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<div class="title">SkylineProduct.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) 2008-2009 Guillaume Saupin <guillaume.saupin@cea.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_SKYLINEPRODUCT_H</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor"></span><span class="preprocessor">#define EIGEN_SKYLINEPRODUCT_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> ProductMode></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="keyword">struct </span>SkylineProductReturnType {</div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  <span class="keyword">typedef</span> <span class="keyword">const</span> <span class="keyword">typename</span> internal::nested<Lhs, Rhs::RowsAtCompileTime>::type LhsNested;</div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  <span class="keyword">typedef</span> <span class="keyword">const</span> <span class="keyword">typename</span> internal::nested<Rhs, Lhs::RowsAtCompileTime>::type RhsNested;</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">typedef</span> SkylineProduct<LhsNested, RhsNested, ProductMode> Type;</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> </div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="keyword">template</span><<span class="keyword">typename</span> LhsNested, <span class="keyword">typename</span> RhsNested, <span class="keywordtype">int</span> ProductMode></div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="keyword">struct </span>internal::traits<SkylineProduct<LhsNested, RhsNested, ProductMode> > {</div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="comment">// clean the nested types:</span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::remove_all<LhsNested>::type _LhsNested;</div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::remove_all<RhsNested>::type _RhsNested;</div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> _LhsNested::Scalar Scalar;</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">enum</span> {</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  LhsCoeffReadCost = _LhsNested::CoeffReadCost,</div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  RhsCoeffReadCost = _RhsNested::CoeffReadCost,</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  LhsFlags = _LhsNested::Flags,</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  RhsFlags = _RhsNested::Flags,</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>  RowsAtCompileTime = _LhsNested::RowsAtCompileTime,</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  ColsAtCompileTime = _RhsNested::ColsAtCompileTime,</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  InnerSize = EIGEN_SIZE_MIN_PREFER_FIXED(_LhsNested::ColsAtCompileTime, _RhsNested::RowsAtCompileTime),</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>  MaxRowsAtCompileTime = _LhsNested::MaxRowsAtCompileTime,</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  MaxColsAtCompileTime = _RhsNested::MaxColsAtCompileTime,</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  EvalToRowMajor = (RhsFlags & LhsFlags & RowMajorBit),</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  ResultIsSkyline = ProductMode == SkylineTimeSkylineProduct,</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>  RemovedBits = ~((EvalToRowMajor ? 0 : RowMajorBit) | (ResultIsSkyline ? 0 : SkylineBit)),</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span> </div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  Flags = (int(LhsFlags | RhsFlags) & HereditaryBits & RemovedBits)</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  | EvalBeforeAssigningBit</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  | EvalBeforeNestingBit,</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>  CoeffReadCost = Dynamic</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>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::conditional<ResultIsSkyline,</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  SkylineMatrixBase<SkylineProduct<LhsNested, RhsNested, ProductMode> >,</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  MatrixBase<SkylineProduct<LhsNested, RhsNested, ProductMode> > >::type Base;</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span> };</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="keyword">template</span><<span class="keyword">typename</span> LhsNested, <span class="keyword">typename</span> RhsNested, <span class="keywordtype">int</span> ProductMode></div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="keyword">class </span>SkylineProduct : no_assignment_operator,</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="keyword">public</span> traits<SkylineProduct<LhsNested, RhsNested, ProductMode> >::Base {</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="keyword">public</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>  EIGEN_GENERIC_PUBLIC_INTERFACE(SkylineProduct)</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> private:</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>  typedef typename traits<SkylineProduct>::_LhsNested _LhsNested;</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  typedef typename traits<SkylineProduct>::_RhsNested _RhsNested;</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span> public:</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span> </div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  template<typename Lhs, typename Rhs></div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  EIGEN_STRONG_INLINE SkylineProduct(const Lhs& lhs, const Rhs& rhs)</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  : m_lhs(lhs), m_rhs(rhs) {</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  eigen_assert(lhs.cols() == rhs.rows());</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span> </div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  ProductIsValid = _LhsNested::ColsAtCompileTime == Dynamic</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  || _RhsNested::RowsAtCompileTime == Dynamic</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  || int(_LhsNested::ColsAtCompileTime) == int(_RhsNested::RowsAtCompileTime),</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  AreVectors = _LhsNested::IsVectorAtCompileTime && _RhsNested::IsVectorAtCompileTime,</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  SameSizes = EIGEN_PREDICATE_SAME_MATRIX_SIZE(_LhsNested, _RhsNested)</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  };</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="comment">// note to the lost user:</span></div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="comment">// * for a dot product use: v1.dot(v2)</span></div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="comment">// * for a coeff-wise product use: v1.cwise()*v2</span></div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  EIGEN_STATIC_ASSERT(ProductIsValid || !(AreVectors && SameSizes),</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  INVALID_VECTOR_VECTOR_PRODUCT__IF_YOU_WANTED_A_DOT_OR_COEFF_WISE_PRODUCT_YOU_MUST_USE_THE_EXPLICIT_FUNCTIONS)</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  EIGEN_STATIC_ASSERT(ProductIsValid || !(SameSizes && !AreVectors),</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  INVALID_MATRIX_PRODUCT__IF_YOU_WANTED_A_COEFF_WISE_PRODUCT_YOU_MUST_USE_THE_EXPLICIT_FUNCTION)</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  EIGEN_STATIC_ASSERT(ProductIsValid || SameSizes, INVALID_MATRIX_PRODUCT)</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> </div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  EIGEN_STRONG_INLINE Index rows()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordflow">return</span> m_lhs.rows();</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  }</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  EIGEN_STRONG_INLINE Index cols()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordflow">return</span> m_rhs.cols();</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>  EIGEN_STRONG_INLINE <span class="keyword">const</span> _LhsNested& lhs()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordflow">return</span> m_lhs;</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> </div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> _RhsNested& rhs()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">return</span> m_rhs;</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  }</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">protected</span>:</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  LhsNested m_lhs;</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  RhsNested m_rhs;</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span> };</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span> </div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="comment">// dense = skyline * dense</span></div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="comment">// Note that here we force no inlining and separate the setZero() because GCC messes up otherwise</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">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Dest></div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span> EIGEN_DONT_INLINE <span class="keywordtype">void</span> skyline_row_major_time_dense_product(<span class="keyword">const</span> Lhs& lhs, <span class="keyword">const</span> Rhs& rhs, Dest& dst) {</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> remove_all<Lhs>::type _Lhs;</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> remove_all<Rhs>::type _Rhs;</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> traits<Lhs>::Scalar Scalar;</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">enum</span> {</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  LhsIsRowMajor = (_Lhs::Flags & RowMajorBit) == RowMajorBit,</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  LhsIsSelfAdjoint = (_Lhs::Flags & SelfAdjointBit) == SelfAdjointBit,</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  ProcessFirstHalf = LhsIsSelfAdjoint</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  && (((_Lhs::Flags & (UpperTriangularBit | LowerTriangularBit)) == 0)</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  || ((_Lhs::Flags & UpperTriangularBit) && !LhsIsRowMajor)</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  || ((_Lhs::Flags & LowerTriangularBit) && LhsIsRowMajor)),</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  ProcessSecondHalf = LhsIsSelfAdjoint && (!ProcessFirstHalf)</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</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">//Use matrix diagonal part <- Improvement : use inner iterator on dense matrix.</span></div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordflow">for</span> (Index col = 0; col < rhs.cols(); col++) {</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">for</span> (Index row = 0; row < lhs.rows(); row++) {</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  dst(row, col) = lhs.coeffDiag(row) * rhs(row, col);</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  }</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  }</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="comment">//Use matrix lower triangular part</span></div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keywordflow">for</span> (Index row = 0; row < lhs.rows(); row++) {</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keyword">typename</span> _Lhs::InnerLowerIterator lIt(lhs, row);</div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keyword">const</span> Index stop = lIt.col() + lIt.size();</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keywordflow">for</span> (Index col = 0; col < rhs.cols(); col++) {</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>  Index k = lIt.col();</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  Scalar tmp = 0;</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keywordflow">while</span> (k < stop) {</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  tmp +=</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  lIt.value() *</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  rhs(k++, col);</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  ++lIt;</div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  }</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  dst(row, col) += tmp;</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  lIt += -lIt.size();</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  }</div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span> </div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  }</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span> </div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="comment">//Use matrix upper triangular part</span></div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keywordflow">for</span> (Index lhscol = 0; lhscol < lhs.cols(); lhscol++) {</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keyword">typename</span> _Lhs::InnerUpperIterator uIt(lhs, lhscol);</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keyword">const</span> Index stop = uIt.size() + uIt.row();</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keywordflow">for</span> (Index rhscol = 0; rhscol < rhs.cols(); rhscol++) {</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">const</span> Scalar rhsCoeff = rhs.coeff(lhscol, rhscol);</div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  Index k = uIt.row();</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordflow">while</span> (k < stop) {</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  dst(k++, rhscol) +=</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  uIt.value() *</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  rhsCoeff;</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  ++uIt;</div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  }</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  uIt += -uIt.size();</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>  }</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> }</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">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Dest></div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span> EIGEN_DONT_INLINE <span class="keywordtype">void</span> skyline_col_major_time_dense_product(<span class="keyword">const</span> Lhs& lhs, <span class="keyword">const</span> Rhs& rhs, Dest& dst) {</div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> remove_all<Lhs>::type _Lhs;</div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> remove_all<Rhs>::type _Rhs;</div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> traits<Lhs>::Scalar Scalar;</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>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  LhsIsRowMajor = (_Lhs::Flags & RowMajorBit) == RowMajorBit,</div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  LhsIsSelfAdjoint = (_Lhs::Flags & SelfAdjointBit) == SelfAdjointBit,</div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  ProcessFirstHalf = LhsIsSelfAdjoint</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  && (((_Lhs::Flags & (UpperTriangularBit | LowerTriangularBit)) == 0)</div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  || ((_Lhs::Flags & UpperTriangularBit) && !LhsIsRowMajor)</div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  || ((_Lhs::Flags & LowerTriangularBit) && LhsIsRowMajor)),</div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  ProcessSecondHalf = LhsIsSelfAdjoint && (!ProcessFirstHalf)</div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  };</div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span> </div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="comment">//Use matrix diagonal part <- Improvement : use inner iterator on dense matrix.</span></div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keywordflow">for</span> (Index col = 0; col < rhs.cols(); col++) {</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keywordflow">for</span> (Index row = 0; row < lhs.rows(); row++) {</div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  dst(row, col) = lhs.coeffDiag(row) * rhs(row, col);</div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  }</div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  }</div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span> </div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="comment">//Use matrix upper triangular part</span></div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="keywordflow">for</span> (Index row = 0; row < lhs.rows(); row++) {</div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keyword">typename</span> _Lhs::InnerUpperIterator uIt(lhs, row);</div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keyword">const</span> Index stop = uIt.col() + uIt.size();</div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keywordflow">for</span> (Index col = 0; col < rhs.cols(); col++) {</div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span> </div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  Index k = uIt.col();</div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  Scalar tmp = 0;</div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keywordflow">while</span> (k < stop) {</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  tmp +=</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  uIt.value() *</div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  rhs(k++, col);</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  ++uIt;</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> </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>  dst(row, col) += tmp;</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  uIt += -uIt.size();</div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  }</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>  <span class="comment">//Use matrix lower triangular part</span></div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keywordflow">for</span> (Index lhscol = 0; lhscol < lhs.cols(); lhscol++) {</div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keyword">typename</span> _Lhs::InnerLowerIterator lIt(lhs, lhscol);</div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="keyword">const</span> Index stop = lIt.size() + lIt.row();</div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keywordflow">for</span> (Index rhscol = 0; rhscol < rhs.cols(); rhscol++) {</div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span> </div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keyword">const</span> Scalar rhsCoeff = rhs.coeff(lhscol, rhscol);</div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  Index k = lIt.row();</div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keywordflow">while</span> (k < stop) {</div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  dst(k++, rhscol) +=</div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  lIt.value() *</div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  rhsCoeff;</div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  ++lIt;</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>  lIt += -lIt.size();</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>  }</div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span> </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> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> ResultType,</div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keywordtype">int</span> LhsStorageOrder = traits<Lhs>::Flags&RowMajorBit></div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keyword">struct </span>skyline_product_selector;</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> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> ResultType></div>
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span> <span class="keyword">struct </span>skyline_product_selector<Lhs, Rhs, ResultType, RowMajor> {</div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> traits<typename remove_all<Lhs>::type>::Scalar Scalar;</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>  <span class="keyword">static</span> <span class="keywordtype">void</span> run(<span class="keyword">const</span> Lhs& lhs, <span class="keyword">const</span> Rhs& rhs, ResultType & res) {</div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  skyline_row_major_time_dense_product<Lhs, Rhs, ResultType > (lhs, rhs, res);</div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  }</div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span> };</div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span> </div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> ResultType></div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span> <span class="keyword">struct </span>skyline_product_selector<Lhs, Rhs, ResultType, ColMajor> {</div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> traits<typename remove_all<Lhs>::type>::Scalar Scalar;</div>
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span> </div>
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> run(<span class="keyword">const</span> Lhs& lhs, <span class="keyword">const</span> Rhs& rhs, ResultType & res) {</div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  skyline_col_major_time_dense_product<Lhs, Rhs, ResultType > (lhs, rhs, res);</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> };</div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span> </div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span> } <span class="comment">// end namespace internal</span></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="comment">// template<typename Derived></span></div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span> <span class="comment">// template<typename Lhs, typename Rhs ></span></div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span> <span class="comment">// Derived & MatrixBase<Derived>::lazyAssign(const SkylineProduct<Lhs, Rhs, SkylineTimeDenseProduct>& product) {</span></div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span> <span class="comment">// typedef typename internal::remove_all<Lhs>::type _Lhs;</span></div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span> <span class="comment">// internal::skyline_product_selector<typename internal::remove_all<Lhs>::type,</span></div>
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span> <span class="comment">// typename internal::remove_all<Rhs>::type,</span></div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span> <span class="comment">// Derived>::run(product.lhs(), product.rhs(), derived());</span></div>
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span> <span class="comment">// </span></div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span> <span class="comment">// return derived();</span></div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span> <span class="comment">// }</span></div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span> </div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span> <span class="comment">// skyline * dense</span></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> <span class="keyword">template</span><<span class="keyword">typename</span> Derived></div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span> <span class="keyword">template</span><<span class="keyword">typename</span> OtherDerived ></div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span> EIGEN_STRONG_INLINE <span class="keyword">const</span> <span class="keyword">typename</span> SkylineProductReturnType<Derived, OtherDerived>::Type</div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span> SkylineMatrixBase<Derived>::operator*(<span class="keyword">const</span> MatrixBase<OtherDerived> &other)<span class="keyword"> const </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="keywordflow">return</span> <span class="keyword">typename</span> SkylineProductReturnType<Derived, OtherDerived>::Type(derived(), other.derived());</div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span> }</div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span> </div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span> } <span class="comment">// end namespace Eigen</span></div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span> </div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span> <span class="preprocessor">#endif // EIGEN_SKYLINEPRODUCT_H</span></div>
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