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<div class="title">PaStiXSupport.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) 2012 Désiré Nuentsa-Wakam <desire.nuentsa_wakam@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_PASTIXSUPPORT_H</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor"></span><span class="preprocessor">#define EIGEN_PASTIXSUPPORT_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="l00023"></a><span class="lineno"><a class="line" href="classEigen_1_1PastixLU.html"> 23</a></span> <span class="keyword">template</span><<span class="keyword">typename</span> _MatrixType, <span class="keywordtype">bool</span> IsStrSym = false> <span class="keyword">class </span><a class="code" href="classEigen_1_1PastixLU.html">PastixLU</a>;</div>
<div class="line"><a name="l00024"></a><span class="lineno"><a class="line" href="classEigen_1_1PastixLLT.html"> 24</a></span> <span class="keyword">template</span><<span class="keyword">typename</span> _MatrixType, <span class="keywordtype">int</span> Options> <span class="keyword">class </span><a class="code" href="classEigen_1_1PastixLLT.html">PastixLLT</a>;</div>
<div class="line"><a name="l00025"></a><span class="lineno"><a class="line" href="classEigen_1_1PastixLDLT.html"> 25</a></span> <span class="keyword">template</span><<span class="keyword">typename</span> _MatrixType, <span class="keywordtype">int</span> Options> <span class="keyword">class </span><a class="code" href="classEigen_1_1PastixLDLT.html">PastixLDLT</a>;</div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="keyword">namespace </span>internal</div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> {</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  </div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keyword">template</span><<span class="keyword">class</span> Pastix> <span class="keyword">struct </span>pastix_traits;</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> _MatrixType></div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keyword">struct </span>pastix_traits< <a class="code" href="classEigen_1_1PastixLU.html">PastixLU</a><_MatrixType> ></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">typedef</span> _MatrixType MatrixType;</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> _MatrixType::Scalar Scalar;</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> _MatrixType::RealScalar RealScalar;</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> _MatrixType::Index Index;</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="keyword">typename</span> _MatrixType, <span class="keywordtype">int</span> Options></div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keyword">struct </span>pastix_traits< <a class="code" href="classEigen_1_1PastixLLT.html">PastixLLT</a><_MatrixType,Options> ></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">typedef</span> _MatrixType MatrixType;</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> _MatrixType::Scalar Scalar;</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> _MatrixType::RealScalar RealScalar;</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> _MatrixType::Index Index;</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  };</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keyword">template</span><<span class="keyword">typename</span> _MatrixType, <span class="keywordtype">int</span> Options></div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keyword">struct </span>pastix_traits< PastixLDLT<_MatrixType,Options> ></div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  {</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keyword">typedef</span> _MatrixType MatrixType;</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::RealScalar RealScalar;</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> _MatrixType::Index Index;</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  };</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  </div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordtype">void</span> eigen_pastix(pastix_data_t **pastix_data, <span class="keywordtype">int</span> pastix_comm, <span class="keywordtype">int</span> n, <span class="keywordtype">int</span> *ptr, <span class="keywordtype">int</span> *idx, <span class="keywordtype">float</span> *vals, <span class="keywordtype">int</span> *perm, <span class="keywordtype">int</span> * invp, <span class="keywordtype">float</span> *x, <span class="keywordtype">int</span> nbrhs, <span class="keywordtype">int</span> *iparm, <span class="keywordtype">double</span> *dparm)</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  {</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordflow">if</span> (n == 0) { ptr = NULL; idx = NULL; vals = NULL; }</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordflow">if</span> (nbrhs == 0) {x = NULL; nbrhs=1;}</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  s_pastix(pastix_data, pastix_comm, n, ptr, idx, vals, perm, invp, x, nbrhs, iparm, dparm); </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>  </div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordtype">void</span> eigen_pastix(pastix_data_t **pastix_data, <span class="keywordtype">int</span> pastix_comm, <span class="keywordtype">int</span> n, <span class="keywordtype">int</span> *ptr, <span class="keywordtype">int</span> *idx, <span class="keywordtype">double</span> *vals, <span class="keywordtype">int</span> *perm, <span class="keywordtype">int</span> * invp, <span class="keywordtype">double</span> *x, <span class="keywordtype">int</span> nbrhs, <span class="keywordtype">int</span> *iparm, <span class="keywordtype">double</span> *dparm)</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  {</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">if</span> (n == 0) { ptr = NULL; idx = NULL; vals = NULL; }</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">if</span> (nbrhs == 0) {x = NULL; nbrhs=1;}</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  d_pastix(pastix_data, pastix_comm, n, ptr, idx, vals, perm, invp, x, nbrhs, iparm, dparm); </div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  }</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  </div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordtype">void</span> eigen_pastix(pastix_data_t **pastix_data, <span class="keywordtype">int</span> pastix_comm, <span class="keywordtype">int</span> n, <span class="keywordtype">int</span> *ptr, <span class="keywordtype">int</span> *idx, std::complex<float> *vals, <span class="keywordtype">int</span> *perm, <span class="keywordtype">int</span> * invp, std::complex<float> *x, <span class="keywordtype">int</span> nbrhs, <span class="keywordtype">int</span> *iparm, <span class="keywordtype">double</span> *dparm)</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  {</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">if</span> (n == 0) { ptr = NULL; idx = NULL; vals = NULL; }</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">if</span> (nbrhs == 0) {x = NULL; nbrhs=1;}</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  c_pastix(pastix_data, pastix_comm, n, ptr, idx, reinterpret_cast<COMPLEX*>(vals), perm, invp, reinterpret_cast<COMPLEX*>(x), nbrhs, iparm, dparm); </div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  }</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  </div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordtype">void</span> eigen_pastix(pastix_data_t **pastix_data, <span class="keywordtype">int</span> pastix_comm, <span class="keywordtype">int</span> n, <span class="keywordtype">int</span> *ptr, <span class="keywordtype">int</span> *idx, std::complex<double> *vals, <span class="keywordtype">int</span> *perm, <span class="keywordtype">int</span> * invp, std::complex<double> *x, <span class="keywordtype">int</span> nbrhs, <span class="keywordtype">int</span> *iparm, <span class="keywordtype">double</span> *dparm)</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  {</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">if</span> (n == 0) { ptr = NULL; idx = NULL; vals = NULL; }</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">if</span> (nbrhs == 0) {x = NULL; nbrhs=1;}</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  z_pastix(pastix_data, pastix_comm, n, ptr, idx, reinterpret_cast<DCOMPLEX*>(vals), perm, invp, reinterpret_cast<DCOMPLEX*>(x), nbrhs, iparm, dparm); </div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  }</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="comment">// Convert the matrix to Fortran-style Numbering</span></div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> MatrixType></div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordtype">void</span> c_to_fortran_numbering (MatrixType& mat)</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  {</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keywordflow">if</span> ( !(mat.outerIndexPtr()[0]) ) </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="keywordtype">int</span> i;</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">for</span>(i = 0; i <= mat.rows(); ++i)</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  ++mat.outerIndexPtr()[i];</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordflow">for</span>(i = 0; i < mat.nonZeros(); ++i)</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  ++mat.innerIndexPtr()[i];</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  }</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  }</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  </div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="comment">// Convert to C-style Numbering</span></div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> MatrixType></div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordtype">void</span> fortran_to_c_numbering (MatrixType& mat)</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  {</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="comment">// Check the Numbering</span></div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordflow">if</span> ( mat.outerIndexPtr()[0] == 1 ) </div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  { <span class="comment">// Convert to C-style numbering</span></div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordtype">int</span> i;</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordflow">for</span>(i = 0; i <= mat.rows(); ++i)</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  --mat.outerIndexPtr()[i];</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordflow">for</span>(i = 0; i < mat.nonZeros(); ++i)</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  --mat.innerIndexPtr()[i];</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  }</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  }</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span> }</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="comment">// This is the base class to interface with PaStiX functions. </span></div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="comment">// Users should not used this class directly. </span></div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="keyword">template</span> <<span class="keyword">class</span> Derived></div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span> <span class="keyword">class </span>PastixBase : internal::noncopyable</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span> {</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::pastix_traits<Derived>::MatrixType _MatrixType;</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keyword">typedef</span> _MatrixType MatrixType;</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::Scalar Scalar;</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::RealScalar RealScalar;</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::Index Index;</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keyword">typedef</span> Matrix<Scalar,Dynamic,1> Vector;</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keyword">typedef</span> SparseMatrix<Scalar, ColMajor> ColSpMatrix;</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  </div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  </div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  PastixBase() : m_initisOk(false), m_analysisIsOk(false), m_factorizationIsOk(false), m_isInitialized(false), m_pastixdata(0), m_size(0)</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  {</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  init();</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  }</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  </div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  ~PastixBase() </div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  {</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  clean();</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="l00147"></a><span class="lineno"> 147</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Rhs></div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keyword">inline</span> <span class="keyword">const</span> internal::solve_retval<PastixBase, Rhs></div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  solve(<span class="keyword">const</span> MatrixBase<Rhs>& b)<span class="keyword"> const</span></div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  eigen_assert(m_isInitialized && <span class="stringliteral">"Pastix solver is not initialized."</span>);</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  eigen_assert(rows()==b.rows()</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  && <span class="stringliteral">"PastixBase::solve(): invalid number of rows of the right hand side matrix b"</span>);</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keywordflow">return</span> internal::solve_retval<PastixBase, Rhs>(*<span class="keyword">this</span>, b.derived());</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> Rhs,<span class="keyword">typename</span> Dest></div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordtype">bool</span> _solve (<span class="keyword">const</span> MatrixBase<Rhs> &b, MatrixBase<Dest> &x) <span class="keyword">const</span>;</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>  Derived& derived()</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  {</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keywordflow">return</span> *<span class="keyword">static_cast<</span>Derived*<span class="keyword">></span>(<span class="keyword">this</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>  <span class="keyword">const</span> Derived& derived()<span class="keyword"> const</span></div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keywordflow">return</span> *<span class="keyword">static_cast<</span><span class="keyword">const </span>Derived*<span class="keyword">></span>(<span class="keyword">this</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> </div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  Array<Index,IPARM_SIZE,1>& iparm()</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  {</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordflow">return</span> m_iparm; </div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  }</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  </div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="keywordtype">int</span>& iparm(<span class="keywordtype">int</span> idxparam)</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>  <span class="keywordflow">return</span> m_iparm(idxparam);</div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  }</div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  </div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  Array<RealScalar,IPARM_SIZE,1>& dparm()</div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  {</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="keywordflow">return</span> m_dparm; </div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  }</div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  </div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  </div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keywordtype">double</span>& dparm(<span class="keywordtype">int</span> idxparam)</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  {</div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keywordflow">return</span> m_dparm(idxparam);</div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  }</div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  </div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keyword">inline</span> Index cols()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_size; }</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keyword">inline</span> Index rows()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_size; }</div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  </div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <a class="code" href="group__enums.html#ga51bc1ac16f26ebe51eae1abb77bd037b">ComputationInfo</a> info()<span class="keyword"> const</span></div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  eigen_assert(m_isInitialized && <span class="stringliteral">"Decomposition is not initialized."</span>);</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keywordflow">return</span> m_info;</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="l00227"></a><span class="lineno"> 227</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Rhs></div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keyword">inline</span> <span class="keyword">const</span> internal::sparse_solve_retval<PastixBase, Rhs></div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  solve(<span class="keyword">const</span> SparseMatrixBase<Rhs>& b)<span class="keyword"> const</span></div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  eigen_assert(m_isInitialized && <span class="stringliteral">"Pastix LU, LLT or LDLT is not initialized."</span>);</div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  eigen_assert(rows()==b.rows()</div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  && <span class="stringliteral">"PastixBase::solve(): invalid number of rows of the right hand side matrix b"</span>);</div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keywordflow">return</span> internal::sparse_solve_retval<PastixBase, Rhs>(*<span class="keyword">this</span>, b.derived());</div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  }</div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  </div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span> </div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="comment">// Initialize the Pastix data structure, check the matrix</span></div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keywordtype">void</span> init(); </div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  </div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="comment">// Compute the ordering and the symbolic factorization</span></div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="keywordtype">void</span> analyzePattern(ColSpMatrix& mat);</div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  </div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="comment">// Compute the numerical factorization</span></div>
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keywordtype">void</span> factorize(ColSpMatrix& mat);</div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  </div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="comment">// Free all the data allocated by Pastix</span></div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keywordtype">void</span> clean()</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>  eigen_assert(m_initisOk && <span class="stringliteral">"The Pastix structure should be allocated first"</span>); </div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  m_iparm(IPARM_START_TASK) = API_TASK_CLEAN;</div>
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  m_iparm(IPARM_END_TASK) = API_TASK_CLEAN;</div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  internal::eigen_pastix(&m_pastixdata, MPI_COMM_WORLD, 0, 0, 0, (Scalar*)0,</div>
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  m_perm.data(), m_invp.data(), 0, 0, m_iparm.data(), m_dparm.data());</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>  </div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keywordtype">void</span> compute(ColSpMatrix& mat);</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>  <span class="keywordtype">int</span> m_initisOk; </div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keywordtype">int</span> m_analysisIsOk;</div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keywordtype">int</span> m_factorizationIsOk;</div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keywordtype">bool</span> m_isInitialized;</div>
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keyword">mutable</span> <a class="code" href="group__enums.html#ga51bc1ac16f26ebe51eae1abb77bd037b">ComputationInfo</a> m_info; </div>
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keyword">mutable</span> pastix_data_t *m_pastixdata; <span class="comment">// Data structure for pastix</span></div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keyword">mutable</span> <span class="keywordtype">int</span> m_comm; <span class="comment">// The MPI communicator identifier</span></div>
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keyword">mutable</span> Matrix<int,IPARM_SIZE,1> m_iparm; <span class="comment">// integer vector for the input parameters</span></div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="keyword">mutable</span> Matrix<double,DPARM_SIZE,1> m_dparm; <span class="comment">// Scalar vector for the input parameters</span></div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keyword">mutable</span> Matrix<Index,Dynamic,1> m_perm; <span class="comment">// Permutation vector</span></div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keyword">mutable</span> Matrix<Index,Dynamic,1> m_invp; <span class="comment">// Inverse permutation vector</span></div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keyword">mutable</span> <span class="keywordtype">int</span> m_size; <span class="comment">// Size of the matrix </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="l00278"></a><span class="lineno"> 278</span> <span class="keyword">template</span> <<span class="keyword">class</span> Derived></div>
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span> <span class="keywordtype">void</span> PastixBase<Derived>::init()</div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span> {</div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  m_size = 0; </div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  m_iparm.setZero(IPARM_SIZE);</div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  m_dparm.setZero(DPARM_SIZE);</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>  m_iparm(IPARM_MODIFY_PARAMETER) = API_NO;</div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  pastix(&m_pastixdata, MPI_COMM_WORLD,</div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  0, 0, 0, 0,</div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  0, 0, 0, 1, m_iparm.data(), m_dparm.data());</div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  </div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  m_iparm[IPARM_MATRIX_VERIFICATION] = API_NO;</div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  m_iparm[IPARM_VERBOSE] = 2;</div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  m_iparm[IPARM_ORDERING] = API_ORDER_SCOTCH;</div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  m_iparm[IPARM_INCOMPLETE] = API_NO;</div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  m_iparm[IPARM_OOC_LIMIT] = 2000;</div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  m_iparm[IPARM_RHS_MAKING] = API_RHS_B;</div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  m_iparm(IPARM_MATRIX_VERIFICATION) = API_NO;</div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  </div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  m_iparm(IPARM_START_TASK) = API_TASK_INIT;</div>
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  m_iparm(IPARM_END_TASK) = API_TASK_INIT;</div>
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  internal::eigen_pastix(&m_pastixdata, MPI_COMM_WORLD, 0, 0, 0, (Scalar*)0,</div>
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  0, 0, 0, 0, m_iparm.data(), m_dparm.data());</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>  <span class="comment">// Check the returned error</span></div>
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keywordflow">if</span>(m_iparm(IPARM_ERROR_NUMBER)) {</div>
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  m_info = <a class="code" href="group__enums.html#gga51bc1ac16f26ebe51eae1abb77bd037bae1252631a63be5890a1e78ff417d378f">InvalidInput</a>;</div>
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  m_initisOk = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  }</div>
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keywordflow">else</span> { </div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  m_info = <a class="code" href="group__enums.html#gga51bc1ac16f26ebe51eae1abb77bd037bafdfbdf3247bd36a1f17270d5cec74c9c">Success</a>;</div>
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  m_initisOk = <span class="keyword">true</span>;</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> </div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span> <span class="keyword">template</span> <<span class="keyword">class</span> Derived></div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span> <span class="keywordtype">void</span> PastixBase<Derived>::compute(ColSpMatrix& mat)</div>
<div class="line"><a name="l00316"></a><span class="lineno"> 316</span> {</div>
<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  eigen_assert(mat.rows() == mat.cols() && <span class="stringliteral">"The input matrix should be squared"</span>);</div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  </div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  analyzePattern(mat); </div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  factorize(mat);</div>
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  </div>
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  m_iparm(IPARM_MATRIX_VERIFICATION) = API_NO;</div>
<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  m_isInitialized = m_factorizationIsOk;</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> </div>
<div class="line"><a name="l00327"></a><span class="lineno"> 327</span> <span class="keyword">template</span> <<span class="keyword">class</span> Derived></div>
<div class="line"><a name="l00328"></a><span class="lineno"> 328</span> <span class="keywordtype">void</span> PastixBase<Derived>::analyzePattern(ColSpMatrix& mat)</div>
<div class="line"><a name="l00329"></a><span class="lineno"> 329</span> { </div>
<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  eigen_assert(m_initisOk && <span class="stringliteral">"The initialization of PaSTiX failed"</span>);</div>
<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  </div>
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="comment">// clean previous calls</span></div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <span class="keywordflow">if</span>(m_size>0)</div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  clean();</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>  m_size = mat.rows();</div>
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  m_perm.resize(m_size);</div>
<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  m_invp.resize(m_size);</div>
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  </div>
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  m_iparm(IPARM_START_TASK) = API_TASK_ORDERING;</div>
<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  m_iparm(IPARM_END_TASK) = API_TASK_ANALYSE;</div>
<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  internal::eigen_pastix(&m_pastixdata, MPI_COMM_WORLD, m_size, mat.outerIndexPtr(), mat.innerIndexPtr(),</div>
<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  mat.valuePtr(), m_perm.data(), m_invp.data(), 0, 0, m_iparm.data(), m_dparm.data());</div>
<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  </div>
<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="comment">// Check the returned error</span></div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="keywordflow">if</span>(m_iparm(IPARM_ERROR_NUMBER))</div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  {</div>
<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  m_info = <a class="code" href="group__enums.html#gga51bc1ac16f26ebe51eae1abb77bd037ba710fff14e8fc77846d4b75d8f4cc2d5c">NumericalIssue</a>;</div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  m_analysisIsOk = <span class="keyword">false</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>  <span class="keywordflow">else</span></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>  m_info = <a class="code" href="group__enums.html#gga51bc1ac16f26ebe51eae1abb77bd037bafdfbdf3247bd36a1f17270d5cec74c9c">Success</a>;</div>
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  m_analysisIsOk = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  }</div>
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span> }</div>
<div class="line"><a name="l00357"></a><span class="lineno"> 357</span> </div>
<div class="line"><a name="l00358"></a><span class="lineno"> 358</span> <span class="keyword">template</span> <<span class="keyword">class</span> Derived></div>
<div class="line"><a name="l00359"></a><span class="lineno"> 359</span> <span class="keywordtype">void</span> PastixBase<Derived>::factorize(ColSpMatrix& mat)</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">// if(&m_cpyMat != &mat) m_cpyMat = mat;</span></div>
<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  eigen_assert(m_analysisIsOk && <span class="stringliteral">"The analysis phase should be called before the factorization phase"</span>);</div>
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  m_iparm(IPARM_START_TASK) = API_TASK_NUMFACT;</div>
<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  m_iparm(IPARM_END_TASK) = API_TASK_NUMFACT;</div>
<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  m_size = mat.rows();</div>
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  </div>
<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  internal::eigen_pastix(&m_pastixdata, MPI_COMM_WORLD, m_size, mat.outerIndexPtr(), mat.innerIndexPtr(),</div>
<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  mat.valuePtr(), m_perm.data(), m_invp.data(), 0, 0, m_iparm.data(), m_dparm.data());</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>  <span class="comment">// Check the returned error</span></div>
<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <span class="keywordflow">if</span>(m_iparm(IPARM_ERROR_NUMBER))</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>  m_info = <a class="code" href="group__enums.html#gga51bc1ac16f26ebe51eae1abb77bd037ba710fff14e8fc77846d4b75d8f4cc2d5c">NumericalIssue</a>;</div>
<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  m_factorizationIsOk = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  m_isInitialized = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  }</div>
<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <span class="keywordflow">else</span></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>  m_info = <a class="code" href="group__enums.html#gga51bc1ac16f26ebe51eae1abb77bd037bafdfbdf3247bd36a1f17270d5cec74c9c">Success</a>;</div>
<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  m_factorizationIsOk = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  m_isInitialized = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  }</div>
<div class="line"><a name="l00383"></a><span class="lineno"> 383</span> }</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="comment">/* Solve the system */</span></div>
<div class="line"><a name="l00386"></a><span class="lineno"> 386</span> <span class="keyword">template</span><<span class="keyword">typename</span> Base></div>
<div class="line"><a name="l00387"></a><span class="lineno"> 387</span> <span class="keyword">template</span><<span class="keyword">typename</span> Rhs,<span class="keyword">typename</span> Dest></div>
<div class="line"><a name="l00388"></a><span class="lineno"> 388</span> <span class="keywordtype">bool</span> PastixBase<Base>::_solve (<span class="keyword">const</span> MatrixBase<Rhs> &b, MatrixBase<Dest> &x)<span class="keyword"> const</span></div>
<div class="line"><a name="l00389"></a><span class="lineno"> 389</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  eigen_assert(m_isInitialized && <span class="stringliteral">"The matrix should be factorized first"</span>);</div>
<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  EIGEN_STATIC_ASSERT((Dest::Flags&<a class="code" href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">RowMajorBit</a>)==0,</div>
<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  THIS_METHOD_IS_ONLY_FOR_COLUMN_MAJOR_MATRICES);</div>
<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keywordtype">int</span> rhs = 1;</div>
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  </div>
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  x = b; <span class="comment">/* on return, x is overwritten by the computed solution */</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>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < b.cols(); i++){</div>
<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  m_iparm[IPARM_START_TASK] = API_TASK_SOLVE;</div>
<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  m_iparm[IPARM_END_TASK] = API_TASK_REFINE;</div>
<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  </div>
<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  internal::eigen_pastix(&m_pastixdata, MPI_COMM_WORLD, x.rows(), 0, 0, 0,</div>
<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  m_perm.data(), m_invp.data(), &x(0, i), rhs, m_iparm.data(), m_dparm.data());</div>
<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  }</div>
<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  </div>
<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="comment">// Check the returned error</span></div>
<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  m_info = m_iparm(IPARM_ERROR_NUMBER)==0 ? <a class="code" href="group__enums.html#gga51bc1ac16f26ebe51eae1abb77bd037bafdfbdf3247bd36a1f17270d5cec74c9c">Success</a> : <a class="code" href="group__enums.html#gga51bc1ac16f26ebe51eae1abb77bd037ba710fff14e8fc77846d4b75d8f4cc2d5c">NumericalIssue</a>;</div>
<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  </div>
<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="keywordflow">return</span> m_iparm(IPARM_ERROR_NUMBER)==0;</div>
<div class="line"><a name="l00409"></a><span class="lineno"> 409</span> }</div>
<div class="line"><a name="l00410"></a><span class="lineno"> 410</span> </div>
<div class="line"><a name="l00430"></a><span class="lineno"> 430</span> <span class="keyword">template</span><<span class="keyword">typename</span> _MatrixType, <span class="keywordtype">bool</span> IsStrSym></div>
<div class="line"><a name="l00431"></a><span class="lineno"> 431</span> <span class="keyword">class </span>PastixLU : <span class="keyword">public</span> PastixBase< PastixLU<_MatrixType> ></div>
<div class="line"><a name="l00432"></a><span class="lineno"> 432</span> {</div>
<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <span class="keyword">typedef</span> _MatrixType MatrixType;</div>
<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <span class="keyword">typedef</span> PastixBase<PastixLU<MatrixType> > Base;</div>
<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Base::ColSpMatrix ColSpMatrix;</div>
<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::Index Index;</div>
<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  </div>
<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  PastixLU() : Base()</div>
<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  {</div>
<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  init();</div>
<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  }</div>
<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  </div>
<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  PastixLU(<span class="keyword">const</span> MatrixType& matrix):Base()</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>  init();</div>
<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <a class="code" href="classEigen_1_1PastixLU.html#a05a0eac1c146e9e62df9ec70f5a6f69d">compute</a>(matrix);</div>
<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  }</div>
<div class="line"><a name="l00455"></a><span class="lineno"><a class="line" href="classEigen_1_1PastixLU.html#a05a0eac1c146e9e62df9ec70f5a6f69d"> 455</a></span>  <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1PastixLU.html#a05a0eac1c146e9e62df9ec70f5a6f69d">compute</a> (<span class="keyword">const</span> MatrixType& matrix)</div>
<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  {</div>
<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  m_structureIsUptodate = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <a class="code" href="classEigen_1_1SparseMatrix.html">ColSpMatrix</a> temp;</div>
<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  grabMatrix(matrix, temp);</div>
<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  Base::compute(temp);</div>
<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  }</div>
<div class="line"><a name="l00467"></a><span class="lineno"><a class="line" href="classEigen_1_1PastixLU.html#a6f2a135bd741b6b2f2558e6a404581ff"> 467</a></span>  <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1PastixLU.html#a6f2a135bd741b6b2f2558e6a404581ff">analyzePattern</a>(<span class="keyword">const</span> MatrixType& matrix)</div>
<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  {</div>
<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  m_structureIsUptodate = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  <a class="code" href="classEigen_1_1SparseMatrix.html">ColSpMatrix</a> temp;</div>
<div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  grabMatrix(matrix, temp);</div>
<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  Base::analyzePattern(temp);</div>
<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  }</div>
<div class="line"><a name="l00474"></a><span class="lineno"> 474</span> </div>
<div class="line"><a name="l00480"></a><span class="lineno"><a class="line" href="classEigen_1_1PastixLU.html#a33e2421e468033a883c041f940537a7c"> 480</a></span>  <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1PastixLU.html#a33e2421e468033a883c041f940537a7c">factorize</a>(<span class="keyword">const</span> MatrixType& matrix)</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>  <a class="code" href="classEigen_1_1SparseMatrix.html">ColSpMatrix</a> temp;</div>
<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  grabMatrix(matrix, temp);</div>
<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  Base::factorize(temp);</div>
<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  }</div>
<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  </div>
<div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  <span class="keywordtype">void</span> init()</div>
<div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  {</div>
<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  m_structureIsUptodate = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  m_iparm(IPARM_SYM) = API_SYM_NO;</div>
<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  m_iparm(IPARM_FACTORIZATION) = API_FACT_LU;</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>  </div>
<div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <span class="keywordtype">void</span> grabMatrix(<span class="keyword">const</span> MatrixType& matrix, ColSpMatrix& out)</div>
<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  {</div>
<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <span class="keywordflow">if</span>(IsStrSym)</div>
<div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  out = matrix;</div>
<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  {</div>
<div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  <span class="keywordflow">if</span>(!m_structureIsUptodate)</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>  <span class="comment">// update the transposed structure</span></div>
<div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  m_transposedStructure = matrix.transpose();</div>
<div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  </div>
<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <span class="comment">// Set the elements of the matrix to zero </span></div>
<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <span class="keywordflow">for</span> (Index j=0; j<m_transposedStructure.<a class="code" href="classEigen_1_1SparseMatrix.html#af080d3d3f82e0d4391f19af22a5eedb8">outerSize</a>(); ++j) </div>
<div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <span class="keywordflow">for</span>(<span class="keyword">typename</span> ColSpMatrix::InnerIterator it(m_transposedStructure, j); it; ++it)</div>
<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  it.valueRef() = 0.0;</div>
<div class="line"><a name="l00510"></a><span class="lineno"> 510</span> </div>
<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  m_structureIsUptodate = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  }</div>
<div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  </div>
<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  out = m_transposedStructure + matrix;</div>
<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  }</div>
<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  internal::c_to_fortran_numbering(out);</div>
<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  }</div>
<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  </div>
<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <span class="keyword">using</span> Base::m_iparm;</div>
<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  <span class="keyword">using</span> Base::m_dparm;</div>
<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  </div>
<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  ColSpMatrix m_transposedStructure;</div>
<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  <span class="keywordtype">bool</span> m_structureIsUptodate;</div>
<div class="line"><a name="l00524"></a><span class="lineno"> 524</span> };</div>
<div class="line"><a name="l00525"></a><span class="lineno"> 525</span> </div>
<div class="line"><a name="l00540"></a><span class="lineno"> 540</span> <span class="keyword">template</span><<span class="keyword">typename</span> _MatrixType, <span class="keywordtype">int</span> _UpLo></div>
<div class="line"><a name="l00541"></a><span class="lineno"> 541</span> <span class="keyword">class </span>PastixLLT : <span class="keyword">public</span> PastixBase< PastixLLT<_MatrixType, _UpLo> ></div>
<div class="line"><a name="l00542"></a><span class="lineno"> 542</span> {</div>
<div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <span class="keyword">typedef</span> _MatrixType MatrixType;</div>
<div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  <span class="keyword">typedef</span> PastixBase<PastixLLT<MatrixType, _UpLo> > Base;</div>
<div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Base::ColSpMatrix ColSpMatrix;</div>
<div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  </div>
<div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  <span class="keyword">enum</span> { UpLo = _UpLo };</div>
<div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  PastixLLT() : Base()</div>
<div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  {</div>
<div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  init();</div>
<div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  }</div>
<div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  </div>
<div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  PastixLLT(<span class="keyword">const</span> MatrixType& matrix):Base()</div>
<div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  {</div>
<div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  init();</div>
<div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <a class="code" href="classEigen_1_1PastixLLT.html#a05a0eac1c146e9e62df9ec70f5a6f69d">compute</a>(matrix);</div>
<div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  }</div>
<div class="line"><a name="l00560"></a><span class="lineno"> 560</span> </div>
<div class="line"><a name="l00564"></a><span class="lineno"><a class="line" href="classEigen_1_1PastixLLT.html#a05a0eac1c146e9e62df9ec70f5a6f69d"> 564</a></span>  <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1PastixLLT.html#a05a0eac1c146e9e62df9ec70f5a6f69d">compute</a> (<span class="keyword">const</span> MatrixType& matrix)</div>
<div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  {</div>
<div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  <a class="code" href="classEigen_1_1SparseMatrix.html">ColSpMatrix</a> temp;</div>
<div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  grabMatrix(matrix, temp);</div>
<div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  Base::compute(temp);</div>
<div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  }</div>
<div class="line"><a name="l00570"></a><span class="lineno"> 570</span> </div>
<div class="line"><a name="l00575"></a><span class="lineno"><a class="line" href="classEigen_1_1PastixLLT.html#a6f2a135bd741b6b2f2558e6a404581ff"> 575</a></span>  <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1PastixLLT.html#a6f2a135bd741b6b2f2558e6a404581ff">analyzePattern</a>(<span class="keyword">const</span> MatrixType& matrix)</div>
<div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  {</div>
<div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <a class="code" href="classEigen_1_1SparseMatrix.html">ColSpMatrix</a> temp;</div>
<div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  grabMatrix(matrix, temp);</div>
<div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  Base::analyzePattern(temp);</div>
<div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  }</div>
<div class="line"><a name="l00584"></a><span class="lineno"><a class="line" href="classEigen_1_1PastixLLT.html#a33e2421e468033a883c041f940537a7c"> 584</a></span>  <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1PastixLLT.html#a33e2421e468033a883c041f940537a7c">factorize</a>(<span class="keyword">const</span> MatrixType& matrix)</div>
<div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  {</div>
<div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  <a class="code" href="classEigen_1_1SparseMatrix.html">ColSpMatrix</a> temp;</div>
<div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  grabMatrix(matrix, temp);</div>
<div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  Base::factorize(temp);</div>
<div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  }</div>
<div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  <span class="keyword">using</span> Base::m_iparm;</div>
<div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  </div>
<div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  <span class="keywordtype">void</span> init()</div>
<div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  {</div>
<div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  m_iparm(IPARM_SYM) = API_SYM_YES;</div>
<div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  m_iparm(IPARM_FACTORIZATION) = API_FACT_LLT;</div>
<div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  }</div>
<div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  </div>
<div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  <span class="keywordtype">void</span> grabMatrix(<span class="keyword">const</span> MatrixType& matrix, ColSpMatrix& out)</div>
<div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  {</div>
<div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  <span class="comment">// Pastix supports only lower, column-major matrices </span></div>
<div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  out.template selfadjointView<Lower>() = matrix.template selfadjointView<UpLo>();</div>
<div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  internal::c_to_fortran_numbering(out);</div>
<div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  }</div>
<div class="line"><a name="l00605"></a><span class="lineno"> 605</span> };</div>
<div class="line"><a name="l00606"></a><span class="lineno"> 606</span> </div>
<div class="line"><a name="l00621"></a><span class="lineno"> 621</span> <span class="keyword">template</span><<span class="keyword">typename</span> _MatrixType, <span class="keywordtype">int</span> _UpLo></div>
<div class="line"><a name="l00622"></a><span class="lineno"> 622</span> <span class="keyword">class </span>PastixLDLT : <span class="keyword">public</span> PastixBase< PastixLDLT<_MatrixType, _UpLo> ></div>
<div class="line"><a name="l00623"></a><span class="lineno"> 623</span> {</div>
<div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  <span class="keyword">typedef</span> _MatrixType MatrixType;</div>
<div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  <span class="keyword">typedef</span> PastixBase<PastixLDLT<MatrixType, _UpLo> > Base; </div>
<div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Base::ColSpMatrix ColSpMatrix;</div>
<div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  </div>
<div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  <span class="keyword">enum</span> { UpLo = _UpLo };</div>
<div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  PastixLDLT():Base()</div>
<div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  {</div>
<div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  init();</div>
<div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  }</div>
<div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  </div>
<div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  PastixLDLT(<span class="keyword">const</span> MatrixType& matrix):Base()</div>
<div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  {</div>
<div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  init();</div>
<div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  <a class="code" href="classEigen_1_1PastixLDLT.html#a05a0eac1c146e9e62df9ec70f5a6f69d">compute</a>(matrix);</div>
<div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  }</div>
<div class="line"><a name="l00641"></a><span class="lineno"> 641</span> </div>
<div class="line"><a name="l00645"></a><span class="lineno"><a class="line" href="classEigen_1_1PastixLDLT.html#a05a0eac1c146e9e62df9ec70f5a6f69d"> 645</a></span>  <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1PastixLDLT.html#a05a0eac1c146e9e62df9ec70f5a6f69d">compute</a> (<span class="keyword">const</span> MatrixType& matrix)</div>
<div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  {</div>
<div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  <a class="code" href="classEigen_1_1SparseMatrix.html">ColSpMatrix</a> temp;</div>
<div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  grabMatrix(matrix, temp);</div>
<div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  Base::compute(temp);</div>
<div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  }</div>
<div class="line"><a name="l00651"></a><span class="lineno"> 651</span> </div>
<div class="line"><a name="l00656"></a><span class="lineno"><a class="line" href="classEigen_1_1PastixLDLT.html#a6f2a135bd741b6b2f2558e6a404581ff"> 656</a></span>  <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1PastixLDLT.html#a6f2a135bd741b6b2f2558e6a404581ff">analyzePattern</a>(<span class="keyword">const</span> MatrixType& matrix)</div>
<div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  { </div>
<div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  <a class="code" href="classEigen_1_1SparseMatrix.html">ColSpMatrix</a> temp;</div>
<div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  grabMatrix(matrix, temp);</div>
<div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  Base::analyzePattern(temp);</div>
<div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  }</div>
<div class="line"><a name="l00665"></a><span class="lineno"><a class="line" href="classEigen_1_1PastixLDLT.html#a33e2421e468033a883c041f940537a7c"> 665</a></span>  <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1PastixLDLT.html#a33e2421e468033a883c041f940537a7c">factorize</a>(<span class="keyword">const</span> MatrixType& matrix)</div>
<div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  {</div>
<div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  <a class="code" href="classEigen_1_1SparseMatrix.html">ColSpMatrix</a> temp;</div>
<div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  grabMatrix(matrix, temp);</div>
<div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  Base::factorize(temp);</div>
<div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  }</div>
<div class="line"><a name="l00671"></a><span class="lineno"> 671</span> </div>
<div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  <span class="keyword">using</span> Base::m_iparm;</div>
<div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  </div>
<div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  <span class="keywordtype">void</span> init()</div>
<div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  {</div>
<div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  m_iparm(IPARM_SYM) = API_SYM_YES;</div>
<div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  m_iparm(IPARM_FACTORIZATION) = API_FACT_LDLT;</div>
<div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  }</div>
<div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  </div>
<div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  <span class="keywordtype">void</span> grabMatrix(<span class="keyword">const</span> MatrixType& matrix, ColSpMatrix& out)</div>
<div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  {</div>
<div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  <span class="comment">// Pastix supports only lower, column-major matrices </span></div>
<div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  out.template selfadjointView<Lower>() = matrix.template selfadjointView<UpLo>();</div>
<div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  internal::c_to_fortran_numbering(out);</div>
<div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  }</div>
<div class="line"><a name="l00687"></a><span class="lineno"> 687</span> };</div>
<div class="line"><a name="l00688"></a><span class="lineno"> 688</span> </div>
<div class="line"><a name="l00689"></a><span class="lineno"> 689</span> <span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00690"></a><span class="lineno"> 690</span> </div>
<div class="line"><a name="l00691"></a><span class="lineno"> 691</span> <span class="keyword">template</span><<span class="keyword">typename</span> _MatrixType, <span class="keyword">typename</span> Rhs></div>
<div class="line"><a name="l00692"></a><span class="lineno"> 692</span> <span class="keyword">struct </span>solve_retval<PastixBase<_MatrixType>, Rhs></div>
<div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  : solve_retval_base<PastixBase<_MatrixType>, Rhs></div>
<div class="line"><a name="l00694"></a><span class="lineno"> 694</span> {</div>
<div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  <span class="keyword">typedef</span> PastixBase<_MatrixType> Dec;</div>
<div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  EIGEN_MAKE_SOLVE_HELPERS(Dec,Rhs)</div>
<div class="line"><a name="l00697"></a><span class="lineno"> 697</span> </div>
<div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  template<typename Dest> <span class="keywordtype">void</span> evalTo(Dest& dst)<span class="keyword"> const</span></div>
<div class="line"><a name="l00699"></a><span class="lineno"> 699</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  dec()._solve(rhs(),dst);</div>
<div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  }</div>
<div class="line"><a name="l00702"></a><span class="lineno"> 702</span> };</div>
<div class="line"><a name="l00703"></a><span class="lineno"> 703</span> </div>
<div class="line"><a name="l00704"></a><span class="lineno"> 704</span> <span class="keyword">template</span><<span class="keyword">typename</span> _MatrixType, <span class="keyword">typename</span> Rhs></div>
<div class="line"><a name="l00705"></a><span class="lineno"> 705</span> <span class="keyword">struct </span>sparse_solve_retval<PastixBase<_MatrixType>, Rhs></div>
<div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  : sparse_solve_retval_base<PastixBase<_MatrixType>, Rhs></div>
<div class="line"><a name="l00707"></a><span class="lineno"> 707</span> {</div>
<div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  <span class="keyword">typedef</span> PastixBase<_MatrixType> Dec;</div>
<div class="line"><a name="l00709"></a><span class="lineno"> 709</span>  EIGEN_MAKE_SPARSE_SOLVE_HELPERS(Dec,Rhs)</div>
<div class="line"><a name="l00710"></a><span class="lineno"> 710</span> </div>
<div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  template<typename Dest> <span class="keywordtype">void</span> evalTo(Dest& dst)<span class="keyword"> const</span></div>
<div class="line"><a name="l00712"></a><span class="lineno"> 712</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  this->defaultEvalTo(dst);</div>
<div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  }</div>
<div class="line"><a name="l00715"></a><span class="lineno"> 715</span> };</div>
<div class="line"><a name="l00716"></a><span class="lineno"> 716</span> </div>
<div class="line"><a name="l00717"></a><span class="lineno"> 717</span> } <span class="comment">// end namespace internal</span></div>
<div class="line"><a name="l00718"></a><span class="lineno"> 718</span> </div>
<div class="line"><a name="l00719"></a><span class="lineno"> 719</span> } <span class="comment">// end namespace Eigen</span></div>
<div class="line"><a name="l00720"></a><span class="lineno"> 720</span> </div>
<div class="line"><a name="l00721"></a><span class="lineno"> 721</span> <span class="preprocessor">#endif</span></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_gga51bc1ac16f26ebe51eae1abb77bd037ba710fff14e8fc77846d4b75d8f4cc2d5c"><div class="ttname"><a href="group__enums.html#gga51bc1ac16f26ebe51eae1abb77bd037ba710fff14e8fc77846d4b75d8f4cc2d5c">Eigen::NumericalIssue</a></div><div class="ttdef"><b>Definition:</b> Constants.h:378</div></div>
<div class="ttc" id="classEigen_1_1PastixLDLT_html"><div class="ttname"><a href="classEigen_1_1PastixLDLT.html">Eigen::PastixLDLT</a></div><div class="ttdoc">A sparse direct supernodal Cholesky (LLT) factorization and solver based on the PaStiX library...</div><div class="ttdef"><b>Definition:</b> PaStiXSupport.h:25</div></div>
<div class="ttc" id="classEigen_1_1PastixLDLT_html_a6f2a135bd741b6b2f2558e6a404581ff"><div class="ttname"><a href="classEigen_1_1PastixLDLT.html#a6f2a135bd741b6b2f2558e6a404581ff">Eigen::PastixLDLT::analyzePattern</a></div><div class="ttdeci">void analyzePattern(const MatrixType &matrix)</div><div class="ttdef"><b>Definition:</b> PaStiXSupport.h:656</div></div>
<div class="ttc" id="classEigen_1_1PastixLLT_html_a6f2a135bd741b6b2f2558e6a404581ff"><div class="ttname"><a href="classEigen_1_1PastixLLT.html#a6f2a135bd741b6b2f2558e6a404581ff">Eigen::PastixLLT::analyzePattern</a></div><div class="ttdeci">void analyzePattern(const MatrixType &matrix)</div><div class="ttdef"><b>Definition:</b> PaStiXSupport.h:575</div></div>
<div class="ttc" id="classEigen_1_1PastixLDLT_html_a05a0eac1c146e9e62df9ec70f5a6f69d"><div class="ttname"><a href="classEigen_1_1PastixLDLT.html#a05a0eac1c146e9e62df9ec70f5a6f69d">Eigen::PastixLDLT::compute</a></div><div class="ttdeci">void compute(const MatrixType &matrix)</div><div class="ttdef"><b>Definition:</b> PaStiXSupport.h:645</div></div>
<div class="ttc" id="classEigen_1_1PastixLDLT_html_a33e2421e468033a883c041f940537a7c"><div class="ttname"><a href="classEigen_1_1PastixLDLT.html#a33e2421e468033a883c041f940537a7c">Eigen::PastixLDLT::factorize</a></div><div class="ttdeci">void factorize(const MatrixType &matrix)</div><div class="ttdef"><b>Definition:</b> PaStiXSupport.h:665</div></div>
<div class="ttc" id="group__enums_html_gga51bc1ac16f26ebe51eae1abb77bd037bae1252631a63be5890a1e78ff417d378f"><div class="ttname"><a href="group__enums.html#gga51bc1ac16f26ebe51eae1abb77bd037bae1252631a63be5890a1e78ff417d378f">Eigen::InvalidInput</a></div><div class="ttdef"><b>Definition:</b> Constants.h:383</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_af080d3d3f82e0d4391f19af22a5eedb8"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#af080d3d3f82e0d4391f19af22a5eedb8">Eigen::SparseMatrix::outerSize</a></div><div class="ttdeci">Index outerSize() const </div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:126</div></div>
<div class="ttc" id="classEigen_1_1PastixLU_html_a6f2a135bd741b6b2f2558e6a404581ff"><div class="ttname"><a href="classEigen_1_1PastixLU.html#a6f2a135bd741b6b2f2558e6a404581ff">Eigen::PastixLU::analyzePattern</a></div><div class="ttdeci">void analyzePattern(const MatrixType &matrix)</div><div class="ttdef"><b>Definition:</b> PaStiXSupport.h:467</div></div>
<div class="ttc" id="group__enums_html_gga51bc1ac16f26ebe51eae1abb77bd037bafdfbdf3247bd36a1f17270d5cec74c9c"><div class="ttname"><a href="group__enums.html#gga51bc1ac16f26ebe51eae1abb77bd037bafdfbdf3247bd36a1f17270d5cec74c9c">Eigen::Success</a></div><div class="ttdef"><b>Definition:</b> Constants.h:376</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_1PastixLU_html"><div class="ttname"><a href="classEigen_1_1PastixLU.html">Eigen::PastixLU</a></div><div class="ttdoc">Interface to the PaStix solver. </div><div class="ttdef"><b>Definition:</b> PaStiXSupport.h:23</div></div>
<div class="ttc" id="classEigen_1_1PastixLLT_html"><div class="ttname"><a href="classEigen_1_1PastixLLT.html">Eigen::PastixLLT</a></div><div class="ttdoc">A sparse direct supernodal Cholesky (LLT) factorization and solver based on the PaStiX library...</div><div class="ttdef"><b>Definition:</b> PaStiXSupport.h:24</div></div>
<div class="ttc" id="classEigen_1_1PastixLLT_html_a33e2421e468033a883c041f940537a7c"><div class="ttname"><a href="classEigen_1_1PastixLLT.html#a33e2421e468033a883c041f940537a7c">Eigen::PastixLLT::factorize</a></div><div class="ttdeci">void factorize(const MatrixType &matrix)</div><div class="ttdef"><b>Definition:</b> PaStiXSupport.h:584</div></div>
<div class="ttc" id="group__enums_html_ga51bc1ac16f26ebe51eae1abb77bd037b"><div class="ttname"><a href="group__enums.html#ga51bc1ac16f26ebe51eae1abb77bd037b">Eigen::ComputationInfo</a></div><div class="ttdeci">ComputationInfo</div><div class="ttdef"><b>Definition:</b> Constants.h:374</div></div>
<div class="ttc" id="classEigen_1_1PastixLU_html_a05a0eac1c146e9e62df9ec70f5a6f69d"><div class="ttname"><a href="classEigen_1_1PastixLU.html#a05a0eac1c146e9e62df9ec70f5a6f69d">Eigen::PastixLU::compute</a></div><div class="ttdeci">void compute(const MatrixType &matrix)</div><div class="ttdef"><b>Definition:</b> PaStiXSupport.h:455</div></div>
<div class="ttc" id="classEigen_1_1PastixLU_html_a33e2421e468033a883c041f940537a7c"><div class="ttname"><a href="classEigen_1_1PastixLU.html#a33e2421e468033a883c041f940537a7c">Eigen::PastixLU::factorize</a></div><div class="ttdeci">void factorize(const MatrixType &matrix)</div><div class="ttdef"><b>Definition:</b> PaStiXSupport.h:480</div></div>
<div class="ttc" id="classEigen_1_1PastixLLT_html_a05a0eac1c146e9e62df9ec70f5a6f69d"><div class="ttname"><a href="classEigen_1_1PastixLLT.html#a05a0eac1c146e9e62df9ec70f5a6f69d">Eigen::PastixLLT::compute</a></div><div class="ttdeci">void compute(const MatrixType &matrix)</div><div class="ttdef"><b>Definition:</b> PaStiXSupport.h:564</div></div>
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