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<div class="title">SparseDenseProduct.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_SPARSEDENSEPRODUCT_H</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor"></span><span class="preprocessor">#define EIGEN_SPARSEDENSEPRODUCT_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">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> InnerSize> <span class="keyword">struct </span>SparseDenseProductReturnType</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">typedef</span> SparseTimeDenseProduct<Lhs,Rhs> Type;</div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> };</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">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs> <span class="keyword">struct </span>SparseDenseProductReturnType<Lhs,Rhs,1></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>  <span class="keyword">typedef</span> SparseDenseOuterProduct<Lhs,Rhs,false> Type;</div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span> };</div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> </div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> InnerSize> <span class="keyword">struct </span>DenseSparseProductReturnType</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">typedef</span> DenseTimeSparseProduct<Lhs,Rhs> Type;</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">typename</span> Lhs, <span class="keyword">typename</span> Rhs> <span class="keyword">struct </span>DenseSparseProductReturnType<Lhs,Rhs,1></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">typedef</span> SparseDenseOuterProduct<Rhs,Lhs,true> Type;</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> };</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">bool</span> Tr></div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="keyword">struct </span>traits<SparseDenseOuterProduct<Lhs,Rhs,Tr> ></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>  <span class="keyword">typedef</span> Sparse StorageKind;</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> scalar_product_traits<typename traits<Lhs>::Scalar,</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keyword">typename</span> traits<Rhs>::Scalar>::ReturnType Scalar;</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Lhs::Index Index;</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Lhs::Nested LhsNested;</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Rhs::Nested RhsNested;</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> remove_all<LhsNested>::type _LhsNested;</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> remove_all<RhsNested>::type _RhsNested;</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>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  LhsCoeffReadCost = traits<_LhsNested>::CoeffReadCost,</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  RhsCoeffReadCost = traits<_RhsNested>::CoeffReadCost,</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>  RowsAtCompileTime = Tr ? int(traits<Rhs>::RowsAtCompileTime) : int(traits<Lhs>::RowsAtCompileTime),</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  ColsAtCompileTime = Tr ? int(traits<Lhs>::ColsAtCompileTime) : int(traits<Rhs>::ColsAtCompileTime),</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  MaxRowsAtCompileTime = Tr ? int(traits<Rhs>::MaxRowsAtCompileTime) : int(traits<Lhs>::MaxRowsAtCompileTime),</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  MaxColsAtCompileTime = Tr ? int(traits<Lhs>::MaxColsAtCompileTime) : int(traits<Rhs>::MaxColsAtCompileTime),</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>  Flags = Tr ? <a class="code" href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">RowMajorBit</a> : 0,</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>  CoeffReadCost = LhsCoeffReadCost + RhsCoeffReadCost + NumTraits<Scalar>::MulCost</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  };</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span> };</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span> } <span class="comment">// end namespace internal</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="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">bool</span> Tr></div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="keyword">class </span>SparseDenseOuterProduct</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  : <span class="keyword">public</span> SparseMatrixBase<SparseDenseOuterProduct<Lhs,Rhs,Tr> ></div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span> {</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keyword">public</span>:</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>  <span class="keyword">typedef</span> SparseMatrixBase<SparseDenseOuterProduct> Base;</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  EIGEN_DENSE_PUBLIC_INTERFACE(SparseDenseOuterProduct)</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  typedef internal::traits<SparseDenseOuterProduct> Traits;</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>  private:</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  typedef typename Traits::LhsNested LhsNested;</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  typedef typename Traits::RhsNested RhsNested;</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  typedef typename Traits::_LhsNested _LhsNested;</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  typedef typename Traits::_RhsNested _RhsNested;</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>  public:</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>  class InnerIterator;</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>  EIGEN_STRONG_INLINE SparseDenseOuterProduct(const Lhs& lhs, const Rhs& rhs)</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  : m_lhs(lhs), m_rhs(rhs)</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>  EIGEN_STATIC_ASSERT(!Tr,YOU_MADE_A_PROGRAMMING_MISTAKE);</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> </div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  EIGEN_STRONG_INLINE SparseDenseOuterProduct(<span class="keyword">const</span> Rhs& rhs, <span class="keyword">const</span> Lhs& lhs)</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  : m_lhs(lhs), m_rhs(rhs)</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  {</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  EIGEN_STATIC_ASSERT(Tr,YOU_MADE_A_PROGRAMMING_MISTAKE);</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  }</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>  EIGEN_STRONG_INLINE Index rows()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> Tr ? m_rhs.rows() : m_lhs.rows(); }</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  EIGEN_STRONG_INLINE Index cols()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> Tr ? m_lhs.cols() : m_rhs.cols(); }</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span> </div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> _LhsNested& lhs()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_lhs; }</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> _RhsNested& rhs()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_rhs; }</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">protected</span>:</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  LhsNested m_lhs;</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  RhsNested m_rhs;</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span> };</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </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, <span class="keywordtype">bool</span> Transpose></div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="keyword">class </span>SparseDenseOuterProduct<Lhs,Rhs,Transpose>::InnerIterator : <span class="keyword">public</span> _LhsNested::InnerIterator</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span> {</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> _LhsNested::InnerIterator Base;</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> SparseDenseOuterProduct::Index Index;</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  EIGEN_STRONG_INLINE InnerIterator(<span class="keyword">const</span> SparseDenseOuterProduct& prod, Index outer)</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  : Base(prod.lhs(), 0), m_outer(outer), m_factor(prod.rhs().coeff(outer))</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>  }</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keyword">inline</span> Index outer()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_outer; }</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keyword">inline</span> Index row()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> Transpose ? Base::row() : m_outer; }</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keyword">inline</span> Index col()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> Transpose ? m_outer : Base::row(); }</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keyword">inline</span> Scalar value()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> Base::value() * m_factor; }</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span> </div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordtype">int</span> m_outer;</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  Scalar m_factor;</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> <span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs></div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <span class="keyword">struct </span>traits<SparseTimeDenseProduct<Lhs,Rhs> ></div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  : traits<ProductBase<SparseTimeDenseProduct<Lhs,Rhs>, Lhs, Rhs> ></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="keyword">typedef</span> Dense StorageKind;</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keyword">typedef</span> MatrixXpr XprKind;</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> </div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span> <span class="keyword">template</span><<span class="keyword">typename</span> SparseLhsType, <span class="keyword">typename</span> DenseRhsType, <span class="keyword">typename</span> DenseResType,</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keywordtype">int</span> LhsStorageOrder = ((SparseLhsType::Flags&<a class="code" href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">RowMajorBit</a>)==<a class="code" href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">RowMajorBit</a>) ? <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a> : <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>,</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordtype">bool</span> ColPerCol = ((DenseRhsType::Flags&<a class="code" href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">RowMajorBit</a>)==0) || DenseRhsType::ColsAtCompileTime==1></div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span> <span class="keyword">struct </span>sparse_time_dense_product_impl;</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> <span class="keyword">template</span><<span class="keyword">typename</span> SparseLhsType, <span class="keyword">typename</span> DenseRhsType, <span class="keyword">typename</span> DenseResType></div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span> <span class="keyword">struct </span>sparse_time_dense_product_impl<SparseLhsType,DenseRhsType,DenseResType, <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>, true></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>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::remove_all<SparseLhsType>::type Lhs;</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::remove_all<DenseRhsType>::type Rhs;</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::remove_all<DenseResType>::type Res;</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Lhs::Index Index;</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Lhs::InnerIterator LhsInnerIterator;</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> run(<span class="keyword">const</span> SparseLhsType& lhs, <span class="keyword">const</span> DenseRhsType& rhs, DenseResType& res, <span class="keyword">const</span> <span class="keyword">typename</span> Res::Scalar& alpha)</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>  <span class="keywordflow">for</span>(Index c=0; c<rhs.cols(); ++c)</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  {</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordtype">int</span> n = lhs.outerSize();</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keywordflow">for</span>(Index j=0; j<n; ++j)</div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  {</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keyword">typename</span> Res::Scalar tmp(0);</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keywordflow">for</span>(LhsInnerIterator it(lhs,j); it ;++it)</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  tmp += it.value() * rhs.coeff(it.index(),c);</div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  res.coeffRef(j,c) = alpha * tmp;</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>  }</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> SparseLhsType, <span class="keyword">typename</span> DenseRhsType, <span class="keyword">typename</span> DenseResType></div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span> <span class="keyword">struct </span>sparse_time_dense_product_impl<SparseLhsType,DenseRhsType,DenseResType, <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>, true></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> <span class="keyword">typename</span> internal::remove_all<SparseLhsType>::type Lhs;</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::remove_all<DenseRhsType>::type Rhs;</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::remove_all<DenseResType>::type Res;</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Lhs::InnerIterator LhsInnerIterator;</div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Lhs::Index Index;</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> run(<span class="keyword">const</span> SparseLhsType& lhs, <span class="keyword">const</span> DenseRhsType& rhs, DenseResType& res, <span class="keyword">const</span> <span class="keyword">typename</span> Res::Scalar& alpha)</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="keywordflow">for</span>(Index c=0; c<rhs.cols(); ++c)</div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  {</div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keywordflow">for</span>(Index j=0; j<lhs.outerSize(); ++j)</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>  <span class="keyword">typename</span> Res::Scalar rhs_j = alpha * rhs.coeff(j,c);</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keywordflow">for</span>(LhsInnerIterator it(lhs,j); it ;++it)</div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  res.coeffRef(it.index(),c) += it.value() * rhs_j;</div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  }</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>  }</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span> };</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> <span class="keyword">template</span><<span class="keyword">typename</span> SparseLhsType, <span class="keyword">typename</span> DenseRhsType, <span class="keyword">typename</span> DenseResType></div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span> <span class="keyword">struct </span>sparse_time_dense_product_impl<SparseLhsType,DenseRhsType,DenseResType, <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>, false></div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span> {</div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::remove_all<SparseLhsType>::type Lhs;</div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::remove_all<DenseRhsType>::type Rhs;</div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::remove_all<DenseResType>::type Res;</div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Lhs::InnerIterator LhsInnerIterator;</div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Lhs::Index Index;</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> run(<span class="keyword">const</span> SparseLhsType& lhs, <span class="keyword">const</span> DenseRhsType& rhs, DenseResType& res, <span class="keyword">const</span> <span class="keyword">typename</span> Res::Scalar& alpha)</div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  {</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keywordflow">for</span>(Index j=0; j<lhs.outerSize(); ++j)</div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  {</div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="keyword">typename</span> Res::RowXpr res_j(res.row(j));</div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keywordflow">for</span>(LhsInnerIterator it(lhs,j); it ;++it)</div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  res_j += (alpha*it.value()) * rhs.row(it.index());</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  }</div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  }</div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span> };</div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span> </div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span> <span class="keyword">template</span><<span class="keyword">typename</span> SparseLhsType, <span class="keyword">typename</span> DenseRhsType, <span class="keyword">typename</span> DenseResType></div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span> <span class="keyword">struct </span>sparse_time_dense_product_impl<SparseLhsType,DenseRhsType,DenseResType, <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>, false></div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span> {</div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::remove_all<SparseLhsType>::type Lhs;</div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::remove_all<DenseRhsType>::type Rhs;</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::remove_all<DenseResType>::type Res;</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Lhs::InnerIterator LhsInnerIterator;</div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Lhs::Index Index;</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> run(<span class="keyword">const</span> SparseLhsType& lhs, <span class="keyword">const</span> DenseRhsType& rhs, DenseResType& res, <span class="keyword">const</span> <span class="keyword">typename</span> Res::Scalar& alpha)</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  {</div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keywordflow">for</span>(Index j=0; j<lhs.outerSize(); ++j)</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  {</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keyword">typename</span> Rhs::ConstRowXpr rhs_j(rhs.row(j));</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keywordflow">for</span>(LhsInnerIterator it(lhs,j); it ;++it)</div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  res.row(it.index()) += (alpha*it.value()) * rhs_j;</div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  }</div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  }</div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span> };</div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span> </div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span> <span class="keyword">template</span><<span class="keyword">typename</span> SparseLhsType, <span class="keyword">typename</span> DenseRhsType, <span class="keyword">typename</span> DenseResType,<span class="keyword">typename</span> AlphaType></div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> sparse_time_dense_product(<span class="keyword">const</span> SparseLhsType& lhs, <span class="keyword">const</span> DenseRhsType& rhs, DenseResType& res, <span class="keyword">const</span> AlphaType& alpha)</div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span> {</div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  sparse_time_dense_product_impl<SparseLhsType,DenseRhsType,DenseResType>::run(lhs, rhs, res, alpha);</div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span> }</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> } <span class="comment">// end namespace internal</span></div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span> </div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs></div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span> <span class="keyword">class </span>SparseTimeDenseProduct</div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  : <span class="keyword">public</span> ProductBase<SparseTimeDenseProduct<Lhs,Rhs>, Lhs, Rhs></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="keyword">public</span>:</div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  EIGEN_PRODUCT_PUBLIC_INTERFACE(SparseTimeDenseProduct)</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>  SparseTimeDenseProduct(const Lhs& lhs, const Rhs& rhs) : Base(lhs,rhs)</div>
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  {}</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="keyword">template</span><<span class="keyword">typename</span> Dest> <span class="keywordtype">void</span> scaleAndAddTo(Dest& dest, <span class="keyword">const</span> Scalar& alpha)<span class="keyword"> const</span></div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  internal::sparse_time_dense_product(m_lhs, m_rhs, dest, alpha);</div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  }</div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span> </div>
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keyword">private</span>:</div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  SparseTimeDenseProduct& operator=(<span class="keyword">const</span> SparseTimeDenseProduct&);</div>
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span> };</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="comment">// dense = dense * sparse</span></div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span> <span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs></div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span> <span class="keyword">struct </span>traits<DenseTimeSparseProduct<Lhs,Rhs> ></div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  : traits<ProductBase<DenseTimeSparseProduct<Lhs,Rhs>, Lhs, Rhs> ></div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span> {</div>
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keyword">typedef</span> Dense StorageKind;</div>
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span> };</div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span> } <span class="comment">// end namespace internal</span></div>
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span> </div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs></div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span> <span class="keyword">class </span>DenseTimeSparseProduct</div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  : <span class="keyword">public</span> ProductBase<DenseTimeSparseProduct<Lhs,Rhs>, Lhs, Rhs></div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span> {</div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  EIGEN_PRODUCT_PUBLIC_INTERFACE(DenseTimeSparseProduct)</div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span> </div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  DenseTimeSparseProduct(const Lhs& lhs, const Rhs& rhs) : Base(lhs,rhs)</div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  {}</div>
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span> </div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Dest> <span class="keywordtype">void</span> scaleAndAddTo(Dest& dest, <span class="keyword">const</span> Scalar& alpha)<span class="keyword"> const</span></div>
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  Transpose<const _LhsNested> lhs_t(m_lhs);</div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  Transpose<const _RhsNested> rhs_t(m_rhs);</div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  Transpose<Dest> dest_t(dest);</div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  internal::sparse_time_dense_product(rhs_t, lhs_t, dest_t, alpha);</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> </div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <span class="keyword">private</span>:</div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  DenseTimeSparseProduct& operator=(<span class="keyword">const</span> DenseTimeSparseProduct&);</div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span> };</div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span> </div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span> <span class="comment">// sparse * dense</span></div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span> <span class="keyword">template</span><<span class="keyword">typename</span> Derived></div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span> <span class="keyword">template</span><<span class="keyword">typename</span> OtherDerived></div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span> <span class="keyword">inline</span> <span class="keyword">const</span> <span class="keyword">typename</span> SparseDenseProductReturnType<Derived,OtherDerived>::Type</div>
<div class="line"><a name="l00294"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrixBase.html#af64e012789113d938655fbb7c5f4538e"> 294</a></span> <a class="code" href="classEigen_1_1SparseMatrixBase.html#ae8ab11fb1ef0822aa61527f7ecd77b9d">SparseMatrixBase<Derived>::operator*</a>(<span class="keyword">const</span> <a class="code" href="classEigen_1_1MatrixBase.html">MatrixBase<OtherDerived></a> &other)<span class="keyword"> const</span></div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <span class="keywordflow">return</span> <span class="keyword">typename</span> SparseDenseProductReturnType<Derived,OtherDerived>::Type(derived(), other.derived());</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> </div>
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span> } <span class="comment">// end namespace Eigen</span></div>
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span> </div>
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span> <span class="preprocessor">#endif // EIGEN_SPARSEDENSEPRODUCT_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="classEigen_1_1SparseMatrixBase_html_ae8ab11fb1ef0822aa61527f7ecd77b9d"><div class="ttname"><a href="classEigen_1_1SparseMatrixBase.html#ae8ab11fb1ef0822aa61527f7ecd77b9d">Eigen::SparseMatrixBase::operator*</a></div><div class="ttdeci">const ScalarMultipleReturnType operator*(const Scalar &scalar) const </div><div class="ttdef"><b>Definition:</b> SparseMatrixBase.h:50</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_1MatrixBase_html"><div class="ttname"><a href="classEigen_1_1MatrixBase.html">Eigen::MatrixBase</a></div><div class="ttdoc">Base class for all dense matrices, vectors, and expressions. </div><div class="ttdef"><b>Definition:</b> MatrixBase.h:48</div></div>
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