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<div class="title">TriangularSolverVector.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) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr></span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment">//</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment">// This Source Code Form is subject to the terms of the Mozilla</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment">// Public License v. 2.0. If a copy of the MPL was not distributed</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment">// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#ifndef EIGEN_TRIANGULAR_SOLVER_VECTOR_H</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor"></span><span class="preprocessor">#define EIGEN_TRIANGULAR_SOLVER_VECTOR_H</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor"></span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="keyword">namespace </span>Eigen { </div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> </div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="keyword">template</span><<span class="keyword">typename</span> LhsScalar, <span class="keyword">typename</span> RhsScalar, <span class="keyword">typename</span> Index, <span class="keywordtype">int</span> Mode, <span class="keywordtype">bool</span> Conjugate, <span class="keywordtype">int</span> StorageOrder></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="keyword">struct </span>triangular_solve_vector<LhsScalar, RhsScalar, Index, <a class="code" href="group__enums.html#gga3f4a95405348aa63ef907e692901011faeda0d7b1859ec757de18ee3b7c6c541c">OnTheRight</a>, Mode, Conjugate, StorageOrder></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> {</div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> run(Index size, <span class="keyword">const</span> LhsScalar* _lhs, Index lhsStride, RhsScalar* rhs)</div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  {</div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  triangular_solve_vector<LhsScalar,RhsScalar,Index,<a class="code" href="group__enums.html#gga3f4a95405348aa63ef907e692901011fa02217d2d79111440646e3b00c747745f">OnTheLeft</a>,</div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  ((Mode&<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bae70afef0d3ff7aca74e17e85ff6c9f2e">Upper</a>)==<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bae70afef0d3ff7aca74e17e85ff6c9f2e">Upper</a> ? <a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910baf886b397626076218462d53d50eb96bc">Lower</a> : <a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bae70afef0d3ff7aca74e17e85ff6c9f2e">Upper</a>) | (Mode&<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bab051342541ee4cd3d2d7d710ba7c8a2d">UnitDiag</a>),</div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  Conjugate,StorageOrder==<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>?<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>:<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a></div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  >::run(size, _lhs, lhsStride, rhs);</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> };</div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  </div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="comment">// forward and backward substitution, row-major, rhs is a vector</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keyword">template</span><<span class="keyword">typename</span> LhsScalar, <span class="keyword">typename</span> RhsScalar, <span class="keyword">typename</span> Index, <span class="keywordtype">int</span> Mode, <span class="keywordtype">bool</span> Conjugate></div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="keyword">struct </span>triangular_solve_vector<LhsScalar, RhsScalar, Index, <a class="code" href="group__enums.html#gga3f4a95405348aa63ef907e692901011fa02217d2d79111440646e3b00c747745f">OnTheLeft</a>, Mode, Conjugate, <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> {</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  IsLower = ((Mode&<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910baf886b397626076218462d53d50eb96bc">Lower</a>)==<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910baf886b397626076218462d53d50eb96bc">Lower</a>)</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  };</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> run(Index size, <span class="keyword">const</span> LhsScalar* _lhs, Index lhsStride, RhsScalar* rhs)</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  {</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keyword">typedef</span> Map<const Matrix<LhsScalar,Dynamic,Dynamic,RowMajor>, 0, OuterStride<> > LhsMap;</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keyword">const</span> LhsMap lhs(_lhs,size,size,OuterStride<>(lhsStride));</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keyword">typename</span> internal::conditional<</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  Conjugate,</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keyword">const</span> CwiseUnaryOp<typename internal::scalar_conjugate_op<LhsScalar>,LhsMap>,</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keyword">const</span> LhsMap&></div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  ::type cjLhs(lhs);</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keyword">static</span> <span class="keyword">const</span> Index PanelWidth = EIGEN_TUNE_TRIANGULAR_PANEL_WIDTH;</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordflow">for</span>(Index pi=IsLower ? 0 : size;</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  IsLower ? pi<size : pi>0;</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  IsLower ? pi+=PanelWidth : pi-=PanelWidth)</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>  Index actualPanelWidth = (std::min)(IsLower ? size - pi : pi, PanelWidth);</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span> </div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  Index r = IsLower ? pi : size - pi; <span class="comment">// remaining size</span></div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordflow">if</span> (r > 0)</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  {</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="comment">// let's directly call the low level product function because:</span></div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="comment">// 1 - it is faster to compile</span></div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="comment">// 2 - it is slighlty faster at runtime</span></div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  Index startRow = IsLower ? pi : pi-actualPanelWidth;</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  Index startCol = IsLower ? 0 : pi;</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>  general_matrix_vector_product<Index,LhsScalar,RowMajor,Conjugate,RhsScalar,false>::run(</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  actualPanelWidth, r,</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  &lhs.coeffRef(startRow,startCol), lhsStride,</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  rhs + startCol, 1,</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  rhs + startRow, 1,</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  RhsScalar(-1));</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  }</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">for</span>(Index k=0; k<actualPanelWidth; ++k)</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  {</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  Index i = IsLower ? pi+k : pi-k-1;</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  Index s = IsLower ? pi : i+1;</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordflow">if</span> (k>0)</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<<span class="keyword">const</span> Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  </div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">if</span>(!(Mode & <a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bab051342541ee4cd3d2d7d710ba7c8a2d">UnitDiag</a>))</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  rhs[i] /= cjLhs(i,i);</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>  }</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> </div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="comment">// forward and backward substitution, column-major, rhs is a vector</span></div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="keyword">template</span><<span class="keyword">typename</span> LhsScalar, <span class="keyword">typename</span> RhsScalar, <span class="keyword">typename</span> Index, <span class="keywordtype">int</span> Mode, <span class="keywordtype">bool</span> Conjugate></div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="keyword">struct </span>triangular_solve_vector<LhsScalar, RhsScalar, Index, <a class="code" href="group__enums.html#gga3f4a95405348aa63ef907e692901011fa02217d2d79111440646e3b00c747745f">OnTheLeft</a>, Mode, Conjugate, <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>></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="keyword">enum</span> {</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  IsLower = ((Mode&<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910baf886b397626076218462d53d50eb96bc">Lower</a>)==<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910baf886b397626076218462d53d50eb96bc">Lower</a>)</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  };</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> run(Index size, <span class="keyword">const</span> LhsScalar* _lhs, Index lhsStride, RhsScalar* rhs)</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  {</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keyword">typedef</span> Map<const Matrix<LhsScalar,Dynamic,Dynamic,ColMajor>, 0, OuterStride<> > LhsMap;</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keyword">const</span> LhsMap lhs(_lhs,size,size,OuterStride<>(lhsStride));</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keyword">typename</span> internal::conditional<Conjugate,</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keyword">const</span> CwiseUnaryOp<typename internal::scalar_conjugate_op<LhsScalar>,LhsMap>,</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keyword">const</span> LhsMap&</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  >::type cjLhs(lhs);</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keyword">static</span> <span class="keyword">const</span> Index PanelWidth = EIGEN_TUNE_TRIANGULAR_PANEL_WIDTH;</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>  <span class="keywordflow">for</span>(Index pi=IsLower ? 0 : size;</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  IsLower ? pi<size : pi>0;</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  IsLower ? pi+=PanelWidth : pi-=PanelWidth)</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  {</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  Index actualPanelWidth = (std::min)(IsLower ? size - pi : pi, PanelWidth);</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  Index startBlock = IsLower ? pi : pi-actualPanelWidth;</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  Index endBlock = IsLower ? pi + actualPanelWidth : 0;</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordflow">for</span>(Index k=0; k<actualPanelWidth; ++k)</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  {</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  Index i = IsLower ? pi+k : pi-k-1;</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordflow">if</span>(!(Mode & <a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bab051342541ee4cd3d2d7d710ba7c8a2d">UnitDiag</a>))</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  rhs[i] /= cjLhs.coeff(i,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>  Index r = actualPanelWidth - k - 1; <span class="comment">// remaining size</span></div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  Index s = IsLower ? i+1 : i-r;</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordflow">if</span> (r>0)</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  Map<Matrix<RhsScalar,Dynamic,1> >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r);</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  }</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  Index r = IsLower ? size - endBlock : startBlock; <span class="comment">// remaining size</span></div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keywordflow">if</span> (r > 0)</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="comment">// let's directly call the low level product function because:</span></div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="comment">// 1 - it is faster to compile</span></div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="comment">// 2 - it is slighlty faster at runtime</span></div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  general_matrix_vector_product<Index,LhsScalar,ColMajor,Conjugate,RhsScalar,false>::run(</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  r, actualPanelWidth,</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  &lhs.coeffRef(endBlock,startBlock), lhsStride,</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  rhs+startBlock, 1,</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  rhs+endBlock, 1, RhsScalar(-1));</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>  }</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> };</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> } <span class="comment">// end namespace internal</span></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> } <span class="comment">// end namespace Eigen</span></div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span> </div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span> <span class="preprocessor">#endif // EIGEN_TRIANGULAR_SOLVER_VECTOR_H</span></div>
<div class="ttc" id="group__enums_html_gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044"><div class="ttname"><a href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">Eigen::RowMajor</a></div><div class="ttdef"><b>Definition:</b> Constants.h:266</div></div>
<div class="ttc" id="group__enums_html_gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf"><div class="ttname"><a href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">Eigen::ColMajor</a></div><div class="ttdef"><b>Definition:</b> Constants.h:264</div></div>
<div class="ttc" id="group__enums_html_ggab59c1bec446b10af208f977a871d910bab051342541ee4cd3d2d7d710ba7c8a2d"><div class="ttname"><a href="group__enums.html#ggab59c1bec446b10af208f977a871d910bab051342541ee4cd3d2d7d710ba7c8a2d">Eigen::UnitDiag</a></div><div class="ttdef"><b>Definition:</b> Constants.h:171</div></div>
<div class="ttc" id="group__enums_html_gga3f4a95405348aa63ef907e692901011faeda0d7b1859ec757de18ee3b7c6c541c"><div class="ttname"><a href="group__enums.html#gga3f4a95405348aa63ef907e692901011faeda0d7b1859ec757de18ee3b7c6c541c">Eigen::OnTheRight</a></div><div class="ttdef"><b>Definition:</b> Constants.h:279</div></div>
<div class="ttc" id="group__enums_html_ggab59c1bec446b10af208f977a871d910bae70afef0d3ff7aca74e17e85ff6c9f2e"><div class="ttname"><a href="group__enums.html#ggab59c1bec446b10af208f977a871d910bae70afef0d3ff7aca74e17e85ff6c9f2e">Eigen::Upper</a></div><div class="ttdef"><b>Definition:</b> Constants.h:169</div></div>
<div class="ttc" id="group__enums_html_ggab59c1bec446b10af208f977a871d910baf886b397626076218462d53d50eb96bc"><div class="ttname"><a href="group__enums.html#ggab59c1bec446b10af208f977a871d910baf886b397626076218462d53d50eb96bc">Eigen::Lower</a></div><div class="ttdef"><b>Definition:</b> Constants.h:167</div></div>
<div class="ttc" id="group__enums_html_gga3f4a95405348aa63ef907e692901011fa02217d2d79111440646e3b00c747745f"><div class="ttname"><a href="group__enums.html#gga3f4a95405348aa63ef907e692901011fa02217d2d79111440646e3b00c747745f">Eigen::OnTheLeft</a></div><div class="ttdef"><b>Definition:</b> Constants.h:277</div></div>
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