>
<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  </div>
<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <span class="keywordflow">for</span>(<span class="keyword">typename</span> MatrixType::InnerIterator it(mat,j); it; ++it)</div>
<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  {</div>
<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  Index i = it.index();</div>
<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <span class="keywordflow">if</span>((<span class="keywordtype">int</span>(SrcUpLo)==<span class="keywordtype">int</span>(Lower) && i<j) || (<span class="keywordtype">int</span>(SrcUpLo)==<span class="keywordtype">int</span>(Upper) && i>j))</div>
<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  </div>
<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  Index jp = perm ? perm[j] : j;</div>
<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  Index ip = perm? perm[i] : i;</div>
<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  </div>
<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  Index k = count[int(DstUpLo)==int(Lower) ? (std::min)(ip,jp) : (std::max)(ip,jp)]++;</div>
<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  dest.innerIndexPtr()[k] = int(DstUpLo)==int(Lower) ? (std::max)(ip,jp) : (std::min)(ip,jp);</div>
<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  </div>
<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <span class="keywordflow">if</span>(!StorageOrderMatch) std::swap(ip,jp);</div>
<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <span class="keywordflow">if</span>( ((<span class="keywordtype">int</span>(DstUpLo)==<span class="keywordtype">int</span>(Lower) && ip<jp) || (<span class="keywordtype">int</span>(DstUpLo)==<span class="keywordtype">int</span>(Upper) && ip>jp)))</div>
<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  dest.valuePtr()[k] = numext::conj(it.value());</div>
<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  dest.valuePtr()[k] = it.value();</div>
<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  }</div>
<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  }</div>
<div class="line"><a name="l00460"></a><span class="lineno"> 460</span> }</div>
<div class="line"><a name="l00461"></a><span class="lineno"> 461</span> </div>
<div class="line"><a name="l00462"></a><span class="lineno"> 462</span> }</div>
<div class="line"><a name="l00463"></a><span class="lineno"> 463</span> </div>
<div class="line"><a name="l00464"></a><span class="lineno"> 464</span> <span class="keyword">template</span><<span class="keyword">typename</span> MatrixType,<span class="keywordtype">int</span> UpLo></div>
<div class="line"><a name="l00465"></a><span class="lineno"> 465</span> <span class="keyword">class </span>SparseSymmetricPermutationProduct</div>
<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  : <span class="keyword">public</span> EigenBase<SparseSymmetricPermutationProduct<MatrixType,UpLo> ></div>
<div class="line"><a name="l00467"></a><span class="lineno"> 467</span> {</div>
<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::Scalar Scalar;</div>
<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::Index Index;</div>
<div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  <span class="keyword">typedef</span> PermutationMatrix<Dynamic,Dynamic,Index> Perm;</div>
<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  <span class="keyword">typedef</span> Matrix<Index,Dynamic,1> VectorI;</div>
<div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::Nested MatrixTypeNested;</div>
<div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::remove_all<MatrixTypeNested>::type _MatrixTypeNested;</div>
<div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  </div>
<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  SparseSymmetricPermutationProduct(<span class="keyword">const</span> MatrixType& mat, <span class="keyword">const</span> Perm& perm)</div>
<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  : m_matrix(mat), m_perm(perm)</div>
<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  {}</div>
<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  </div>
<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <span class="keyword">inline</span> Index rows()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_matrix.rows(); }</div>
<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <span class="keyword">inline</span> Index cols()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_matrix.cols(); }</div>
<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  </div>
<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <span class="keyword">template</span><<span class="keyword">typename</span> DestScalar, <span class="keywordtype">int</span> Options, <span class="keyword">typename</span> DstIndex></div>
<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <span class="keywordtype">void</span> evalTo(SparseMatrix<DestScalar,Options,DstIndex>& _dest)<span class="keyword"> const</span></div>
<div class="line"><a name="l00487"></a><span class="lineno"> 487</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00488"></a><span class="lineno"> 488</span> <span class="comment">// internal::permute_symm_to_fullsymm<UpLo>(m_matrix,_dest,m_perm.indices().data());</span></div>
<div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  SparseMatrix<DestScalar,(Options&RowMajor)==RowMajor ? ColMajor : RowMajor, DstIndex> tmp;</div>
<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  internal::permute_symm_to_fullsymm<UpLo>(m_matrix,tmp,m_perm.indices().data());</div>
<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  _dest = tmp;</div>
<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  }</div>
<div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  </div>
<div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <span class="keyword">template</span><<span class="keyword">typename</span> DestType,<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> DestUpLo> <span class="keywordtype">void</span> evalTo(SparseSelfAdjointView<DestType,DestUpLo>& dest)<span class="keyword"> const</span></div>
<div class="line"><a name="l00495"></a><span class="lineno"> 495</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  internal::permute_symm_to_symm<UpLo,DestUpLo>(m_matrix,dest.matrix(),m_perm.indices().data());</div>
<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  }</div>
<div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  </div>
<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  MatrixTypeNested m_matrix;</div>
<div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  <span class="keyword">const</span> Perm& m_perm;</div>
<div class="line"><a name="l00502"></a><span class="lineno"> 502</span> </div>
<div class="line"><a name="l00503"></a><span class="lineno"> 503</span> };</div>
<div class="line"><a name="l00504"></a><span class="lineno"> 504</span> </div>
<div class="line"><a name="l00505"></a><span class="lineno"> 505</span> } <span class="comment">// end namespace Eigen</span></div>
<div class="line"><a name="l00506"></a><span class="lineno"> 506</span> </div>
<div class="line"><a name="l00507"></a><span class="lineno"> 507</span> <span class="preprocessor">#endif // EIGEN_SPARSE_SELFADJOINTVIEW_H</span></div>
<div class="ttc" id="classEigen_1_1SparseSelfAdjointView_html_a6becf66c0294e516cbe73141c4276452"><div class="ttname"><a href="classEigen_1_1SparseSelfAdjointView.html#a6becf66c0294e516cbe73141c4276452">Eigen::SparseSelfAdjointView::operator*</a></div><div class="ttdeci">SparseSparseProduct< typename OtherDerived::PlainObject, OtherDerived > operator*(const SparseMatrixBase< OtherDerived > &rhs) const </div><div class="ttdef"><b>Definition:</b> SparseSelfAdjointView.h:79</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html">Eigen::SparseMatrix</a></div><div class="ttdoc">A versatible sparse matrix representation. </div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:85</div></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="classEigen_1_1SparseSelfAdjointView_html"><div class="ttname"><a href="classEigen_1_1SparseSelfAdjointView.html">Eigen::SparseSelfAdjointView</a></div><div class="ttdoc">Pseudo expression to manipulate a triangular sparse matrix as a selfadjoint matrix. </div><div class="ttdef"><b>Definition:</b> SparseSelfAdjointView.h:49</div></div>
<div class="ttc" id="classEigen_1_1SparseSelfAdjointView_html_a0085177e43effc252b357facf2ab6ce4"><div class="ttname"><a href="classEigen_1_1SparseSelfAdjointView.html#a0085177e43effc252b357facf2ab6ce4">Eigen::SparseSelfAdjointView::rankUpdate</a></div><div class="ttdeci">SparseSelfAdjointView & rankUpdate(const SparseMatrixBase< DerivedU > &u, const Scalar &alpha=Scalar(1))</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="structEigen_1_1EigenBase_html"><div class="ttname"><a href="structEigen_1_1EigenBase.html">Eigen::EigenBase</a></div><div class="ttdef"><b>Definition:</b> EigenBase.h:26</div></div>
<div class="ttc" id="classEigen_1_1PermutationMatrix_html"><div class="ttname"><a href="classEigen_1_1PermutationMatrix.html">Eigen::PermutationMatrix< Dynamic, Dynamic, Index ></a></div></div>
<div class="ttc" id="classEigen_1_1SparseSelfAdjointView_html_aabbbcb01be70dbe9cde68fa72ea5c252"><div class="ttname"><a href="classEigen_1_1SparseSelfAdjointView.html#aabbbcb01be70dbe9cde68fa72ea5c252">Eigen::SparseSelfAdjointView::operator*</a></div><div class="ttdeci">friend DenseTimeSparseSelfAdjointProduct< OtherDerived, MatrixType, UpLo > operator*(const MatrixBase< OtherDerived > &lhs, const SparseSelfAdjointView &rhs)</div><div class="ttdef"><b>Definition:</b> SparseSelfAdjointView.h:107</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrixBase_html"><div class="ttname"><a href="classEigen_1_1SparseMatrixBase.html">Eigen::SparseMatrixBase</a></div><div class="ttdoc">Base class of any sparse matrices or sparse expressions. </div><div class="ttdef"><b>Definition:</b> SparseMatrixBase.h:26</div></div>
<div class="ttc" id="group__enums_html_ggab59c1bec446b10af208f977a871d910bae70afef0d3ff7aca74e17e85ff6c9f2e"><div class="ttname"><a href="group__enums.html#ggab59c1bec446b10af208f977a871d910bae70afef0d3ff7aca74e17e85ff6c9f2e">Eigen::Upper</a></div><div class="ttdef"><b>Definition:</b> Constants.h:169</div></div>
<div class="ttc" id="classEigen_1_1SparseSelfAdjointView_html_a0a6190f7932927f85ef69f2f63d0c9c4"><div class="ttname"><a href="classEigen_1_1SparseSelfAdjointView.html#a0a6190f7932927f85ef69f2f63d0c9c4">Eigen::SparseSelfAdjointView::twistedBy</a></div><div class="ttdeci">SparseSymmetricPermutationProduct< _MatrixTypeNested, UpLo > twistedBy(const PermutationMatrix< Dynamic, Dynamic, Index > &perm) const </div><div class="ttdef"><b>Definition:</b> SparseSelfAdjointView.h:138</div></div>
<div class="ttc" id="structEigen_1_1EigenBase_html_aa84222add803ad7c9db07dd4dd91d5d9"><div class="ttname"><a href="structEigen_1_1EigenBase.html#aa84222add803ad7c9db07dd4dd91d5d9">Eigen::EigenBase::derived</a></div><div class="ttdeci">Derived & derived()</div><div class="ttdef"><b>Definition:</b> EigenBase.h:34</div></div>
<div class="ttc" id="group__enums_html_ggab59c1bec446b10af208f977a871d910baf886b397626076218462d53d50eb96bc"><div class="ttname"><a href="group__enums.html#ggab59c1bec446b10af208f977a871d910baf886b397626076218462d53d50eb96bc">Eigen::Lower</a></div><div class="ttdef"><b>Definition:</b> Constants.h:167</div></div>
<div class="ttc" id="classEigen_1_1DenseBase_html_a4d4873e91be950c079f067fa97fd5c40"><div class="ttname"><a href="classEigen_1_1DenseBase.html#a4d4873e91be950c079f067fa97fd5c40">Eigen::DenseBase::Index</a></div><div class="ttdeci">internal::traits< Derived >::Index Index</div><div class="ttdoc">The type of indices. </div><div class="ttdef"><b>Definition:</b> DenseBase.h:61</div></div>
<div class="ttc" id="classEigen_1_1SparseSelfAdjointView_html_a75bf70d2a0ed3334b4676132f98e677c"><div class="ttname"><a href="classEigen_1_1SparseSelfAdjointView.html#a75bf70d2a0ed3334b4676132f98e677c">Eigen::SparseSelfAdjointView::operator*</a></div><div class="ttdeci">friend SparseSparseProduct< OtherDerived, typename OtherDerived::PlainObject > operator*(const SparseMatrixBase< OtherDerived > &lhs, const SparseSelfAdjointView &rhs)</div><div class="ttdef"><b>Definition:</b> SparseSelfAdjointView.h:91</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 class="ttc" id="classEigen_1_1SparseSelfAdjointView_html_a33246b96f75f2d1d38f13ffbf1cfdde1"><div class="ttname"><a href="classEigen_1_1SparseSelfAdjointView.html#a33246b96f75f2d1d38f13ffbf1cfdde1">Eigen::SparseSelfAdjointView::operator*</a></div><div class="ttdeci">SparseSelfAdjointTimeDenseProduct< MatrixType, OtherDerived, UpLo > operator*(const MatrixBase< OtherDerived > &rhs) const </div><div class="ttdef"><b>Definition:</b> SparseSelfAdjointView.h:99</div></div>
<div class="ttc" id="classEigen_1_1Matrix_html"><div class="ttname"><a href="classEigen_1_1Matrix.html">Eigen::Matrix< Index, Dynamic, 1 ></a></div></div>
<div class="ttc" id="classEigen_1_1MatrixBase_html"><div class="ttname"><a href="classEigen_1_1MatrixBase.html">Eigen::MatrixBase</a></div><div class="ttdoc">Base class for all dense matrices, vectors, and expressions. </div><div class="ttdef"><b>Definition:</b> MatrixBase.h:48</div></div>
<div class="ttc" id="classEigen_1_1MatrixBase_html_a15b68c50126bd4212b7041d95743d729"><div class="ttname"><a href="classEigen_1_1MatrixBase.html#a15b68c50126bd4212b7041d95743d729">Eigen::MatrixBase::operator=</a></div><div class="ttdeci">Derived & operator=(const MatrixBase &other)</div><div class="ttdef"><b>Definition:</b> Assign.h:555</div></div>
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