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AccelerateSupport_8h_source.html
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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
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<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno"> 1</span><span class="preprocessor">#ifndef EIGEN_ACCELERATESUPPORT_H</span></div>
<div class="line"><a id="l00002" name="l00002"></a><span class="lineno"> 2</span><span class="preprocessor">#define EIGEN_ACCELERATESUPPORT_H</span></div>
<div class="line"><a id="l00003" name="l00003"></a><span class="lineno"> 3</span> </div>
<div class="line"><a id="l00004" name="l00004"></a><span class="lineno"> 4</span><span class="preprocessor">#include <Accelerate/Accelerate.h></span></div>
<div class="line"><a id="l00005" name="l00005"></a><span class="lineno"> 5</span> </div>
<div class="line"><a id="l00006" name="l00006"></a><span class="lineno"> 6</span><span class="preprocessor">#include <Eigen/Sparse></span></div>
<div class="line"><a id="l00007" name="l00007"></a><span class="lineno"> 7</span> </div>
<div class="line"><a id="l00008" name="l00008"></a><span class="lineno"> 8</span><span class="keyword">namespace </span><a class="code hl_namespace" href="namespaceEigen.html">Eigen</a> {</div>
<div class="line"><a id="l00009" name="l00009"></a><span class="lineno"> 9</span> </div>
<div class="line"><a id="l00010" name="l00010"></a><span class="lineno"> 10</span><span class="keyword">template</span> <<span class="keyword">typename</span> MatrixType_, <span class="keywordtype">int</span> UpLo_, SparseFactorization_t Solver_, <span class="keywordtype">bool</span> EnforceSquare_></div>
<div class="line"><a id="l00011" name="l00011"></a><span class="lineno"> 11</span><span class="keyword">class </span>AccelerateImpl;</div>
<div class="line"><a id="l00012" name="l00012"></a><span class="lineno"> 12</span> </div>
<div class="line"><a id="l00024" name="l00024"></a><span class="lineno"> 24</span><span class="keyword">template</span> <<span class="keyword">typename</span> MatrixType, <span class="keywordtype">int</span> UpLo = Lower></div>
<div class="line"><a id="l00025" name="l00025"></a><span class="lineno"> 25</span><span class="keyword">using </span><a class="code hl_class" href="classAccelerateLLT.html">AccelerateLLT</a> = AccelerateImpl<MatrixType, UpLo | Symmetric, SparseFactorizationCholesky, true>;</div>
<div class="line"><a id="l00026" name="l00026"></a><span class="lineno"> 26</span> </div>
<div class="line"><a id="l00038" name="l00038"></a><span class="lineno"> 38</span><span class="keyword">template</span> <<span class="keyword">typename</span> MatrixType, <span class="keywordtype">int</span> UpLo = Lower></div>
<div class="line"><a id="l00039" name="l00039"></a><span class="lineno"> 39</span><span class="keyword">using </span><a class="code hl_class" href="classAccelerateLDLT.html">AccelerateLDLT</a> = AccelerateImpl<MatrixType, UpLo | Symmetric, SparseFactorizationLDLT, true>;</div>
<div class="line"><a id="l00040" name="l00040"></a><span class="lineno"> 40</span> </div>
<div class="line"><a id="l00052" name="l00052"></a><span class="lineno"> 52</span><span class="keyword">template</span> <<span class="keyword">typename</span> MatrixType, <span class="keywordtype">int</span> UpLo = Lower></div>
<div class="line"><a id="l00053" name="l00053"></a><span class="lineno"> 53</span><span class="keyword">using </span><a class="code hl_class" href="classAccelerateLDLTUnpivoted.html">AccelerateLDLTUnpivoted</a> = AccelerateImpl<MatrixType, UpLo | Symmetric, SparseFactorizationLDLTUnpivoted, true>;</div>
<div class="line"><a id="l00054" name="l00054"></a><span class="lineno"> 54</span> </div>
<div class="line"><a id="l00066" name="l00066"></a><span class="lineno"> 66</span><span class="keyword">template</span> <<span class="keyword">typename</span> MatrixType, <span class="keywordtype">int</span> UpLo = Lower></div>
<div class="line"><a id="l00067" name="l00067"></a><span class="lineno"> 67</span><span class="keyword">using </span><a class="code hl_class" href="classAccelerateLDLTSBK.html">AccelerateLDLTSBK</a> = AccelerateImpl<MatrixType, UpLo | Symmetric, SparseFactorizationLDLTSBK, true>;</div>
<div class="line"><a id="l00068" name="l00068"></a><span class="lineno"> 68</span> </div>
<div class="line"><a id="l00080" name="l00080"></a><span class="lineno"> 80</span><span class="keyword">template</span> <<span class="keyword">typename</span> MatrixType, <span class="keywordtype">int</span> UpLo = Lower></div>
<div class="line"><a id="l00081" name="l00081"></a><span class="lineno"> 81</span><span class="keyword">using </span><a class="code hl_class" href="classAccelerateLDLTTPP.html">AccelerateLDLTTPP</a> = AccelerateImpl<MatrixType, UpLo | Symmetric, SparseFactorizationLDLTTPP, true>;</div>
<div class="line"><a id="l00082" name="l00082"></a><span class="lineno"> 82</span> </div>
<div class="line"><a id="l00093" name="l00093"></a><span class="lineno"> 93</span><span class="keyword">template</span> <<span class="keyword">typename</span> MatrixType></div>
<div class="line"><a id="l00094" name="l00094"></a><span class="lineno"> 94</span><span class="keyword">using </span><a class="code hl_class" href="classAccelerateQR.html">AccelerateQR</a> = AccelerateImpl<MatrixType, 0, SparseFactorizationQR, false>;</div>
<div class="line"><a id="l00095" name="l00095"></a><span class="lineno"> 95</span> </div>
<div class="line"><a id="l00106" name="l00106"></a><span class="lineno"> 106</span><span class="keyword">template</span> <<span class="keyword">typename</span> MatrixType></div>
<div class="line"><a id="l00107" name="l00107"></a><span class="lineno"> 107</span><span class="keyword">using </span><a class="code hl_class" href="classAccelerateCholeskyAtA.html">AccelerateCholeskyAtA</a> = AccelerateImpl<MatrixType, 0, SparseFactorizationCholeskyAtA, false>;</div>
<div class="line"><a id="l00108" name="l00108"></a><span class="lineno"> 108</span> </div>
<div class="line"><a id="l00109" name="l00109"></a><span class="lineno"> 109</span><span class="keyword">namespace </span>internal {</div>
<div class="line"><a id="l00110" name="l00110"></a><span class="lineno"> 110</span><span class="keyword">template</span> <<span class="keyword">typename</span> T></div>
<div class="line"><a id="l00111" name="l00111"></a><span class="lineno"> 111</span><span class="keyword">struct </span>AccelFactorizationDeleter {</div>
<div class="line"><a id="l00112" name="l00112"></a><span class="lineno"> 112</span> <span class="keywordtype">void</span> operator()(T* sym) {</div>
<div class="line"><a id="l00113" name="l00113"></a><span class="lineno"> 113</span> <span class="keywordflow">if</span> (sym) {</div>
<div class="line"><a id="l00114" name="l00114"></a><span class="lineno"> 114</span> SparseCleanup(*sym);</div>
<div class="line"><a id="l00115" name="l00115"></a><span class="lineno"> 115</span> <span class="keyword">delete</span> sym;</div>
<div class="line"><a id="l00116" name="l00116"></a><span class="lineno"> 116</span> sym = <span class="keyword">nullptr</span>;</div>
<div class="line"><a id="l00117" name="l00117"></a><span class="lineno"> 117</span> }</div>
<div class="line"><a id="l00118" name="l00118"></a><span class="lineno"> 118</span> }</div>
<div class="line"><a id="l00119" name="l00119"></a><span class="lineno"> 119</span>};</div>
<div class="line"><a id="l00120" name="l00120"></a><span class="lineno"> 120</span> </div>
<div class="line"><a id="l00121" name="l00121"></a><span class="lineno"> 121</span><span class="keyword">template</span> <<span class="keyword">typename</span> DenseVecT, <span class="keyword">typename</span> DenseMatT, <span class="keyword">typename</span> SparseMatT, <span class="keyword">typename</span> NumFactT></div>
<div class="line"><a id="l00122" name="l00122"></a><span class="lineno"> 122</span><span class="keyword">struct </span>SparseTypesTraitBase {</div>
<div class="line"><a id="l00123" name="l00123"></a><span class="lineno"> 123</span> <span class="keyword">typedef</span> DenseVecT AccelDenseVector;</div>
<div class="line"><a id="l00124" name="l00124"></a><span class="lineno"> 124</span> <span class="keyword">typedef</span> DenseMatT AccelDenseMatrix;</div>
<div class="line"><a id="l00125" name="l00125"></a><span class="lineno"> 125</span> <span class="keyword">typedef</span> SparseMatT AccelSparseMatrix;</div>
<div class="line"><a id="l00126" name="l00126"></a><span class="lineno"> 126</span> </div>
<div class="line"><a id="l00127" name="l00127"></a><span class="lineno"> 127</span> <span class="keyword">typedef</span> SparseOpaqueSymbolicFactorization SymbolicFactorization;</div>
<div class="line"><a id="l00128" name="l00128"></a><span class="lineno"> 128</span> <span class="keyword">typedef</span> NumFactT NumericFactorization;</div>
<div class="line"><a id="l00129" name="l00129"></a><span class="lineno"> 129</span> </div>
<div class="line"><a id="l00130" name="l00130"></a><span class="lineno"> 130</span> <span class="keyword">typedef</span> AccelFactorizationDeleter<SymbolicFactorization> SymbolicFactorizationDeleter;</div>
<div class="line"><a id="l00131" name="l00131"></a><span class="lineno"> 131</span> <span class="keyword">typedef</span> AccelFactorizationDeleter<NumericFactorization> NumericFactorizationDeleter;</div>
<div class="line"><a id="l00132" name="l00132"></a><span class="lineno"> 132</span>};</div>
<div class="line"><a id="l00133" name="l00133"></a><span class="lineno"> 133</span> </div>
<div class="line"><a id="l00134" name="l00134"></a><span class="lineno"> 134</span><span class="keyword">template</span> <<span class="keyword">typename</span> Scalar></div>
<div class="line"><a id="l00135" name="l00135"></a><span class="lineno"> 135</span><span class="keyword">struct </span>SparseTypesTrait {};</div>
<div class="line"><a id="l00136" name="l00136"></a><span class="lineno"> 136</span> </div>
<div class="line"><a id="l00137" name="l00137"></a><span class="lineno"> 137</span><span class="keyword">template</span> <></div>
<div class="line"><a id="l00138" name="l00138"></a><span class="lineno"> 138</span><span class="keyword">struct </span>SparseTypesTrait<double> : SparseTypesTraitBase<DenseVector_Double, DenseMatrix_Double, SparseMatrix_Double,</div>
<div class="line"><a id="l00139" name="l00139"></a><span class="lineno"> 139</span> SparseOpaqueFactorization_Double> {};</div>
<div class="line"><a id="l00140" name="l00140"></a><span class="lineno"> 140</span> </div>
<div class="line"><a id="l00141" name="l00141"></a><span class="lineno"> 141</span><span class="keyword">template</span> <></div>
<div class="line"><a id="l00142" name="l00142"></a><span class="lineno"> 142</span><span class="keyword">struct </span>SparseTypesTrait<float></div>
<div class="line"><a id="l00143" name="l00143"></a><span class="lineno"> 143</span> : SparseTypesTraitBase<DenseVector_Float, DenseMatrix_Float, SparseMatrix_Float, SparseOpaqueFactorization_Float> {</div>
<div class="line"><a id="l00144" name="l00144"></a><span class="lineno"> 144</span>};</div>
<div class="line"><a id="l00145" name="l00145"></a><span class="lineno"> 145</span> </div>
<div class="line"><a id="l00146" name="l00146"></a><span class="lineno"> 146</span>} <span class="comment">// end namespace internal</span></div>
<div class="line"><a id="l00147" name="l00147"></a><span class="lineno"> 147</span> </div>
<div class="line"><a id="l00148" name="l00148"></a><span class="lineno"> 148</span><span class="keyword">template</span> <<span class="keyword">typename</span> MatrixType_, <span class="keywordtype">int</span> UpLo_, SparseFactorization_t Solver_, <span class="keywordtype">bool</span> EnforceSquare_></div>
<div class="line"><a id="l00149" name="l00149"></a><span class="lineno"> 149</span><span class="keyword">class </span>AccelerateImpl : <span class="keyword">public</span> SparseSolverBase<AccelerateImpl<MatrixType_, UpLo_, Solver_, EnforceSquare_> > {</div>
<div class="line"><a id="l00150" name="l00150"></a><span class="lineno"> 150</span> <span class="keyword">protected</span>:</div>
<div class="line"><a id="l00151" name="l00151"></a><span class="lineno"> 151</span> <span class="keyword">using </span>Base = SparseSolverBase<AccelerateImpl>;</div>
<div class="line"><a id="l00152" name="l00152"></a><span class="lineno"> 152</span> <span class="keyword">using </span>Base::derived;</div>
<div class="line"><a id="l00153" name="l00153"></a><span class="lineno"> 153</span> <span class="keyword">using </span>Base::m_isInitialized;</div>
<div class="line"><a id="l00154" name="l00154"></a><span class="lineno"> 154</span> </div>
<div class="line"><a id="l00155" name="l00155"></a><span class="lineno"> 155</span> <span class="keyword">public</span>:</div>
<div class="line"><a id="l00156" name="l00156"></a><span class="lineno"> 156</span> <span class="keyword">using </span>Base::_solve_impl;</div>
<div class="line"><a id="l00157" name="l00157"></a><span class="lineno"> 157</span> </div>
<div class="line"><a id="l00158" name="l00158"></a><span class="lineno"> 158</span> <span class="keyword">typedef</span> MatrixType_ MatrixType;</div>
<div class="line"><a id="l00159" name="l00159"></a><span class="lineno"> 159</span> <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::Scalar Scalar;</div>
<div class="line"><a id="l00160" name="l00160"></a><span class="lineno"> 160</span> <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::StorageIndex StorageIndex;</div>
<div class="line"><a id="l00161" name="l00161"></a><span class="lineno"> 161</span> <span class="keyword">enum</span> { ColsAtCompileTime = <a class="code hl_variable" href="namespaceEigen.html#ad81fa7195215a0ce30017dfac309f0b2">Dynamic</a>, MaxColsAtCompileTime = <a class="code hl_variable" href="namespaceEigen.html#ad81fa7195215a0ce30017dfac309f0b2">Dynamic</a> };</div>
<div class="line"><a id="l00162" name="l00162"></a><span class="lineno"> 162</span> <span class="keyword">enum</span> { UpLo = UpLo_ };</div>
<div class="line"><a id="l00163" name="l00163"></a><span class="lineno"> 163</span> </div>
<div class="line"><a id="l00164" name="l00164"></a><span class="lineno"> 164</span> <span class="keyword">using </span>AccelDenseVector = <span class="keyword">typename</span> internal::SparseTypesTrait<Scalar>::AccelDenseVector;</div>
<div class="line"><a id="l00165" name="l00165"></a><span class="lineno"> 165</span> <span class="keyword">using </span>AccelDenseMatrix = <span class="keyword">typename</span> internal::SparseTypesTrait<Scalar>::AccelDenseMatrix;</div>
<div class="line"><a id="l00166" name="l00166"></a><span class="lineno"> 166</span> <span class="keyword">using </span>AccelSparseMatrix = <span class="keyword">typename</span> internal::SparseTypesTrait<Scalar>::AccelSparseMatrix;</div>
<div class="line"><a id="l00167" name="l00167"></a><span class="lineno"> 167</span> <span class="keyword">using </span>SymbolicFactorization = <span class="keyword">typename</span> internal::SparseTypesTrait<Scalar>::SymbolicFactorization;</div>
<div class="line"><a id="l00168" name="l00168"></a><span class="lineno"> 168</span> <span class="keyword">using </span>NumericFactorization = <span class="keyword">typename</span> internal::SparseTypesTrait<Scalar>::NumericFactorization;</div>
<div class="line"><a id="l00169" name="l00169"></a><span class="lineno"> 169</span> <span class="keyword">using </span>SymbolicFactorizationDeleter = <span class="keyword">typename</span> internal::SparseTypesTrait<Scalar>::SymbolicFactorizationDeleter;</div>
<div class="line"><a id="l00170" name="l00170"></a><span class="lineno"> 170</span> <span class="keyword">using </span>NumericFactorizationDeleter = <span class="keyword">typename</span> internal::SparseTypesTrait<Scalar>::NumericFactorizationDeleter;</div>
<div class="line"><a id="l00171" name="l00171"></a><span class="lineno"> 171</span> </div>
<div class="line"><a id="l00172" name="l00172"></a><span class="lineno"> 172</span> AccelerateImpl() {</div>
<div class="line"><a id="l00173" name="l00173"></a><span class="lineno"> 173</span> m_isInitialized = <span class="keyword">false</span>;</div>
<div class="line"><a id="l00174" name="l00174"></a><span class="lineno"> 174</span> </div>
<div class="line"><a id="l00175" name="l00175"></a><span class="lineno"> 175</span> <span class="keyword">auto</span> check_flag_set = [](<span class="keywordtype">int</span> value, <span class="keywordtype">int</span> flag) { <span class="keywordflow">return</span> ((value & flag) == flag); };</div>
<div class="line"><a id="l00176" name="l00176"></a><span class="lineno"> 176</span> </div>
<div class="line"><a id="l00177" name="l00177"></a><span class="lineno"> 177</span> <span class="keywordflow">if</span> (check_flag_set(UpLo_, <a class="code hl_enumvalue" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdad5381b2d1c8973a08303c94e7da02333">Symmetric</a>)) {</div>
<div class="line"><a id="l00178" name="l00178"></a><span class="lineno"> 178</span> m_sparseKind = SparseSymmetric;</div>
<div class="line"><a id="l00179" name="l00179"></a><span class="lineno"> 179</span> m_triType = (UpLo_ & <a class="code hl_enumvalue" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdaf581029282d421eee5aae14238c6f749">Lower</a>) ? SparseLowerTriangle : SparseUpperTriangle;</div>
<div class="line"><a id="l00180" name="l00180"></a><span class="lineno"> 180</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (check_flag_set(UpLo_, <a class="code hl_enumvalue" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cda8f40b928c10a71ba03e5f75ad2a72fda">UnitLower</a>)) {</div>
<div class="line"><a id="l00181" name="l00181"></a><span class="lineno"> 181</span> m_sparseKind = SparseUnitTriangular;</div>
<div class="line"><a id="l00182" name="l00182"></a><span class="lineno"> 182</span> m_triType = SparseLowerTriangle;</div>
<div class="line"><a id="l00183" name="l00183"></a><span class="lineno"> 183</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (check_flag_set(UpLo_, <a class="code hl_enumvalue" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdadd28224d7ea92689930be73c1b50b0ad">UnitUpper</a>)) {</div>
<div class="line"><a id="l00184" name="l00184"></a><span class="lineno"> 184</span> m_sparseKind = SparseUnitTriangular;</div>
<div class="line"><a id="l00185" name="l00185"></a><span class="lineno"> 185</span> m_triType = SparseUpperTriangle;</div>
<div class="line"><a id="l00186" name="l00186"></a><span class="lineno"> 186</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (check_flag_set(UpLo_, <a class="code hl_enumvalue" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cda2424988b6fca98be70b595632753ba81">StrictlyLower</a>)) {</div>
<div class="line"><a id="l00187" name="l00187"></a><span class="lineno"> 187</span> m_sparseKind = SparseTriangular;</div>
<div class="line"><a id="l00188" name="l00188"></a><span class="lineno"> 188</span> m_triType = SparseLowerTriangle;</div>
<div class="line"><a id="l00189" name="l00189"></a><span class="lineno"> 189</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (check_flag_set(UpLo_, <a class="code hl_enumvalue" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cda7b37877e0b9b0df28c9c2b669a633265">StrictlyUpper</a>)) {</div>
<div class="line"><a id="l00190" name="l00190"></a><span class="lineno"> 190</span> m_sparseKind = SparseTriangular;</div>
<div class="line"><a id="l00191" name="l00191"></a><span class="lineno"> 191</span> m_triType = SparseUpperTriangle;</div>
<div class="line"><a id="l00192" name="l00192"></a><span class="lineno"> 192</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (check_flag_set(UpLo_, <a class="code hl_enumvalue" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdaf581029282d421eee5aae14238c6f749">Lower</a>)) {</div>
<div class="line"><a id="l00193" name="l00193"></a><span class="lineno"> 193</span> m_sparseKind = SparseTriangular;</div>
<div class="line"><a id="l00194" name="l00194"></a><span class="lineno"> 194</span> m_triType = SparseLowerTriangle;</div>
<div class="line"><a id="l00195" name="l00195"></a><span class="lineno"> 195</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (check_flag_set(UpLo_, <a class="code hl_enumvalue" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdafca2ccebb604f171656deb53e8c083c1">Upper</a>)) {</div>
<div class="line"><a id="l00196" name="l00196"></a><span class="lineno"> 196</span> m_sparseKind = SparseTriangular;</div>
<div class="line"><a id="l00197" name="l00197"></a><span class="lineno"> 197</span> m_triType = SparseUpperTriangle;</div>
<div class="line"><a id="l00198" name="l00198"></a><span class="lineno"> 198</span> } <span class="keywordflow">else</span> {</div>
<div class="line"><a id="l00199" name="l00199"></a><span class="lineno"> 199</span> m_sparseKind = SparseOrdinary;</div>
<div class="line"><a id="l00200" name="l00200"></a><span class="lineno"> 200</span> m_triType = (UpLo_ & <a class="code hl_enumvalue" href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdaf581029282d421eee5aae14238c6f749">Lower</a>) ? SparseLowerTriangle : SparseUpperTriangle;</div>
<div class="line"><a id="l00201" name="l00201"></a><span class="lineno"> 201</span> }</div>
<div class="line"><a id="l00202" name="l00202"></a><span class="lineno"> 202</span> </div>
<div class="line"><a id="l00203" name="l00203"></a><span class="lineno"> 203</span> m_order = SparseOrderDefault;</div>
<div class="line"><a id="l00204" name="l00204"></a><span class="lineno"> 204</span> }</div>
<div class="line"><a id="l00205" name="l00205"></a><span class="lineno"> 205</span> </div>
<div class="line"><a id="l00206" name="l00206"></a><span class="lineno"> 206</span> <span class="keyword">explicit</span> AccelerateImpl(<span class="keyword">const</span> MatrixType& matrix) : AccelerateImpl() { compute(matrix); }</div>
<div class="line"><a id="l00207" name="l00207"></a><span class="lineno"> 207</span> </div>
<div class="line"><a id="l00208" name="l00208"></a><span class="lineno"> 208</span> ~AccelerateImpl() {}</div>
<div class="line"><a id="l00209" name="l00209"></a><span class="lineno"> 209</span> </div>
<div class="line"><a id="l00210" name="l00210"></a><span class="lineno"> 210</span> <span class="keyword">inline</span> <a class="code hl_typedef" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> cols()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_nCols; }</div>
<div class="line"><a id="l00211" name="l00211"></a><span class="lineno"> 211</span> <span class="keyword">inline</span> <a class="code hl_typedef" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> rows()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_nRows; }</div>
<div class="line"><a id="l00212" name="l00212"></a><span class="lineno"> 212</span> </div>
<div class="line"><a id="l00213" name="l00213"></a><span class="lineno"> 213</span> <a class="code hl_enumeration" href="group__enums.html#ga85fad7b87587764e5cf6b513a9e0ee5e">ComputationInfo</a> info()<span class="keyword"> const </span>{</div>
<div class="line"><a id="l00214" name="l00214"></a><span class="lineno"> 214</span> eigen_assert(m_isInitialized && <span class="stringliteral">"Decomposition is not initialized."</span>);</div>
<div class="line"><a id="l00215" name="l00215"></a><span class="lineno"> 215</span> <span class="keywordflow">return</span> m_info;</div>
<div class="line"><a id="l00216" name="l00216"></a><span class="lineno"> 216</span> }</div>
<div class="line"><a id="l00217" name="l00217"></a><span class="lineno"> 217</span> </div>
<div class="line"><a id="l00218" name="l00218"></a><span class="lineno"> 218</span> <span class="keywordtype">void</span> analyzePattern(<span class="keyword">const</span> MatrixType& matrix);</div>
<div class="line"><a id="l00219" name="l00219"></a><span class="lineno"> 219</span> </div>
<div class="line"><a id="l00220" name="l00220"></a><span class="lineno"> 220</span> <span class="keywordtype">void</span> factorize(<span class="keyword">const</span> MatrixType& matrix);</div>
<div class="line"><a id="l00221" name="l00221"></a><span class="lineno"> 221</span> </div>
<div class="line"><a id="l00222" name="l00222"></a><span class="lineno"> 222</span> <span class="keywordtype">void</span> compute(<span class="keyword">const</span> MatrixType& matrix);</div>
<div class="line"><a id="l00223" name="l00223"></a><span class="lineno"> 223</span> </div>
<div class="line"><a id="l00224" name="l00224"></a><span class="lineno"> 224</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Dest></div>
<div class="line"><a id="l00225" name="l00225"></a><span class="lineno"> 225</span> <span class="keywordtype">void</span> _solve_impl(<span class="keyword">const</span> MatrixBase<Rhs>& b, MatrixBase<Dest>& dest) <span class="keyword">const</span>;</div>
<div class="line"><a id="l00226" name="l00226"></a><span class="lineno"> 226</span> </div>
<div class="line"><a id="l00228" name="l00228"></a><span class="lineno"> 228</span> <span class="keywordtype">void</span> setOrder(SparseOrder_t order) { m_order = order; }</div>
<div class="line"><a id="l00229" name="l00229"></a><span class="lineno"> 229</span> </div>
<div class="line"><a id="l00230" name="l00230"></a><span class="lineno"> 230</span> <span class="keyword">private</span>:</div>
<div class="line"><a id="l00231" name="l00231"></a><span class="lineno"> 231</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div>
<div class="line"><a id="l00232" name="l00232"></a><span class="lineno"> 232</span> <span class="keywordtype">void</span> buildAccelSparseMatrix(<span class="keyword">const</span> SparseMatrix<T>& a, AccelSparseMatrix& A, std::vector<long>& columnStarts) {</div>
<div class="line"><a id="l00233" name="l00233"></a><span class="lineno"> 233</span> <span class="keyword">const</span> <a class="code hl_typedef" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> nColumnsStarts = a.cols() + 1;</div>
<div class="line"><a id="l00234" name="l00234"></a><span class="lineno"> 234</span> </div>
<div class="line"><a id="l00235" name="l00235"></a><span class="lineno"> 235</span> columnStarts.resize(nColumnsStarts);</div>
<div class="line"><a id="l00236" name="l00236"></a><span class="lineno"> 236</span> </div>
<div class="line"><a id="l00237" name="l00237"></a><span class="lineno"> 237</span> <span class="keywordflow">for</span> (<a class="code hl_typedef" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> i = 0; i < nColumnsStarts; i++) columnStarts[i] = a.outerIndexPtr()[i];</div>
<div class="line"><a id="l00238" name="l00238"></a><span class="lineno"> 238</span> </div>
<div class="line"><a id="l00239" name="l00239"></a><span class="lineno"> 239</span> SparseAttributes_t attributes{};</div>
<div class="line"><a id="l00240" name="l00240"></a><span class="lineno"> 240</span> attributes.transpose = <span class="keyword">false</span>;</div>
<div class="line"><a id="l00241" name="l00241"></a><span class="lineno"> 241</span> attributes.triangle = m_triType;</div>
<div class="line"><a id="l00242" name="l00242"></a><span class="lineno"> 242</span> attributes.kind = m_sparseKind;</div>
<div class="line"><a id="l00243" name="l00243"></a><span class="lineno"> 243</span> </div>
<div class="line"><a id="l00244" name="l00244"></a><span class="lineno"> 244</span> SparseMatrixStructure structure{};</div>
<div class="line"><a id="l00245" name="l00245"></a><span class="lineno"> 245</span> structure.attributes = attributes;</div>
<div class="line"><a id="l00246" name="l00246"></a><span class="lineno"> 246</span> structure.rowCount = <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(a.rows());</div>
<div class="line"><a id="l00247" name="l00247"></a><span class="lineno"> 247</span> structure.columnCount = <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(a.cols());</div>
<div class="line"><a id="l00248" name="l00248"></a><span class="lineno"> 248</span> structure.blockSize = 1;</div>
<div class="line"><a id="l00249" name="l00249"></a><span class="lineno"> 249</span> structure.columnStarts = columnStarts.data();</div>
<div class="line"><a id="l00250" name="l00250"></a><span class="lineno"> 250</span> structure.rowIndices = <span class="keyword">const_cast<</span><span class="keywordtype">int</span>*<span class="keyword">></span>(a.innerIndexPtr());</div>
<div class="line"><a id="l00251" name="l00251"></a><span class="lineno"> 251</span> </div>
<div class="line"><a id="l00252" name="l00252"></a><span class="lineno"> 252</span> A.structure = structure;</div>
<div class="line"><a id="l00253" name="l00253"></a><span class="lineno"> 253</span> A.data = <span class="keyword">const_cast<</span>T*<span class="keyword">></span>(a.valuePtr());</div>
<div class="line"><a id="l00254" name="l00254"></a><span class="lineno"> 254</span> }</div>
<div class="line"><a id="l00255" name="l00255"></a><span class="lineno"> 255</span> </div>
<div class="line"><a id="l00256" name="l00256"></a><span class="lineno"> 256</span> <span class="keywordtype">void</span> doAnalysis(AccelSparseMatrix& A) {</div>
<div class="line"><a id="l00257" name="l00257"></a><span class="lineno"> 257</span> m_numericFactorization.reset(<span class="keyword">nullptr</span>);</div>
<div class="line"><a id="l00258" name="l00258"></a><span class="lineno"> 258</span> </div>
<div class="line"><a id="l00259" name="l00259"></a><span class="lineno"> 259</span> SparseSymbolicFactorOptions opts{};</div>
<div class="line"><a id="l00260" name="l00260"></a><span class="lineno"> 260</span> opts.control = SparseDefaultControl;</div>
<div class="line"><a id="l00261" name="l00261"></a><span class="lineno"> 261</span> opts.orderMethod = m_order;</div>
<div class="line"><a id="l00262" name="l00262"></a><span class="lineno"> 262</span> opts.order = <span class="keyword">nullptr</span>;</div>
<div class="line"><a id="l00263" name="l00263"></a><span class="lineno"> 263</span> opts.ignoreRowsAndColumns = <span class="keyword">nullptr</span>;</div>
<div class="line"><a id="l00264" name="l00264"></a><span class="lineno"> 264</span> opts.malloc = malloc;</div>
<div class="line"><a id="l00265" name="l00265"></a><span class="lineno"> 265</span> opts.free = free;</div>
<div class="line"><a id="l00266" name="l00266"></a><span class="lineno"> 266</span> opts.reportError = <span class="keyword">nullptr</span>;</div>
<div class="line"><a id="l00267" name="l00267"></a><span class="lineno"> 267</span> </div>
<div class="line"><a id="l00268" name="l00268"></a><span class="lineno"> 268</span> m_symbolicFactorization.reset(<span class="keyword">new</span> SymbolicFactorization(SparseFactor(Solver_, A.structure, opts)));</div>
<div class="line"><a id="l00269" name="l00269"></a><span class="lineno"> 269</span> </div>
<div class="line"><a id="l00270" name="l00270"></a><span class="lineno"> 270</span> SparseStatus_t status = m_symbolicFactorization->status;</div>
<div class="line"><a id="l00271" name="l00271"></a><span class="lineno"> 271</span> </div>
<div class="line"><a id="l00272" name="l00272"></a><span class="lineno"> 272</span> updateInfoStatus(status);</div>
<div class="line"><a id="l00273" name="l00273"></a><span class="lineno"> 273</span> </div>
<div class="line"><a id="l00274" name="l00274"></a><span class="lineno"> 274</span> <span class="keywordflow">if</span> (status != SparseStatusOK) m_symbolicFactorization.reset(<span class="keyword">nullptr</span>);</div>
<div class="line"><a id="l00275" name="l00275"></a><span class="lineno"> 275</span> }</div>
<div class="line"><a id="l00276" name="l00276"></a><span class="lineno"> 276</span> </div>
<div class="line"><a id="l00277" name="l00277"></a><span class="lineno"> 277</span> <span class="keywordtype">void</span> doFactorization(AccelSparseMatrix& A) {</div>
<div class="line"><a id="l00278" name="l00278"></a><span class="lineno"> 278</span> SparseStatus_t status = SparseStatusReleased;</div>
<div class="line"><a id="l00279" name="l00279"></a><span class="lineno"> 279</span> </div>
<div class="line"><a id="l00280" name="l00280"></a><span class="lineno"> 280</span> <span class="keywordflow">if</span> (m_symbolicFactorization) {</div>
<div class="line"><a id="l00281" name="l00281"></a><span class="lineno"> 281</span> m_numericFactorization.reset(<span class="keyword">new</span> NumericFactorization(SparseFactor(*m_symbolicFactorization, A)));</div>
<div class="line"><a id="l00282" name="l00282"></a><span class="lineno"> 282</span> </div>
<div class="line"><a id="l00283" name="l00283"></a><span class="lineno"> 283</span> status = m_numericFactorization->status;</div>
<div class="line"><a id="l00284" name="l00284"></a><span class="lineno"> 284</span> </div>
<div class="line"><a id="l00285" name="l00285"></a><span class="lineno"> 285</span> <span class="keywordflow">if</span> (status != SparseStatusOK) m_numericFactorization.reset(<span class="keyword">nullptr</span>);</div>
<div class="line"><a id="l00286" name="l00286"></a><span class="lineno"> 286</span> }</div>
<div class="line"><a id="l00287" name="l00287"></a><span class="lineno"> 287</span> </div>
<div class="line"><a id="l00288" name="l00288"></a><span class="lineno"> 288</span> updateInfoStatus(status);</div>
<div class="line"><a id="l00289" name="l00289"></a><span class="lineno"> 289</span> }</div>
<div class="line"><a id="l00290" name="l00290"></a><span class="lineno"> 290</span> </div>
<div class="line"><a id="l00291" name="l00291"></a><span class="lineno"> 291</span> <span class="keyword">protected</span>:</div>
<div class="line"><a id="l00292" name="l00292"></a><span class="lineno"> 292</span> <span class="keywordtype">void</span> updateInfoStatus(SparseStatus_t status)<span class="keyword"> const </span>{</div>
<div class="line"><a id="l00293" name="l00293"></a><span class="lineno"> 293</span> <span class="keywordflow">switch</span> (status) {</div>
<div class="line"><a id="l00294" name="l00294"></a><span class="lineno"> 294</span> <span class="keywordflow">case</span> SparseStatusOK:</div>
<div class="line"><a id="l00295" name="l00295"></a><span class="lineno"> 295</span> m_info = <a class="code hl_enumvalue" href="group__enums.html#gga85fad7b87587764e5cf6b513a9e0ee5ea671a2aeb0f527802806a441d58a80fcf">Success</a>;</div>
<div class="line"><a id="l00296" name="l00296"></a><span class="lineno"> 296</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00297" name="l00297"></a><span class="lineno"> 297</span> <span class="keywordflow">case</span> SparseFactorizationFailed:</div>
<div class="line"><a id="l00298" name="l00298"></a><span class="lineno"> 298</span> <span class="keywordflow">case</span> SparseMatrixIsSingular:</div>
<div class="line"><a id="l00299" name="l00299"></a><span class="lineno"> 299</span> m_info = <a class="code hl_enumvalue" href="group__enums.html#gga85fad7b87587764e5cf6b513a9e0ee5ea1c6e20706575a629b27a105f07f1883b">NumericalIssue</a>;</div>
<div class="line"><a id="l00300" name="l00300"></a><span class="lineno"> 300</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00301" name="l00301"></a><span class="lineno"> 301</span> <span class="keywordflow">case</span> SparseInternalError:</div>
<div class="line"><a id="l00302" name="l00302"></a><span class="lineno"> 302</span> <span class="keywordflow">case</span> SparseParameterError:</div>
<div class="line"><a id="l00303" name="l00303"></a><span class="lineno"> 303</span> <span class="keywordflow">case</span> SparseStatusReleased:</div>
<div class="line"><a id="l00304" name="l00304"></a><span class="lineno"> 304</span> <span class="keywordflow">default</span>:</div>
<div class="line"><a id="l00305" name="l00305"></a><span class="lineno"> 305</span> m_info = <a class="code hl_enumvalue" href="group__enums.html#gga85fad7b87587764e5cf6b513a9e0ee5ea580b2a3cafe585691e789f768fb729bf">InvalidInput</a>;</div>
<div class="line"><a id="l00306" name="l00306"></a><span class="lineno"> 306</span> <span class="keywordflow">break</span>;</div>
<div class="line"><a id="l00307" name="l00307"></a><span class="lineno"> 307</span> }</div>
<div class="line"><a id="l00308" name="l00308"></a><span class="lineno"> 308</span> }</div>
<div class="line"><a id="l00309" name="l00309"></a><span class="lineno"> 309</span> </div>
<div class="line"><a id="l00310" name="l00310"></a><span class="lineno"> 310</span> <span class="keyword">mutable</span> <a class="code hl_enumeration" href="group__enums.html#ga85fad7b87587764e5cf6b513a9e0ee5e">ComputationInfo</a> m_info;</div>
<div class="line"><a id="l00311" name="l00311"></a><span class="lineno"> 311</span> <a class="code hl_typedef" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> m_nRows, m_nCols;</div>
<div class="line"><a id="l00312" name="l00312"></a><span class="lineno"> 312</span> std::unique_ptr<SymbolicFactorization, SymbolicFactorizationDeleter> m_symbolicFactorization;</div>
<div class="line"><a id="l00313" name="l00313"></a><span class="lineno"> 313</span> std::unique_ptr<NumericFactorization, NumericFactorizationDeleter> m_numericFactorization;</div>
<div class="line"><a id="l00314" name="l00314"></a><span class="lineno"> 314</span> SparseKind_t m_sparseKind;</div>
<div class="line"><a id="l00315" name="l00315"></a><span class="lineno"> 315</span> SparseTriangle_t m_triType;</div>
<div class="line"><a id="l00316" name="l00316"></a><span class="lineno"> 316</span> SparseOrder_t m_order;</div>
<div class="line"><a id="l00317" name="l00317"></a><span class="lineno"> 317</span>};</div>
<div class="line"><a id="l00318" name="l00318"></a><span class="lineno"> 318</span> </div>
<div class="line"><a id="l00320" name="l00320"></a><span class="lineno"> 320</span><span class="keyword">template</span> <<span class="keyword">typename</span> MatrixType_, <span class="keywordtype">int</span> UpLo_, SparseFactorization_t Solver_, <span class="keywordtype">bool</span> EnforceSquare_></div>
<div class="line"><a id="l00321" name="l00321"></a><span class="lineno"> 321</span><span class="keywordtype">void</span> AccelerateImpl<MatrixType_, UpLo_, Solver_, EnforceSquare_>::compute(<span class="keyword">const</span> MatrixType& a) {</div>
<div class="line"><a id="l00322" name="l00322"></a><span class="lineno"> 322</span> <span class="keywordflow">if</span> (EnforceSquare_) eigen_assert(a.rows() == a.cols());</div>
<div class="line"><a id="l00323" name="l00323"></a><span class="lineno"> 323</span> </div>
<div class="line"><a id="l00324" name="l00324"></a><span class="lineno"> 324</span> m_nRows = a.rows();</div>
<div class="line"><a id="l00325" name="l00325"></a><span class="lineno"> 325</span> m_nCols = a.cols();</div>
<div class="line"><a id="l00326" name="l00326"></a><span class="lineno"> 326</span> </div>
<div class="line"><a id="l00327" name="l00327"></a><span class="lineno"> 327</span> AccelSparseMatrix A{};</div>
<div class="line"><a id="l00328" name="l00328"></a><span class="lineno"> 328</span> std::vector<long> columnStarts;</div>
<div class="line"><a id="l00329" name="l00329"></a><span class="lineno"> 329</span> </div>
<div class="line"><a id="l00330" name="l00330"></a><span class="lineno"> 330</span> buildAccelSparseMatrix(a, A, columnStarts);</div>
<div class="line"><a id="l00331" name="l00331"></a><span class="lineno"> 331</span> </div>
<div class="line"><a id="l00332" name="l00332"></a><span class="lineno"> 332</span> doAnalysis(A);</div>
<div class="line"><a id="l00333" name="l00333"></a><span class="lineno"> 333</span> </div>
<div class="line"><a id="l00334" name="l00334"></a><span class="lineno"> 334</span> <span class="keywordflow">if</span> (m_symbolicFactorization) doFactorization(A);</div>
<div class="line"><a id="l00335" name="l00335"></a><span class="lineno"> 335</span> </div>
<div class="line"><a id="l00336" name="l00336"></a><span class="lineno"> 336</span> m_isInitialized = <span class="keyword">true</span>;</div>
<div class="line"><a id="l00337" name="l00337"></a><span class="lineno"> 337</span>}</div>
<div class="line"><a id="l00338" name="l00338"></a><span class="lineno"> 338</span> </div>
<div class="line"><a id="l00345" name="l00345"></a><span class="lineno"> 345</span><span class="keyword">template</span> <<span class="keyword">typename</span> MatrixType_, <span class="keywordtype">int</span> UpLo_, SparseFactorization_t Solver_, <span class="keywordtype">bool</span> EnforceSquare_></div>
<div class="line"><a id="l00346" name="l00346"></a><span class="lineno"> 346</span><span class="keywordtype">void</span> AccelerateImpl<MatrixType_, UpLo_, Solver_, EnforceSquare_>::analyzePattern(<span class="keyword">const</span> MatrixType& a) {</div>
<div class="line"><a id="l00347" name="l00347"></a><span class="lineno"> 347</span> <span class="keywordflow">if</span> (EnforceSquare_) eigen_assert(a.rows() == a.cols());</div>
<div class="line"><a id="l00348" name="l00348"></a><span class="lineno"> 348</span> </div>
<div class="line"><a id="l00349" name="l00349"></a><span class="lineno"> 349</span> m_nRows = a.rows();</div>
<div class="line"><a id="l00350" name="l00350"></a><span class="lineno"> 350</span> m_nCols = a.cols();</div>
<div class="line"><a id="l00351" name="l00351"></a><span class="lineno"> 351</span> </div>
<div class="line"><a id="l00352" name="l00352"></a><span class="lineno"> 352</span> AccelSparseMatrix A{};</div>
<div class="line"><a id="l00353" name="l00353"></a><span class="lineno"> 353</span> std::vector<long> columnStarts;</div>
<div class="line"><a id="l00354" name="l00354"></a><span class="lineno"> 354</span> </div>
<div class="line"><a id="l00355" name="l00355"></a><span class="lineno"> 355</span> buildAccelSparseMatrix(a, A, columnStarts);</div>
<div class="line"><a id="l00356" name="l00356"></a><span class="lineno"> 356</span> </div>
<div class="line"><a id="l00357" name="l00357"></a><span class="lineno"> 357</span> doAnalysis(A);</div>
<div class="line"><a id="l00358" name="l00358"></a><span class="lineno"> 358</span> </div>
<div class="line"><a id="l00359" name="l00359"></a><span class="lineno"> 359</span> m_isInitialized = <span class="keyword">true</span>;</div>
<div class="line"><a id="l00360" name="l00360"></a><span class="lineno"> 360</span>}</div>
<div class="line"><a id="l00361" name="l00361"></a><span class="lineno"> 361</span> </div>
<div class="line"><a id="l00368" name="l00368"></a><span class="lineno"> 368</span><span class="keyword">template</span> <<span class="keyword">typename</span> MatrixType_, <span class="keywordtype">int</span> UpLo_, SparseFactorization_t Solver_, <span class="keywordtype">bool</span> EnforceSquare_></div>
<div class="line"><a id="l00369" name="l00369"></a><span class="lineno"> 369</span><span class="keywordtype">void</span> AccelerateImpl<MatrixType_, UpLo_, Solver_, EnforceSquare_>::factorize(<span class="keyword">const</span> MatrixType& a) {</div>
<div class="line"><a id="l00370" name="l00370"></a><span class="lineno"> 370</span> eigen_assert(m_symbolicFactorization && <span class="stringliteral">"You must first call analyzePattern()"</span>);</div>
<div class="line"><a id="l00371" name="l00371"></a><span class="lineno"> 371</span> eigen_assert(m_nRows == a.rows() && m_nCols == a.cols());</div>
<div class="line"><a id="l00372" name="l00372"></a><span class="lineno"> 372</span> </div>
<div class="line"><a id="l00373" name="l00373"></a><span class="lineno"> 373</span> <span class="keywordflow">if</span> (EnforceSquare_) eigen_assert(a.rows() == a.cols());</div>
<div class="line"><a id="l00374" name="l00374"></a><span class="lineno"> 374</span> </div>
<div class="line"><a id="l00375" name="l00375"></a><span class="lineno"> 375</span> AccelSparseMatrix A{};</div>
<div class="line"><a id="l00376" name="l00376"></a><span class="lineno"> 376</span> std::vector<long> columnStarts;</div>
<div class="line"><a id="l00377" name="l00377"></a><span class="lineno"> 377</span> </div>
<div class="line"><a id="l00378" name="l00378"></a><span class="lineno"> 378</span> buildAccelSparseMatrix(a, A, columnStarts);</div>
<div class="line"><a id="l00379" name="l00379"></a><span class="lineno"> 379</span> </div>
<div class="line"><a id="l00380" name="l00380"></a><span class="lineno"> 380</span> doFactorization(A);</div>
<div class="line"><a id="l00381" name="l00381"></a><span class="lineno"> 381</span>}</div>
<div class="line"><a id="l00382" name="l00382"></a><span class="lineno"> 382</span> </div>
<div class="line"><a id="l00383" name="l00383"></a><span class="lineno"> 383</span><span class="keyword">template</span> <<span class="keyword">typename</span> MatrixType_, <span class="keywordtype">int</span> UpLo_, SparseFactorization_t Solver_, <span class="keywordtype">bool</span> EnforceSquare_></div>
<div class="line"><a id="l00384" name="l00384"></a><span class="lineno"> 384</span><span class="keyword">template</span> <<span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Dest></div>
<div class="line"><a id="l00385" name="l00385"></a><span class="lineno"> 385</span><span class="keywordtype">void</span> AccelerateImpl<MatrixType_, UpLo_, Solver_, EnforceSquare_>::_solve_impl(<span class="keyword">const</span> MatrixBase<Rhs>& b,</div>
<div class="line"><a id="l00386" name="l00386"></a><span class="lineno"> 386</span> MatrixBase<Dest>& x)<span class="keyword"> const </span>{</div>
<div class="line"><a id="l00387" name="l00387"></a><span class="lineno"> 387</span> <span class="keywordflow">if</span> (!m_numericFactorization) {</div>
<div class="line"><a id="l00388" name="l00388"></a><span class="lineno"> 388</span> m_info = <a class="code hl_enumvalue" href="group__enums.html#gga85fad7b87587764e5cf6b513a9e0ee5ea580b2a3cafe585691e789f768fb729bf">InvalidInput</a>;</div>
<div class="line"><a id="l00389" name="l00389"></a><span class="lineno"> 389</span> <span class="keywordflow">return</span>;</div>
<div class="line"><a id="l00390" name="l00390"></a><span class="lineno"> 390</span> }</div>
<div class="line"><a id="l00391" name="l00391"></a><span class="lineno"> 391</span> </div>
<div class="line"><a id="l00392" name="l00392"></a><span class="lineno"> 392</span> eigen_assert(m_nRows == b.rows());</div>
<div class="line"><a id="l00393" name="l00393"></a><span class="lineno"> 393</span> eigen_assert(((b.cols() == 1) || b.outerStride() == b.rows()));</div>
<div class="line"><a id="l00394" name="l00394"></a><span class="lineno"> 394</span> </div>
<div class="line"><a id="l00395" name="l00395"></a><span class="lineno"> 395</span> SparseStatus_t status = SparseStatusOK;</div>
<div class="line"><a id="l00396" name="l00396"></a><span class="lineno"> 396</span> </div>
<div class="line"><a id="l00397" name="l00397"></a><span class="lineno"> 397</span> Scalar* b_ptr = <span class="keyword">const_cast<</span>Scalar*<span class="keyword">></span>(b.derived().data());</div>
<div class="line"><a id="l00398" name="l00398"></a><span class="lineno"> 398</span> Scalar* x_ptr = <span class="keyword">const_cast<</span>Scalar*<span class="keyword">></span>(x.derived().data());</div>
<div class="line"><a id="l00399" name="l00399"></a><span class="lineno"> 399</span> </div>
<div class="line"><a id="l00400" name="l00400"></a><span class="lineno"> 400</span> AccelDenseMatrix xmat{};</div>
<div class="line"><a id="l00401" name="l00401"></a><span class="lineno"> 401</span> xmat.attributes = SparseAttributes_t();</div>
<div class="line"><a id="l00402" name="l00402"></a><span class="lineno"> 402</span> xmat.columnCount = <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(x.cols());</div>
<div class="line"><a id="l00403" name="l00403"></a><span class="lineno"> 403</span> xmat.rowCount = <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(x.rows());</div>
<div class="line"><a id="l00404" name="l00404"></a><span class="lineno"> 404</span> xmat.columnStride = xmat.rowCount;</div>
<div class="line"><a id="l00405" name="l00405"></a><span class="lineno"> 405</span> xmat.data = x_ptr;</div>
<div class="line"><a id="l00406" name="l00406"></a><span class="lineno"> 406</span> </div>
<div class="line"><a id="l00407" name="l00407"></a><span class="lineno"> 407</span> AccelDenseMatrix bmat{};</div>
<div class="line"><a id="l00408" name="l00408"></a><span class="lineno"> 408</span> bmat.attributes = SparseAttributes_t();</div>
<div class="line"><a id="l00409" name="l00409"></a><span class="lineno"> 409</span> bmat.columnCount = <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(b.cols());</div>
<div class="line"><a id="l00410" name="l00410"></a><span class="lineno"> 410</span> bmat.rowCount = <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(b.rows());</div>
<div class="line"><a id="l00411" name="l00411"></a><span class="lineno"> 411</span> bmat.columnStride = bmat.rowCount;</div>
<div class="line"><a id="l00412" name="l00412"></a><span class="lineno"> 412</span> bmat.data = b_ptr;</div>
<div class="line"><a id="l00413" name="l00413"></a><span class="lineno"> 413</span> </div>
<div class="line"><a id="l00414" name="l00414"></a><span class="lineno"> 414</span> SparseSolve(*m_numericFactorization, bmat, xmat);</div>
<div class="line"><a id="l00415" name="l00415"></a><span class="lineno"> 415</span> </div>
<div class="line"><a id="l00416" name="l00416"></a><span class="lineno"> 416</span> updateInfoStatus(status);</div>
<div class="line"><a id="l00417" name="l00417"></a><span class="lineno"> 417</span>}</div>
<div class="line"><a id="l00418" name="l00418"></a><span class="lineno"> 418</span> </div>
<div class="line"><a id="l00419" name="l00419"></a><span class="lineno"> 419</span>} <span class="comment">// end namespace Eigen</span></div>
<div class="line"><a id="l00420" name="l00420"></a><span class="lineno"> 420</span> </div>
<div class="line"><a id="l00421" name="l00421"></a><span class="lineno"> 421</span><span class="preprocessor">#endif </span><span class="comment">// EIGEN_ACCELERATESUPPORT_H</span></div>
<div class="ttc" id="aclassAccelerateCholeskyAtA_html"><div class="ttname"><a href="classAccelerateCholeskyAtA.html">AccelerateCholeskyAtA</a></div><div class="ttdoc">A QR factorization and solver based on Accelerate without storing Q (equivalent to A^TA = R^T R)</div></div>
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<div class="ttc" id="aclassAccelerateLDLTUnpivoted_html"><div class="ttname"><a href="classAccelerateLDLTUnpivoted.html">AccelerateLDLTUnpivoted</a></div><div class="ttdoc">A direct Cholesky-like LDL^T factorization and solver based on Accelerate with only 1x1 pivots and no...</div></div>
<div class="ttc" id="aclassAccelerateLDLT_html"><div class="ttname"><a href="classAccelerateLDLT.html">AccelerateLDLT</a></div><div class="ttdoc">The default Cholesky (LDLT) factorization and solver based on Accelerate.</div></div>
<div class="ttc" id="aclassAccelerateLLT_html"><div class="ttname"><a href="classAccelerateLLT.html">AccelerateLLT</a></div><div class="ttdoc">A direct Cholesky (LLT) factorization and solver based on Accelerate.</div></div>
<div class="ttc" id="aclassAccelerateQR_html"><div class="ttname"><a href="classAccelerateQR.html">AccelerateQR</a></div><div class="ttdoc">A QR factorization and solver based on Accelerate.</div></div>
<div class="ttc" id="agroup__enums_html_ga85fad7b87587764e5cf6b513a9e0ee5e"><div class="ttname"><a href="group__enums.html#ga85fad7b87587764e5cf6b513a9e0ee5e">Eigen::ComputationInfo</a></div><div class="ttdeci">ComputationInfo</div><div class="ttdef"><b>Definition</b> Constants.h:444</div></div>
<div class="ttc" id="agroup__enums_html_gga39e3366ff5554d731e7dc8bb642f83cda2424988b6fca98be70b595632753ba81"><div class="ttname"><a href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cda2424988b6fca98be70b595632753ba81">Eigen::StrictlyLower</a></div><div class="ttdeci">@ StrictlyLower</div><div class="ttdef"><b>Definition</b> Constants.h:223</div></div>
<div class="ttc" id="agroup__enums_html_gga39e3366ff5554d731e7dc8bb642f83cda7b37877e0b9b0df28c9c2b669a633265"><div class="ttname"><a href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cda7b37877e0b9b0df28c9c2b669a633265">Eigen::StrictlyUpper</a></div><div class="ttdeci">@ StrictlyUpper</div><div class="ttdef"><b>Definition</b> Constants.h:225</div></div>
<div class="ttc" id="agroup__enums_html_gga39e3366ff5554d731e7dc8bb642f83cda8f40b928c10a71ba03e5f75ad2a72fda"><div class="ttname"><a href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cda8f40b928c10a71ba03e5f75ad2a72fda">Eigen::UnitLower</a></div><div class="ttdeci">@ UnitLower</div><div class="ttdef"><b>Definition</b> Constants.h:219</div></div>
<div class="ttc" id="agroup__enums_html_gga39e3366ff5554d731e7dc8bb642f83cdad5381b2d1c8973a08303c94e7da02333"><div class="ttname"><a href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdad5381b2d1c8973a08303c94e7da02333">Eigen::Symmetric</a></div><div class="ttdeci">@ Symmetric</div><div class="ttdef"><b>Definition</b> Constants.h:229</div></div>
<div class="ttc" id="agroup__enums_html_gga39e3366ff5554d731e7dc8bb642f83cdadd28224d7ea92689930be73c1b50b0ad"><div class="ttname"><a href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdadd28224d7ea92689930be73c1b50b0ad">Eigen::UnitUpper</a></div><div class="ttdeci">@ UnitUpper</div><div class="ttdef"><b>Definition</b> Constants.h:221</div></div>
<div class="ttc" id="agroup__enums_html_gga39e3366ff5554d731e7dc8bb642f83cdaf581029282d421eee5aae14238c6f749"><div class="ttname"><a href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdaf581029282d421eee5aae14238c6f749">Eigen::Lower</a></div><div class="ttdeci">@ Lower</div><div class="ttdef"><b>Definition</b> Constants.h:211</div></div>
<div class="ttc" id="agroup__enums_html_gga39e3366ff5554d731e7dc8bb642f83cdafca2ccebb604f171656deb53e8c083c1"><div class="ttname"><a href="group__enums.html#gga39e3366ff5554d731e7dc8bb642f83cdafca2ccebb604f171656deb53e8c083c1">Eigen::Upper</a></div><div class="ttdeci">@ Upper</div><div class="ttdef"><b>Definition</b> Constants.h:213</div></div>
<div class="ttc" id="agroup__enums_html_gga85fad7b87587764e5cf6b513a9e0ee5ea1c6e20706575a629b27a105f07f1883b"><div class="ttname"><a href="group__enums.html#gga85fad7b87587764e5cf6b513a9e0ee5ea1c6e20706575a629b27a105f07f1883b">Eigen::NumericalIssue</a></div><div class="ttdeci">@ NumericalIssue</div><div class="ttdef"><b>Definition</b> Constants.h:448</div></div>
<div class="ttc" id="agroup__enums_html_gga85fad7b87587764e5cf6b513a9e0ee5ea580b2a3cafe585691e789f768fb729bf"><div class="ttname"><a href="group__enums.html#gga85fad7b87587764e5cf6b513a9e0ee5ea580b2a3cafe585691e789f768fb729bf">Eigen::InvalidInput</a></div><div class="ttdeci">@ InvalidInput</div><div class="ttdef"><b>Definition</b> Constants.h:453</div></div>
<div class="ttc" id="agroup__enums_html_gga85fad7b87587764e5cf6b513a9e0ee5ea671a2aeb0f527802806a441d58a80fcf"><div class="ttname"><a href="group__enums.html#gga85fad7b87587764e5cf6b513a9e0ee5ea671a2aeb0f527802806a441d58a80fcf">Eigen::Success</a></div><div class="ttdeci">@ Success</div><div class="ttdef"><b>Definition</b> Constants.h:446</div></div>
<div class="ttc" id="anamespaceEigen_html"><div class="ttname"><a href="namespaceEigen.html">Eigen</a></div><div class="ttdoc">Namespace containing all symbols from the Eigen library.</div><div class="ttdef"><b>Definition</b> Core:139</div></div>
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<div class="ttc" id="anamespaceEigen_html_ad81fa7195215a0ce30017dfac309f0b2"><div class="ttname"><a href="namespaceEigen.html#ad81fa7195215a0ce30017dfac309f0b2">Eigen::Dynamic</a></div><div class="ttdeci">const int Dynamic</div><div class="ttdef"><b>Definition</b> Constants.h:24</div></div>
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