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<div class="title">KroneckerTensorProduct.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) 2011 Kolja Brix <brix@igpm.rwth-aachen.de></span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment">// Copyright (C) 2011 Andreas Platen <andiplaten@gmx.de></span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment">// Copyright (C) 2012 Chen-Pang He <jdh8@ms63.hinet.net></span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment">//</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment">// This Source Code Form is subject to the terms of the Mozilla</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</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="l00010"></a><span class="lineno"> 10</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="l00011"></a><span class="lineno"> 11</span> </div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#ifndef KRONECKER_TENSOR_PRODUCT_H</span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor"></span><span class="preprocessor">#define KRONECKER_TENSOR_PRODUCT_H</span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor"></span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">namespace </span>Eigen { </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> Scalar, <span class="keywordtype">int</span> Options, <span class="keyword">typename</span> Index> <span class="keyword">class </span>SparseMatrix;</div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> </div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs></div>
<div class="line"><a name="l00030"></a><span class="lineno"><a class="line" href="classEigen_1_1KroneckerProduct.html"> 30</a></span> <span class="keyword">class </span><a class="code" href="classEigen_1_1KroneckerProduct.html">KroneckerProduct</a> : <span class="keyword">public</span> ReturnByValue<KroneckerProduct<Lhs,Rhs> ></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">private</span>:</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keyword">typedef</span> ReturnByValue<KroneckerProduct> Base;</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Base::Scalar Scalar;</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Base::Index Index;</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="classEigen_1_1KroneckerProduct.html#a73212557fed8d9b3c415c0c57dd2a98e"> 39</a></span>  <a class="code" href="classEigen_1_1KroneckerProduct.html#a73212557fed8d9b3c415c0c57dd2a98e">KroneckerProduct</a>(<span class="keyword">const</span> Lhs& A, <span class="keyword">const</span> Rhs& B)</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  : m_A(A), m_B(B)</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  {}</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Dest> <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1KroneckerProduct.html#a4bce1b0cbd668b88d690b6016a529b7c">evalTo</a>(Dest& dst) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  </div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keyword">inline</span> Index rows()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_A.rows() * m_B.rows(); }</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keyword">inline</span> Index cols()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_A.cols() * m_B.cols(); }</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>  Scalar coeff(Index row, Index col)<span class="keyword"> const</span></div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordflow">return</span> m_A.coeff(row / m_B.rows(), col / m_B.cols()) *</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  m_B.coeff(row % m_B.rows(), col % m_B.cols());</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  }</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  Scalar coeff(Index i)<span class="keyword"> const</span></div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  EIGEN_STATIC_ASSERT_VECTOR_ONLY(<a class="code" href="classEigen_1_1KroneckerProduct.html#a73212557fed8d9b3c415c0c57dd2a98e">KroneckerProduct</a>);</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordflow">return</span> m_A.coeff(i / m_A.size()) * m_B.coeff(i % m_A.size());</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  }</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keyword">private</span>:</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keyword">typename</span> Lhs::Nested m_A;</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keyword">typename</span> Rhs::Nested m_B;</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="l00079"></a><span class="lineno"> 79</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs></div>
<div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="classEigen_1_1KroneckerProductSparse.html"> 80</a></span> <span class="keyword">class </span><a class="code" href="classEigen_1_1KroneckerProductSparse.html">KroneckerProductSparse</a> : <span class="keyword">public</span> EigenBase<KroneckerProductSparse<Lhs,Rhs> ></div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span> {</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keyword">private</span>:</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::traits<KroneckerProductSparse>::Index Index;</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span> </div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00087"></a><span class="lineno"><a class="line" href="classEigen_1_1KroneckerProductSparse.html#a5070a9f0e4ab4ab01ef01b1d88ed81d0"> 87</a></span>  <a class="code" href="classEigen_1_1KroneckerProductSparse.html#a5070a9f0e4ab4ab01ef01b1d88ed81d0">KroneckerProductSparse</a>(<span class="keyword">const</span> Lhs& A, <span class="keyword">const</span> Rhs& B)</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  : m_A(A), m_B(B)</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> </div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Dest> <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1KroneckerProductSparse.html#a4bce1b0cbd668b88d690b6016a529b7c">evalTo</a>(Dest& dst) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  </div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keyword">inline</span> Index rows()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_A.rows() * m_B.rows(); }</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keyword">inline</span> Index cols()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_A.cols() * m_B.cols(); }</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span> </div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Scalar, <span class="keywordtype">int</span> Options, <span class="keyword">typename</span> Index></div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keyword">operator</span> SparseMatrix<Scalar, Options, Index>()</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>  SparseMatrix<Scalar, Options, Index> result;</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <a class="code" href="classEigen_1_1KroneckerProductSparse.html#a4bce1b0cbd668b88d690b6016a529b7c">evalTo</a>(result.derived());</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordflow">return</span> result;</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> </div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keyword">private</span>:</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keyword">typename</span> Lhs::Nested m_A;</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keyword">typename</span> Rhs::Nested m_B;</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span> };</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs></div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="keyword">template</span><<span class="keyword">typename</span> Dest></div>
<div class="line"><a name="l00112"></a><span class="lineno"><a class="line" href="classEigen_1_1KroneckerProduct.html#a4bce1b0cbd668b88d690b6016a529b7c"> 112</a></span> <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1KroneckerProduct.html#a4bce1b0cbd668b88d690b6016a529b7c">KroneckerProduct<Lhs,Rhs>::evalTo</a>(Dest& dst)<span class="keyword"> const</span></div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> BlockRows = Rhs::RowsAtCompileTime,</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  BlockCols = Rhs::ColsAtCompileTime;</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keyword">const</span> Index Br = m_B.rows(),</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  Bc = m_B.cols();</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordflow">for</span> (Index i=0; i < m_A.rows(); ++i)</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordflow">for</span> (Index j=0; j < m_A.cols(); ++j)</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  Block<Dest,BlockRows,BlockCols>(dst,i*Br,j*Bc,Br,Bc) = m_A.coeff(i,j) * m_B;</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span> }</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs></div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span> <span class="keyword">template</span><<span class="keyword">typename</span> Dest></div>
<div class="line"><a name="l00125"></a><span class="lineno"><a class="line" href="classEigen_1_1KroneckerProductSparse.html#a4bce1b0cbd668b88d690b6016a529b7c"> 125</a></span> <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1KroneckerProductSparse.html#a4bce1b0cbd668b88d690b6016a529b7c">KroneckerProductSparse<Lhs,Rhs>::evalTo</a>(Dest& dst)<span class="keyword"> const</span></div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keyword">const</span> Index Br = m_B.rows(),</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  Bc = m_B.cols();</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  dst.resize(rows(),cols());</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  dst.resizeNonZeros(0);</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  dst.reserve(m_A.nonZeros() * m_B.nonZeros());</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>  <span class="keywordflow">for</span> (Index kA=0; kA < m_A.outerSize(); ++kA)</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="keywordflow">for</span> (Index kB=0; kB < m_B.outerSize(); ++kB)</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="keywordflow">for</span> (<span class="keyword">typename</span> Lhs::InnerIterator itA(m_A,kA); itA; ++itA)</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="keywordflow">for</span> (<span class="keyword">typename</span> Rhs::InnerIterator itB(m_B,kB); itB; ++itB)</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  {</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keyword">const</span> Index i = itA.row() * Br + itB.row(),</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  j = itA.col() * Bc + itB.col();</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  dst.insert(i,j) = itA.value() * itB.value();</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  }</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  }</div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  }</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  }</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span> }</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span> </div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span> <span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span> </div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span> <span class="keyword">template</span><<span class="keyword">typename</span> _Lhs, <span class="keyword">typename</span> _Rhs></div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span> <span class="keyword">struct </span>traits<<a class="code" href="classEigen_1_1KroneckerProduct.html">KroneckerProduct</a><_Lhs,_Rhs> ></div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span> {</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> remove_all<_Lhs>::type Lhs;</div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> remove_all<_Rhs>::type Rhs;</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> scalar_product_traits<typename Lhs::Scalar, typename Rhs::Scalar>::ReturnType Scalar;</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span> </div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  Rows = size_at_compile_time<traits<Lhs>::RowsAtCompileTime, traits<Rhs>::RowsAtCompileTime>::ret,</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  Cols = size_at_compile_time<traits<Lhs>::ColsAtCompileTime, traits<Rhs>::ColsAtCompileTime>::ret,</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  MaxRows = size_at_compile_time<traits<Lhs>::MaxRowsAtCompileTime, traits<Rhs>::MaxRowsAtCompileTime>::ret,</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  MaxCols = size_at_compile_time<traits<Lhs>::MaxColsAtCompileTime, traits<Rhs>::MaxColsAtCompileTime>::ret,</div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  CoeffReadCost = Lhs::CoeffReadCost + Rhs::CoeffReadCost + NumTraits<Scalar>::MulCost</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  };</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span> </div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keyword">typedef</span> Matrix<Scalar,Rows,Cols> ReturnType;</div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span> };</div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span> <span class="keyword">template</span><<span class="keyword">typename</span> _Lhs, <span class="keyword">typename</span> _Rhs></div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span> <span class="keyword">struct </span>traits<KroneckerProductSparse<_Lhs,_Rhs> ></div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span> {</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keyword">typedef</span> MatrixXpr XprKind;</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> remove_all<_Lhs>::type Lhs;</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> remove_all<_Rhs>::type Rhs;</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> scalar_product_traits<typename Lhs::Scalar, typename Rhs::Scalar>::ReturnType Scalar;</div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> promote_storage_type<typename traits<Lhs>::StorageKind, <span class="keyword">typename</span> traits<Rhs>::StorageKind>::ret StorageKind;</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> promote_index_type<typename Lhs::Index, typename Rhs::Index>::type Index;</div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  LhsFlags = Lhs::Flags,</div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  RhsFlags = Rhs::Flags,</div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span> </div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  RowsAtCompileTime = size_at_compile_time<traits<Lhs>::RowsAtCompileTime, traits<Rhs>::RowsAtCompileTime>::ret,</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  ColsAtCompileTime = size_at_compile_time<traits<Lhs>::ColsAtCompileTime, traits<Rhs>::ColsAtCompileTime>::ret,</div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  MaxRowsAtCompileTime = size_at_compile_time<traits<Lhs>::MaxRowsAtCompileTime, traits<Rhs>::MaxRowsAtCompileTime>::ret,</div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  MaxColsAtCompileTime = size_at_compile_time<traits<Lhs>::MaxColsAtCompileTime, traits<Rhs>::MaxColsAtCompileTime>::ret,</div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span> </div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  EvalToRowMajor = (LhsFlags & RhsFlags & RowMajorBit),</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  RemovedBits = ~(EvalToRowMajor ? 0 : RowMajorBit),</div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span> </div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  Flags = ((LhsFlags | RhsFlags) & HereditaryBits & RemovedBits)</div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  | EvalBeforeNestingBit | EvalBeforeAssigningBit,</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  CoeffReadCost = Dynamic</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="l00198"></a><span class="lineno"> 198</span> } <span class="comment">// end namespace internal</span></div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span> </div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span> <span class="keyword">template</span><<span class="keyword">typename</span> A, <span class="keyword">typename</span> B></div>
<div class="line"><a name="l00220"></a><span class="lineno"><a class="line" href="group__KroneckerProduct__Module.html#gaa8924dffc6cee7aa1e908dc395a7a167"> 220</a></span> <a class="code" href="classEigen_1_1KroneckerProduct.html">KroneckerProduct<A,B></a> <a class="code" href="group__KroneckerProduct__Module.html#gaa8924dffc6cee7aa1e908dc395a7a167">kroneckerProduct</a>(<span class="keyword">const</span> MatrixBase<A>& a, <span class="keyword">const</span> MatrixBase<B>& b)</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>  <span class="keywordflow">return</span> <a class="code" href="classEigen_1_1KroneckerProduct.html">KroneckerProduct<A, B></a>(a.derived(), b.derived());</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span> }</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span> </div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span> <span class="keyword">template</span><<span class="keyword">typename</span> A, <span class="keyword">typename</span> B></div>
<div class="line"><a name="l00237"></a><span class="lineno"><a class="line" href="group__KroneckerProduct__Module.html#gaca497f43cc92bcbf6eaff64984a266cc"> 237</a></span> <a class="code" href="classEigen_1_1KroneckerProductSparse.html">KroneckerProductSparse<A,B></a> <a class="code" href="group__KroneckerProduct__Module.html#gaa8924dffc6cee7aa1e908dc395a7a167">kroneckerProduct</a>(<span class="keyword">const</span> EigenBase<A>& a, <span class="keyword">const</span> EigenBase<B>& b)</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="keywordflow">return</span> <a class="code" href="classEigen_1_1KroneckerProductSparse.html">KroneckerProductSparse<A,B></a>(a.derived(), b.derived());</div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span> }</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">// end namespace Eigen</span></div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span> </div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span> <span class="preprocessor">#endif // KRONECKER_TENSOR_PRODUCT_H</span></div>
<div class="ttc" id="classEigen_1_1KroneckerProductSparse_html_a4bce1b0cbd668b88d690b6016a529b7c"><div class="ttname"><a href="classEigen_1_1KroneckerProductSparse.html#a4bce1b0cbd668b88d690b6016a529b7c">Eigen::KroneckerProductSparse::evalTo</a></div><div class="ttdeci">void evalTo(Dest &dst) const </div><div class="ttdoc">Evaluate the Kronecker tensor product. </div><div class="ttdef"><b>Definition:</b> KroneckerTensorProduct.h:125</div></div>
<div class="ttc" id="group__KroneckerProduct__Module_html_gaa8924dffc6cee7aa1e908dc395a7a167"><div class="ttname"><a href="group__KroneckerProduct__Module.html#gaa8924dffc6cee7aa1e908dc395a7a167">Eigen::kroneckerProduct</a></div><div class="ttdeci">KroneckerProduct< A, B > kroneckerProduct(const MatrixBase< A > &a, const MatrixBase< B > &b)</div><div class="ttdef"><b>Definition:</b> KroneckerTensorProduct.h:220</div></div>
<div class="ttc" id="classEigen_1_1KroneckerProduct_html_a4bce1b0cbd668b88d690b6016a529b7c"><div class="ttname"><a href="classEigen_1_1KroneckerProduct.html#a4bce1b0cbd668b88d690b6016a529b7c">Eigen::KroneckerProduct::evalTo</a></div><div class="ttdeci">void evalTo(Dest &dst) const </div><div class="ttdoc">Evaluate the Kronecker tensor product. </div><div class="ttdef"><b>Definition:</b> KroneckerTensorProduct.h:112</div></div>
<div class="ttc" id="classEigen_1_1KroneckerProductSparse_html_a5070a9f0e4ab4ab01ef01b1d88ed81d0"><div class="ttname"><a href="classEigen_1_1KroneckerProductSparse.html#a5070a9f0e4ab4ab01ef01b1d88ed81d0">Eigen::KroneckerProductSparse::KroneckerProductSparse</a></div><div class="ttdeci">KroneckerProductSparse(const Lhs &A, const Rhs &B)</div><div class="ttdoc">Constructor. </div><div class="ttdef"><b>Definition:</b> KroneckerTensorProduct.h:87</div></div>
<div class="ttc" id="classEigen_1_1KroneckerProduct_html"><div class="ttname"><a href="classEigen_1_1KroneckerProduct.html">Eigen::KroneckerProduct</a></div><div class="ttdoc">Kronecker tensor product helper class for dense matrices. </div><div class="ttdef"><b>Definition:</b> KroneckerTensorProduct.h:30</div></div>
<div class="ttc" id="classEigen_1_1KroneckerProductSparse_html"><div class="ttname"><a href="classEigen_1_1KroneckerProductSparse.html">Eigen::KroneckerProductSparse</a></div><div class="ttdoc">Kronecker tensor product helper class for sparse matrices. </div><div class="ttdef"><b>Definition:</b> KroneckerTensorProduct.h:80</div></div>
<div class="ttc" id="classEigen_1_1KroneckerProduct_html_a73212557fed8d9b3c415c0c57dd2a98e"><div class="ttname"><a href="classEigen_1_1KroneckerProduct.html#a73212557fed8d9b3c415c0c57dd2a98e">Eigen::KroneckerProduct::KroneckerProduct</a></div><div class="ttdeci">KroneckerProduct(const Lhs &A, const Rhs &B)</div><div class="ttdoc">Constructor. </div><div class="ttdef"><b>Definition:</b> KroneckerTensorProduct.h:39</div></div>
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