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<div class="title">GeneralProduct.h</div> </div>
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<div class="contents">
<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) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com></span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment">// Copyright (C) 2008-2011 Gael Guennebaud <gael.guennebaud@inria.fr></span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment">//</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment">// This Source Code Form is subject to the terms of the Mozilla</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</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="l00009"></a><span class="lineno"> 9</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="l00010"></a><span class="lineno"> 10</span> </div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#ifndef EIGEN_GENERAL_PRODUCT_H</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor"></span><span class="preprocessor">#define EIGEN_GENERAL_PRODUCT_H</span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor"></span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="keyword">namespace </span>Eigen { </div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> </div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> template<typename Lhs, typename Rhs, int ProductType = internal::product_type<Lhs,Rhs>::value></div>
<div class="line"><a name="l00036"></a><span class="lineno"><a class="line" href="classEigen_1_1GeneralProduct.html"> 36</a></span> <span class="keyword">class </span><a class="code" href="classEigen_1_1GeneralProduct.html">GeneralProduct</a>;</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> </div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  Large = 2,</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  Small = 3</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="l00043"></a><span class="lineno"> 43</span> <span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="keyword">template</span><<span class="keywordtype">int</span> Rows, <span class="keywordtype">int</span> Cols, <span class="keywordtype">int</span> Depth> <span class="keyword">struct </span>product_type_selector;</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="keyword">template</span><<span class="keywordtype">int</span> Size, <span class="keywordtype">int</span> MaxSize> <span class="keyword">struct </span>product_size_category</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> { is_large = MaxSize == <a class="code" href="namespaceEigen.html#adc9da5be31bdce40c25a92c27999c0e3">Dynamic</a> ||</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  Size >= EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD,</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  value = is_large ? Large</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  : Size == 1 ? 1</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  : Small</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> };</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs> <span class="keyword">struct </span>product_type</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span> {</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> remove_all<Lhs>::type _Lhs;</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> remove_all<Rhs>::type _Rhs;</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  MaxRows = _Lhs::MaxRowsAtCompileTime,</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  Rows = _Lhs::RowsAtCompileTime,</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  MaxCols = _Rhs::MaxColsAtCompileTime,</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  Cols = _Rhs::ColsAtCompileTime,</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  MaxDepth = EIGEN_SIZE_MIN_PREFER_FIXED(_Lhs::MaxColsAtCompileTime,</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  _Rhs::MaxRowsAtCompileTime),</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  Depth = EIGEN_SIZE_MIN_PREFER_FIXED(_Lhs::ColsAtCompileTime,</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  _Rhs::RowsAtCompileTime),</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  LargeThreshold = EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  };</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="comment">// the splitting into different lines of code here, introducing the _select enums and the typedef below,</span></div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="comment">// is to work around an internal compiler error with gcc 4.1 and 4.2.</span></div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="keyword">private</span>:</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  rows_select = product_size_category<Rows,MaxRows>::value,</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  cols_select = product_size_category<Cols,MaxCols>::value,</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  depth_select = product_size_category<Depth,MaxDepth>::value</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  };</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keyword">typedef</span> product_type_selector<rows_select, cols_select, depth_select> selector;</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="keyword">public</span>:</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  value = selector::ret</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="preprocessor">#ifdef EIGEN_DEBUG_PRODUCT</span></div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="preprocessor"></span> <span class="keyword">static</span> <span class="keywordtype">void</span> debug()</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_DEBUG_VAR(Rows);</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  EIGEN_DEBUG_VAR(Cols);</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  EIGEN_DEBUG_VAR(Depth);</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  EIGEN_DEBUG_VAR(rows_select);</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  EIGEN_DEBUG_VAR(cols_select);</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  EIGEN_DEBUG_VAR(depth_select);</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  EIGEN_DEBUG_VAR(value);</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> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="preprocessor"></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> </div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="comment">/* The following allows to select the kind of product at compile time</span></div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="comment"> * based on the three dimensions of the product.</span></div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="comment"> * This is a compile time mapping from {1,Small,Large}^3 -> {product types} */</span></div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="comment">// FIXME I'm not sure the current mapping is the ideal one.</span></div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="keyword">template</span><<span class="keywordtype">int</span> M, <span class="keywordtype">int</span> N> <span class="keyword">struct </span>product_type_selector<M,N,1> { <span class="keyword">enum</span> { ret = OuterProduct }; };</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="keyword">template</span><<span class="keywordtype">int</span> Depth> <span class="keyword">struct </span>product_type_selector<1, 1, Depth> { <span class="keyword">enum</span> { ret = InnerProduct }; };</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="keyword">template</span><> <span class="keyword">struct </span>product_type_selector<1, 1, 1> { <span class="keyword">enum</span> { ret = InnerProduct }; };</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="keyword">template</span><> <span class="keyword">struct </span>product_type_selector<Small,1, Small> { <span class="keyword">enum</span> { ret = CoeffBasedProductMode }; };</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="keyword">template</span><> <span class="keyword">struct </span>product_type_selector<1, Small,Small> { <span class="keyword">enum</span> { ret = CoeffBasedProductMode }; };</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="keyword">template</span><> <span class="keyword">struct </span>product_type_selector<Small,Small,Small> { <span class="keyword">enum</span> { ret = CoeffBasedProductMode }; };</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span> <span class="keyword">template</span><> <span class="keyword">struct </span>product_type_selector<Small, Small, 1> { <span class="keyword">enum</span> { ret = LazyCoeffBasedProductMode }; };</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="keyword">template</span><> <span class="keyword">struct </span>product_type_selector<Small, Large, 1> { <span class="keyword">enum</span> { ret = LazyCoeffBasedProductMode }; };</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span> <span class="keyword">template</span><> <span class="keyword">struct </span>product_type_selector<Large, Small, 1> { <span class="keyword">enum</span> { ret = LazyCoeffBasedProductMode }; };</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="keyword">template</span><> <span class="keyword">struct </span>product_type_selector<1, Large,Small> { <span class="keyword">enum</span> { ret = CoeffBasedProductMode }; };</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <span class="keyword">template</span><> <span class="keyword">struct </span>product_type_selector<1, Large,Large> { <span class="keyword">enum</span> { ret = GemvProduct }; };</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="keyword">template</span><> <span class="keyword">struct </span>product_type_selector<1, Small,Large> { <span class="keyword">enum</span> { ret = CoeffBasedProductMode }; };</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="keyword">template</span><> <span class="keyword">struct </span>product_type_selector<Large,1, Small> { <span class="keyword">enum</span> { ret = CoeffBasedProductMode }; };</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="keyword">template</span><> <span class="keyword">struct </span>product_type_selector<Large,1, Large> { <span class="keyword">enum</span> { ret = GemvProduct }; };</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span> <span class="keyword">template</span><> <span class="keyword">struct </span>product_type_selector<Small,1, Large> { <span class="keyword">enum</span> { ret = CoeffBasedProductMode }; };</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span> <span class="keyword">template</span><> <span class="keyword">struct </span>product_type_selector<Small,Small,Large> { <span class="keyword">enum</span> { ret = GemmProduct }; };</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span> <span class="keyword">template</span><> <span class="keyword">struct </span>product_type_selector<Large,Small,Large> { <span class="keyword">enum</span> { ret = GemmProduct }; };</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span> <span class="keyword">template</span><> <span class="keyword">struct </span>product_type_selector<Small,Large,Large> { <span class="keyword">enum</span> { ret = GemmProduct }; };</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span> <span class="keyword">template</span><> <span class="keyword">struct </span>product_type_selector<Large,Large,Large> { <span class="keyword">enum</span> { ret = GemmProduct }; };</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span> <span class="keyword">template</span><> <span class="keyword">struct </span>product_type_selector<Large,Small,Small> { <span class="keyword">enum</span> { ret = GemmProduct }; };</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span> <span class="keyword">template</span><> <span class="keyword">struct </span>product_type_selector<Small,Large,Small> { <span class="keyword">enum</span> { ret = GemmProduct }; };</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span> <span class="keyword">template</span><> <span class="keyword">struct </span>product_type_selector<Large,Large,Small> { <span class="keyword">enum</span> { ret = GemmProduct }; };</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span> </div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span> } <span class="comment">// end namespace internal</span></div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span> </div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> ProductType></div>
<div class="line"><a name="l00149"></a><span class="lineno"><a class="line" href="structEigen_1_1ProductReturnType.html"> 149</a></span> <span class="keyword">struct </span><a class="code" href="structEigen_1_1ProductReturnType.html">ProductReturnType</a></div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span> {</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="comment">// TODO use the nested type to reduce instanciations ????</span></div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span> <span class="comment">// typedef typename internal::nested<Lhs,Rhs::ColsAtCompileTime>::type LhsNested;</span></div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span> <span class="comment">// typedef typename internal::nested<Rhs,Lhs::RowsAtCompileTime>::type RhsNested;</span></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> <a class="code" href="classEigen_1_1GeneralProduct.html">GeneralProduct</a><Lhs<span class="comment">/*Nested*/</span>, Rhs<span class="comment">/*Nested*/</span>, ProductType> <a class="code" href="classEigen_1_1GeneralProduct.html">Type</a>;</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> </div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs></div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span> <span class="keyword">struct </span><a class="code" href="structEigen_1_1ProductReturnType.html">ProductReturnType</a><Lhs,Rhs,CoeffBasedProductMode></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">typedef</span> <span class="keyword">typename</span> internal::nested<Lhs, Rhs::ColsAtCompileTime, typename internal::plain_matrix_type<Lhs>::type >::type LhsNested;</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::nested<Rhs, Lhs::RowsAtCompileTime, typename internal::plain_matrix_type<Rhs>::type >::type RhsNested;</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keyword">typedef</span> CoeffBasedProduct<LhsNested, RhsNested, EvalBeforeAssigningBit | EvalBeforeNestingBit> Type;</div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span> };</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> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs></div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span> <span class="keyword">struct </span>ProductReturnType<Lhs,Rhs,LazyCoeffBasedProductMode></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>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::nested<Lhs, Rhs::ColsAtCompileTime, typename internal::plain_matrix_type<Lhs>::type >::type LhsNested;</div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::nested<Rhs, Lhs::RowsAtCompileTime, typename internal::plain_matrix_type<Rhs>::type >::type RhsNested;</div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keyword">typedef</span> CoeffBasedProduct<LhsNested, RhsNested, NestByRefBit> Type;</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> </div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span> <span class="comment">// this is a workaround for sun CC</span></div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs></div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span> <span class="keyword">struct </span>LazyProductReturnType : <span class="keyword">public</span> ProductReturnType<Lhs,Rhs,LazyCoeffBasedProductMode></div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span> {};</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span> </div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span> <span class="comment">/***********************************************************************</span></div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span> <span class="comment">* Implementation of Inner Vector Vector Product</span></div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span> <span class="comment">***********************************************************************/</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> <span class="comment">// FIXME : maybe the "inner product" could return a Scalar</span></div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span> <span class="comment">// instead of a 1x1 matrix ??</span></div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span> <span class="comment">// Pro: more natural for the user</span></div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span> <span class="comment">// Cons: this could be a problem if in a meta unrolled algorithm a matrix-matrix</span></div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span> <span class="comment">// product ends up to a row-vector times col-vector product... To tackle this use</span></div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span> <span class="comment">// case, we could have a specialization for Block<MatrixType,1,1> with: operator=(Scalar x);</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> <span class="keyword">namespace </span>internal {</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> Lhs, <span class="keyword">typename</span> Rhs></div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span> <span class="keyword">struct </span>traits<GeneralProduct<Lhs,Rhs,InnerProduct> ></div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  : traits<Matrix<typename scalar_product_traits<typename Lhs::Scalar, typename Rhs::Scalar>::ReturnType,1,1> ></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> </div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs></div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span> <span class="keyword">class </span>GeneralProduct<Lhs, Rhs, InnerProduct></div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  : internal::no_assignment_operator,</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keyword">public</span> Matrix<typename internal::scalar_product_traits<typename Lhs::Scalar, typename Rhs::Scalar>::ReturnType,1,1></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">typedef</span> Matrix<typename internal::scalar_product_traits<typename Lhs::Scalar, typename Rhs::Scalar>::ReturnType,1,1> Base;</div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  GeneralProduct(<span class="keyword">const</span> Lhs& lhs, <span class="keyword">const</span> Rhs& rhs)</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>  EIGEN_STATIC_ASSERT((internal::is_same<typename Lhs::RealScalar, typename Rhs::RealScalar>::value),</div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)</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>  Base::coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();</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> </div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  operator const typename Base::Scalar()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keywordflow">return</span> Base::coeff(0,0);</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  }</div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span> };</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span> </div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span> <span class="comment">/***********************************************************************</span></div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span> <span class="comment">* Implementation of Outer Vector Vector Product</span></div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span> <span class="comment">***********************************************************************/</span></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> <span class="keyword">namespace </span>internal {</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> <span class="comment">// Column major</span></div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span> <span class="keyword">template</span><<span class="keyword">typename</span> ProductType, <span class="keyword">typename</span> Dest, <span class="keyword">typename</span> Func></div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span> EIGEN_DONT_INLINE <span class="keywordtype">void</span> outer_product_selector_run(<span class="keyword">const</span> ProductType& prod, Dest& dest, <span class="keyword">const</span> Func& func, <span class="keyword">const</span> false_type&)</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">typedef</span> <span class="keyword">typename</span> Dest::Index Index;</div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="comment">// FIXME make sure lhs is sequentially stored</span></div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="comment">// FIXME not very good if rhs is real and lhs complex while alpha is real too</span></div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keyword">const</span> Index cols = dest.cols();</div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keywordflow">for</span> (Index j=0; j<cols; ++j)</div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  func(dest.col(j), prod.rhs().coeff(j) * prod.lhs());</div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span> }</div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span> </div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span> <span class="comment">// Row major</span></div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span> <span class="keyword">template</span><<span class="keyword">typename</span> ProductType, <span class="keyword">typename</span> Dest, <span class="keyword">typename</span> Func></div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span> EIGEN_DONT_INLINE <span class="keywordtype">void</span> outer_product_selector_run(<span class="keyword">const</span> ProductType& prod, Dest& dest, <span class="keyword">const</span> Func& func, <span class="keyword">const</span> true_type&) {</div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Dest::Index Index;</div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="comment">// FIXME make sure rhs is sequentially stored</span></div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="comment">// FIXME not very good if lhs is real and rhs complex while alpha is real too</span></div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keyword">const</span> Index rows = dest.rows();</div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keywordflow">for</span> (Index i=0; i<rows; ++i)</div>
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  func(dest.row(i), prod.lhs().coeff(i) * prod.rhs());</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> </div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs></div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span> <span class="keyword">struct </span>traits<GeneralProduct<Lhs,Rhs,OuterProduct> ></div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  : traits<ProductBase<GeneralProduct<Lhs,Rhs,OuterProduct>, Lhs, Rhs> ></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> </div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span> }</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">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs></div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span> <span class="keyword">class </span>GeneralProduct<Lhs, Rhs, OuterProduct></div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  : <span class="keyword">public</span> ProductBase<GeneralProduct<Lhs,Rhs,OuterProduct>, Lhs, Rhs></div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span> {</div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keyword">template</span><<span class="keyword">typename</span> T> <span class="keyword">struct </span>IsRowMajor : internal::conditional<(int(T::Flags)&RowMajorBit), internal::true_type, internal::false_type>::type {};</div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  </div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  EIGEN_PRODUCT_PUBLIC_INTERFACE(GeneralProduct)</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>  GeneralProduct(const Lhs& lhs, const Rhs& rhs) : Base(lhs,rhs)</div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  {</div>
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  EIGEN_STATIC_ASSERT((internal::is_same<typename Lhs::RealScalar, typename Rhs::RealScalar>::value),</div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)</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>  </div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keyword">struct </span>set { <span class="keyword">template</span><<span class="keyword">typename</span> Dst, <span class="keyword">typename</span> Src> <span class="keywordtype">void</span> operator()(<span class="keyword">const</span> Dst& dst, <span class="keyword">const</span> Src& src)<span class="keyword"> const </span>{ dst.const_cast_derived() = src; } };</div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keyword">struct </span>add { <span class="keyword">template</span><<span class="keyword">typename</span> Dst, <span class="keyword">typename</span> Src> <span class="keywordtype">void</span> operator()(<span class="keyword">const</span> Dst& dst, <span class="keyword">const</span> Src& src)<span class="keyword"> const </span>{ dst.const_cast_derived() += src; } };</div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keyword">struct </span>sub { <span class="keyword">template</span><<span class="keyword">typename</span> Dst, <span class="keyword">typename</span> Src> <span class="keywordtype">void</span> operator()(<span class="keyword">const</span> Dst& dst, <span class="keyword">const</span> Src& src)<span class="keyword"> const </span>{ dst.const_cast_derived() -= src; } };</div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="keyword">struct </span>adds {</div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  Scalar m_scale;</div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  adds(<span class="keyword">const</span> Scalar& s) : m_scale(s) {}</div>
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Dst, <span class="keyword">typename</span> Src> <span class="keywordtype">void</span> operator()(<span class="keyword">const</span> Dst& dst, <span class="keyword">const</span> Src& src)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  dst.const_cast_derived() += m_scale * src;</div>
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  }</div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  };</div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  </div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Dest></div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> evalTo(Dest& dest)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  internal::outer_product_selector_run(*<span class="keyword">this</span>, dest, set(), IsRowMajor<Dest>());</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>  </div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Dest></div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> addTo(Dest& dest)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  internal::outer_product_selector_run(*<span class="keyword">this</span>, dest, add(), IsRowMajor<Dest>());</div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  }</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>  <span class="keyword">template</span><<span class="keyword">typename</span> Dest></div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> subTo(Dest& dest)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  internal::outer_product_selector_run(*<span class="keyword">this</span>, dest, sub(), IsRowMajor<Dest>());</div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  }</div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span> </div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</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="l00298"></a><span class="lineno"> 298</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  internal::outer_product_selector_run(*<span class="keyword">this</span>, dest, adds(alpha), IsRowMajor<Dest>());</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> };</div>
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span> </div>
<div class="line"><a name="l00303"></a><span class="lineno"> 303</span> <span class="comment">/***********************************************************************</span></div>
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span> <span class="comment">* Implementation of General Matrix Vector Product</span></div>
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span> <span class="comment">***********************************************************************/</span></div>
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span> </div>
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span> <span class="comment">/* According to the shape/flags of the matrix we have to distinghish 3 different cases:</span></div>
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span> <span class="comment"> * 1 - the matrix is col-major, BLAS compatible and M is large => call fast BLAS-like colmajor routine</span></div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span> <span class="comment"> * 2 - the matrix is row-major, BLAS compatible and N is large => call fast BLAS-like rowmajor routine</span></div>
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span> <span class="comment"> * 3 - all other cases are handled using a simple loop along the outer-storage direction.</span></div>
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span> <span class="comment"> * Therefore we need a lower level meta selector.</span></div>
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span> <span class="comment"> * Furthermore, if the matrix is the rhs, then the product has to be transposed.</span></div>
<div class="line"><a name="l00313"></a><span class="lineno"> 313</span> <span class="comment"> */</span></div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span> <span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span> </div>
<div class="line"><a name="l00316"></a><span class="lineno"> 316</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs></div>
<div class="line"><a name="l00317"></a><span class="lineno"> 317</span> <span class="keyword">struct </span>traits<GeneralProduct<Lhs,Rhs,GemvProduct> ></div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  : traits<ProductBase<GeneralProduct<Lhs,Rhs,GemvProduct>, Lhs, Rhs> ></div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span> {};</div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span> </div>
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span> <span class="keyword">template</span><<span class="keywordtype">int</span> S<span class="keywordtype">id</span>e, <span class="keywordtype">int</span> StorageOrder, <span class="keywordtype">bool</span> BlasCompatible></div>
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span> <span class="keyword">struct </span>gemv_selector;</div>
<div class="line"><a name="l00323"></a><span class="lineno"> 323</span> </div>
<div class="line"><a name="l00324"></a><span class="lineno"> 324</span> } <span class="comment">// end namespace internal</span></div>
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span> </div>
<div class="line"><a name="l00326"></a><span class="lineno"> 326</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs></div>
<div class="line"><a name="l00327"></a><span class="lineno"> 327</span> <span class="keyword">class </span>GeneralProduct<Lhs, Rhs, GemvProduct></div>
<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  : <span class="keyword">public</span> ProductBase<GeneralProduct<Lhs,Rhs,GemvProduct>, Lhs, Rhs></div>
<div class="line"><a name="l00329"></a><span class="lineno"> 329</span> {</div>
<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  EIGEN_PRODUCT_PUBLIC_INTERFACE(GeneralProduct)</div>
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span> </div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  typedef typename Lhs::Scalar LhsScalar;</div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  typedef typename Rhs::Scalar RhsScalar;</div>
<div class="line"><a name="l00335"></a><span class="lineno"> 335</span> </div>
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  GeneralProduct(const Lhs& a_lhs, const Rhs& a_rhs) : Base(a_lhs,a_rhs)</div>
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  {</div>
<div class="line"><a name="l00338"></a><span class="lineno"> 338</span> <span class="comment">// EIGEN_STATIC_ASSERT((internal::is_same<typename Lhs::Scalar, typename Rhs::Scalar>::value),</span></div>
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span> <span class="comment">// YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)</span></div>
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  }</div>
<div class="line"><a name="l00341"></a><span class="lineno"> 341</span> </div>
<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="keyword">enum</span> { Side = Lhs::IsVectorAtCompileTime ? <a class="code" href="group__enums.html#gga3f4a95405348aa63ef907e692901011fa02217d2d79111440646e3b00c747745f">OnTheLeft</a> : <a class="code" href="group__enums.html#gga3f4a95405348aa63ef907e692901011faeda0d7b1859ec757de18ee3b7c6c541c">OnTheRight</a> };</div>
<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::conditional<int(Side)==OnTheRight,_LhsNested,_RhsNested>::type MatrixType;</div>
<div class="line"><a name="l00344"></a><span class="lineno"> 344</span> </div>
<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Dest> <span class="keywordtype">void</span> scaleAndAddTo(Dest& dst, <span class="keyword">const</span> Scalar& alpha)<span class="keyword"> const</span></div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  eigen_assert(m_lhs.rows() == dst.rows() && m_rhs.cols() == dst.cols());</div>
<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  internal::gemv_selector<Side,(int(MatrixType::Flags)&<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="l00349"></a><span class="lineno"> 349</span>  <span class="keywordtype">bool</span>(internal::blas_traits<MatrixType>::HasUsableDirectAccess)>::run(*<span class="keyword">this</span>, dst, alpha);</div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  }</div>
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span> };</div>
<div class="line"><a name="l00352"></a><span class="lineno"> 352</span> </div>
<div class="line"><a name="l00353"></a><span class="lineno"> 353</span> <span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span> </div>
<div class="line"><a name="l00355"></a><span class="lineno"> 355</span> <span class="comment">// The vector is on the left => transposition</span></div>
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span> <span class="keyword">template</span><<span class="keywordtype">int</span> StorageOrder, <span class="keywordtype">bool</span> BlasCompatible></div>
<div class="line"><a name="l00357"></a><span class="lineno"> 357</span> <span class="keyword">struct </span>gemv_selector<<a class="code" href="group__enums.html#gga3f4a95405348aa63ef907e692901011fa02217d2d79111440646e3b00c747745f">OnTheLeft</a>,StorageOrder,BlasCompatible></div>
<div class="line"><a name="l00358"></a><span class="lineno"> 358</span> {</div>
<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="keyword">template</span><<span class="keyword">typename</span> ProductType, <span class="keyword">typename</span> Dest></div>
<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> run(<span class="keyword">const</span> ProductType& prod, Dest& dest, <span class="keyword">const</span> <span class="keyword">typename</span> ProductType::Scalar& alpha)</div>
<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  {</div>
<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  Transpose<Dest> destT(dest);</div>
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="keyword">enum</span> { OtherStorageOrder = StorageOrder == <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a> ? <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a> : <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a> };</div>
<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  gemv_selector<OnTheRight,OtherStorageOrder,BlasCompatible></div>
<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  ::run(GeneralProduct<Transpose<const typename ProductType::_RhsNested>,Transpose<const typename ProductType::_LhsNested>, GemvProduct></div>
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  (prod.rhs().transpose(), prod.lhs().transpose()), destT, alpha);</div>
<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  }</div>
<div class="line"><a name="l00368"></a><span class="lineno"> 368</span> };</div>
<div class="line"><a name="l00369"></a><span class="lineno"> 369</span> </div>
<div class="line"><a name="l00370"></a><span class="lineno"> 370</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar,<span class="keywordtype">int</span> Size,<span class="keywordtype">int</span> MaxSize,<span class="keywordtype">bool</span> Cond> <span class="keyword">struct </span>gemv_static_vector_if;</div>
<div class="line"><a name="l00371"></a><span class="lineno"> 371</span> </div>
<div class="line"><a name="l00372"></a><span class="lineno"> 372</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar,<span class="keywordtype">int</span> Size,<span class="keywordtype">int</span> MaxSize></div>
<div class="line"><a name="l00373"></a><span class="lineno"> 373</span> <span class="keyword">struct </span>gemv_static_vector_if<Scalar,Size,MaxSize,false></div>
<div class="line"><a name="l00374"></a><span class="lineno"> 374</span> {</div>
<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  EIGEN_STRONG_INLINE Scalar* data() { eigen_internal_assert(<span class="keyword">false</span> && <span class="stringliteral">"should never be called"</span>); <span class="keywordflow">return</span> 0; }</div>
<div class="line"><a name="l00376"></a><span class="lineno"> 376</span> };</div>
<div class="line"><a name="l00377"></a><span class="lineno"> 377</span> </div>
<div class="line"><a name="l00378"></a><span class="lineno"> 378</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar,<span class="keywordtype">int</span> Size></div>
<div class="line"><a name="l00379"></a><span class="lineno"> 379</span> <span class="keyword">struct </span>gemv_static_vector_if<Scalar,Size,<a class="code" href="namespaceEigen.html#adc9da5be31bdce40c25a92c27999c0e3">Dynamic</a>,true></div>
<div class="line"><a name="l00380"></a><span class="lineno"> 380</span> {</div>
<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  EIGEN_STRONG_INLINE Scalar* data() { <span class="keywordflow">return</span> 0; }</div>
<div class="line"><a name="l00382"></a><span class="lineno"> 382</span> };</div>
<div class="line"><a name="l00383"></a><span class="lineno"> 383</span> </div>
<div class="line"><a name="l00384"></a><span class="lineno"> 384</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar,<span class="keywordtype">int</span> Size,<span class="keywordtype">int</span> MaxSize></div>
<div class="line"><a name="l00385"></a><span class="lineno"> 385</span> <span class="keyword">struct </span>gemv_static_vector_if<Scalar,Size,MaxSize,true></div>
<div class="line"><a name="l00386"></a><span class="lineno"> 386</span> {</div>
<div class="line"><a name="l00387"></a><span class="lineno"> 387</span> <span class="preprocessor"> #if EIGEN_ALIGN_STATICALLY</span></div>
<div class="line"><a name="l00388"></a><span class="lineno"> 388</span> <span class="preprocessor"></span> internal::plain_array<Scalar,EIGEN_SIZE_MIN_PREFER_FIXED(Size,MaxSize),0> m_data;</div>
<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  EIGEN_STRONG_INLINE Scalar* data() { <span class="keywordflow">return</span> m_data.array; }</div>
<div class="line"><a name="l00390"></a><span class="lineno"> 390</span> <span class="preprocessor"> #else</span></div>
<div class="line"><a name="l00391"></a><span class="lineno"> 391</span> <span class="preprocessor"></span> <span class="comment">// Some architectures cannot align on the stack,</span></div>
<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <span class="comment">// => let's manually enforce alignment by allocating more data and return the address of the first aligned element.</span></div>
<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  ForceAlignment = internal::packet_traits<Scalar>::Vectorizable,</div>
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  PacketSize = internal::packet_traits<Scalar>::size</div>
<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  };</div>
<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  internal::plain_array<Scalar,EIGEN_SIZE_MIN_PREFER_FIXED(Size,MaxSize)+(ForceAlignment?PacketSize:0),0> m_data;</div>
<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  EIGEN_STRONG_INLINE Scalar* data() {</div>
<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="keywordflow">return</span> ForceAlignment</div>
<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  ? <span class="keyword">reinterpret_cast<</span>Scalar*<span class="keyword">></span>((<span class="keyword">reinterpret_cast<</span><span class="keywordtype">size_t</span><span class="keyword">></span>(m_data.array) & ~(<span class="keywordtype">size_t</span>(15))) + 16)</div>
<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  : m_data.array;</div>
<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  }</div>
<div class="line"><a name="l00403"></a><span class="lineno"> 403</span> <span class="preprocessor"> #endif</span></div>
<div class="line"><a name="l00404"></a><span class="lineno"> 404</span> <span class="preprocessor"></span>};</div>
<div class="line"><a name="l00405"></a><span class="lineno"> 405</span> </div>
<div class="line"><a name="l00406"></a><span class="lineno"> 406</span> <span class="keyword">template</span><> <span class="keyword">struct </span>gemv_selector<<a class="code" href="group__enums.html#gga3f4a95405348aa63ef907e692901011faeda0d7b1859ec757de18ee3b7c6c541c">OnTheRight</a>,<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>,true></div>
<div class="line"><a name="l00407"></a><span class="lineno"> 407</span> {</div>
<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="keyword">template</span><<span class="keyword">typename</span> ProductType, <span class="keyword">typename</span> Dest></div>
<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <span class="keyword">static</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> run(<span class="keyword">const</span> ProductType& prod, Dest& dest, <span class="keyword">const</span> <span class="keyword">typename</span> ProductType::Scalar& alpha)</div>
<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  {</div>
<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> ProductType::Index Index;</div>
<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> ProductType::LhsScalar LhsScalar;</div>
<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> ProductType::RhsScalar RhsScalar;</div>
<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> ProductType::Scalar ResScalar;</div>
<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> ProductType::RealScalar RealScalar;</div>
<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> ProductType::ActualLhsType ActualLhsType;</div>
<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> ProductType::ActualRhsType ActualRhsType;</div>
<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> ProductType::LhsBlasTraits LhsBlasTraits;</div>
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> ProductType::RhsBlasTraits RhsBlasTraits;</div>
<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="keyword">typedef</span> Map<Matrix<ResScalar,Dynamic,1>, <a class="code" href="group__enums.html#gga456ac33d49271d3e2c371351cd1d6371ad5380ca00f3d74b38593adf8a0d06d3e">Aligned</a>> MappedDest;</div>
<div class="line"><a name="l00421"></a><span class="lineno"> 421</span> </div>
<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  ActualLhsType actualLhs = LhsBlasTraits::extract(prod.lhs());</div>
<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  ActualRhsType actualRhs = RhsBlasTraits::extract(prod.rhs());</div>
<div class="line"><a name="l00424"></a><span class="lineno"> 424</span> </div>
<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  ResScalar actualAlpha = alpha * LhsBlasTraits::extractScalarFactor(prod.lhs())</div>
<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  * RhsBlasTraits::extractScalarFactor(prod.rhs());</div>
<div class="line"><a name="l00427"></a><span class="lineno"> 427</span> </div>
<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="comment">// FIXME find a way to allow an inner stride on the result if packet_traits<Scalar>::size==1</span></div>
<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  <span class="comment">// on, the other hand it is good for the cache to pack the vector anyways...</span></div>
<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  EvalToDestAtCompileTime = Dest::InnerStrideAtCompileTime==1,</div>
<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  ComplexByReal = (NumTraits<LhsScalar>::IsComplex) && (!NumTraits<RhsScalar>::IsComplex),</div>
<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  MightCannotUseDest = (Dest::InnerStrideAtCompileTime!=1) || ComplexByReal</div>
<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  };</div>
<div class="line"><a name="l00435"></a><span class="lineno"> 435</span> </div>
<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  gemv_static_vector_if<ResScalar,Dest::SizeAtCompileTime,Dest::MaxSizeAtCompileTime,MightCannotUseDest> static_dest;</div>
<div class="line"><a name="l00437"></a><span class="lineno"> 437</span> </div>
<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <span class="keywordtype">bool</span> alphaIsCompatible = (!ComplexByReal) || (numext::imag(actualAlpha)==RealScalar(0));</div>
<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <span class="keywordtype">bool</span> evalToDest = EvalToDestAtCompileTime && alphaIsCompatible;</div>
<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  </div>
<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  RhsScalar compatibleAlpha = get_factor<ResScalar,RhsScalar>::run(actualAlpha);</div>
<div class="line"><a name="l00442"></a><span class="lineno"> 442</span> </div>
<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  ei_declare_aligned_stack_constructed_variable(ResScalar,actualDestPtr,dest.size(),</div>
<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  evalToDest ? dest.data() : static_dest.data());</div>
<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  </div>
<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="keywordflow">if</span>(!evalToDest)</div>
<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  {</div>
<div class="line"><a name="l00448"></a><span class="lineno"> 448</span> <span class="preprocessor"> #ifdef EIGEN_DENSE_STORAGE_CTOR_PLUGIN</span></div>
<div class="line"><a name="l00449"></a><span class="lineno"> 449</span> <span class="preprocessor"></span> <span class="keywordtype">int</span> size = dest.size();</div>
<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  EIGEN_DENSE_STORAGE_CTOR_PLUGIN</div>
<div class="line"><a name="l00451"></a><span class="lineno"> 451</span> <span class="preprocessor"> #endif</span></div>
<div class="line"><a name="l00452"></a><span class="lineno"> 452</span> <span class="preprocessor"></span> <span class="keywordflow">if</span>(!alphaIsCompatible)</div>
<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  {</div>
<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  MappedDest(actualDestPtr, dest.size()).setZero();</div>
<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  compatibleAlpha = RhsScalar(1);</div>
<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  }</div>
<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  MappedDest(actualDestPtr, dest.size()) = dest;</div>
<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  }</div>
<div class="line"><a name="l00460"></a><span class="lineno"> 460</span> </div>
<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  general_matrix_vector_product</div>
<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  <Index,LhsScalar,<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsBlasTraits::NeedToConjugate>::run(</div>
<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  actualLhs.rows(), actualLhs.cols(),</div>
<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  actualLhs.data(), actualLhs.outerStride(),</div>
<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  actualRhs.data(), actualRhs.innerStride(),</div>
<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  actualDestPtr, 1,</div>
<div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  compatibleAlpha);</div>
<div class="line"><a name="l00468"></a><span class="lineno"> 468</span> </div>
<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <span class="keywordflow">if</span> (!evalToDest)</div>
<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  {</div>
<div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <span class="keywordflow">if</span>(!alphaIsCompatible)</div>
<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  dest += actualAlpha * MappedDest(actualDestPtr, dest.size());</div>
<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  dest = MappedDest(actualDestPtr, dest.size());</div>
<div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  }</div>
<div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  }</div>
<div class="line"><a name="l00477"></a><span class="lineno"> 477</span> };</div>
<div class="line"><a name="l00478"></a><span class="lineno"> 478</span> </div>
<div class="line"><a name="l00479"></a><span class="lineno"> 479</span> <span class="keyword">template</span><> <span class="keyword">struct </span>gemv_selector<<a class="code" href="group__enums.html#gga3f4a95405348aa63ef907e692901011faeda0d7b1859ec757de18ee3b7c6c541c">OnTheRight</a>,<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>,true></div>
<div class="line"><a name="l00480"></a><span class="lineno"> 480</span> {</div>
<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <span class="keyword">template</span><<span class="keyword">typename</span> ProductType, <span class="keyword">typename</span> Dest></div>
<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> run(<span class="keyword">const</span> ProductType& prod, Dest& dest, <span class="keyword">const</span> <span class="keyword">typename</span> ProductType::Scalar& alpha)</div>
<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  {</div>
<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> ProductType::LhsScalar LhsScalar;</div>
<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> ProductType::RhsScalar RhsScalar;</div>
<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> ProductType::Scalar ResScalar;</div>
<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> ProductType::Index Index;</div>
<div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> ProductType::ActualLhsType ActualLhsType;</div>
<div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> ProductType::ActualRhsType ActualRhsType;</div>
<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> ProductType::_ActualRhsType _ActualRhsType;</div>
<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> ProductType::LhsBlasTraits LhsBlasTraits;</div>
<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> ProductType::RhsBlasTraits RhsBlasTraits;</div>
<div class="line"><a name="l00493"></a><span class="lineno"> 493</span> </div>
<div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <span class="keyword">typename</span> add_const<ActualLhsType>::type actualLhs = LhsBlasTraits::extract(prod.lhs());</div>
<div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <span class="keyword">typename</span> add_const<ActualRhsType>::type actualRhs = RhsBlasTraits::extract(prod.rhs());</div>
<div class="line"><a name="l00496"></a><span class="lineno"> 496</span> </div>
<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  ResScalar actualAlpha = alpha * LhsBlasTraits::extractScalarFactor(prod.lhs())</div>
<div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  * RhsBlasTraits::extractScalarFactor(prod.rhs());</div>
<div class="line"><a name="l00499"></a><span class="lineno"> 499</span> </div>
<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  <span class="comment">// FIXME find a way to allow an inner stride on the result if packet_traits<Scalar>::size==1</span></div>
<div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <span class="comment">// on, the other hand it is good for the cache to pack the vector anyways...</span></div>
<div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  DirectlyUseRhs = _ActualRhsType::InnerStrideAtCompileTime==1</div>
<div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  };</div>
<div class="line"><a name="l00505"></a><span class="lineno"> 505</span> </div>
<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  gemv_static_vector_if<RhsScalar,_ActualRhsType::SizeAtCompileTime,_ActualRhsType::MaxSizeAtCompileTime,!DirectlyUseRhs> static_rhs;</div>
<div class="line"><a name="l00507"></a><span class="lineno"> 507</span> </div>
<div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  ei_declare_aligned_stack_constructed_variable(RhsScalar,actualRhsPtr,actualRhs.size(),</div>
<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  DirectlyUseRhs ? <span class="keyword">const_cast<</span>RhsScalar*<span class="keyword">></span>(actualRhs.data()) : static_rhs.data());</div>
<div class="line"><a name="l00510"></a><span class="lineno"> 510</span> </div>
<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <span class="keywordflow">if</span>(!DirectlyUseRhs)</div>
<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  {</div>
<div class="line"><a name="l00513"></a><span class="lineno"> 513</span> <span class="preprocessor"> #ifdef EIGEN_DENSE_STORAGE_CTOR_PLUGIN</span></div>
<div class="line"><a name="l00514"></a><span class="lineno"> 514</span> <span class="preprocessor"></span> <span class="keywordtype">int</span> size = actualRhs.size();</div>
<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  EIGEN_DENSE_STORAGE_CTOR_PLUGIN</div>
<div class="line"><a name="l00516"></a><span class="lineno"> 516</span> <span class="preprocessor"> #endif</span></div>
<div class="line"><a name="l00517"></a><span class="lineno"> 517</span> <span class="preprocessor"></span> Map<typename _ActualRhsType::PlainObject>(actualRhsPtr, actualRhs.size()) = actualRhs;</div>
<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  }</div>
<div class="line"><a name="l00519"></a><span class="lineno"> 519</span> </div>
<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  general_matrix_vector_product</div>
<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  <Index,LhsScalar,<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsBlasTraits::NeedToConjugate>::run(</div>
<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  actualLhs.rows(), actualLhs.cols(),</div>
<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  actualLhs.data(), actualLhs.outerStride(),</div>
<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  actualRhsPtr, 1,</div>
<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  dest.data(), dest.innerStride(),</div>
<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  actualAlpha);</div>
<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  }</div>
<div class="line"><a name="l00528"></a><span class="lineno"> 528</span> };</div>
<div class="line"><a name="l00529"></a><span class="lineno"> 529</span> </div>
<div class="line"><a name="l00530"></a><span class="lineno"> 530</span> <span class="keyword">template</span><> <span class="keyword">struct </span>gemv_selector<<a class="code" href="group__enums.html#gga3f4a95405348aa63ef907e692901011faeda0d7b1859ec757de18ee3b7c6c541c">OnTheRight</a>,ColMajor,false></div>
<div class="line"><a name="l00531"></a><span class="lineno"> 531</span> {</div>
<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <span class="keyword">template</span><<span class="keyword">typename</span> ProductType, <span class="keyword">typename</span> Dest></div>
<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> run(<span class="keyword">const</span> ProductType& prod, Dest& dest, <span class="keyword">const</span> <span class="keyword">typename</span> ProductType::Scalar& alpha)</div>
<div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  {</div>
<div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Dest::Index Index;</div>
<div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  <span class="comment">// TODO makes sure dest is sequentially stored in memory, otherwise use a temp</span></div>
<div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <span class="keyword">const</span> Index size = prod.rhs().rows();</div>
<div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  <span class="keywordflow">for</span>(Index k=0; k<size; ++k)</div>
<div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  dest += (alpha*prod.rhs().coeff(k)) * prod.lhs().col(k);</div>
<div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  }</div>
<div class="line"><a name="l00541"></a><span class="lineno"> 541</span> };</div>
<div class="line"><a name="l00542"></a><span class="lineno"> 542</span> </div>
<div class="line"><a name="l00543"></a><span class="lineno"> 543</span> <span class="keyword">template</span><> <span class="keyword">struct </span>gemv_selector<<a class="code" href="group__enums.html#gga3f4a95405348aa63ef907e692901011faeda0d7b1859ec757de18ee3b7c6c541c">OnTheRight</a>,RowMajor,false></div>
<div class="line"><a name="l00544"></a><span class="lineno"> 544</span> {</div>
<div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  <span class="keyword">template</span><<span class="keyword">typename</span> ProductType, <span class="keyword">typename</span> Dest></div>
<div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> run(<span class="keyword">const</span> ProductType& prod, Dest& dest, <span class="keyword">const</span> <span class="keyword">typename</span> ProductType::Scalar& alpha)</div>
<div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  {</div>
<div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Dest::Index Index;</div>
<div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  <span class="comment">// TODO makes sure rhs is sequentially stored in memory, otherwise use a temp</span></div>
<div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <span class="keyword">const</span> Index rows = prod.rows();</div>
<div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <span class="keywordflow">for</span>(Index i=0; i<rows; ++i)</div>
<div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  dest.coeffRef(i) += alpha * (prod.lhs().row(i).cwiseProduct(prod.rhs().transpose())).sum();</div>
<div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  }</div>
<div class="line"><a name="l00554"></a><span class="lineno"> 554</span> };</div>
<div class="line"><a name="l00555"></a><span class="lineno"> 555</span> </div>
<div class="line"><a name="l00556"></a><span class="lineno"> 556</span> } <span class="comment">// end namespace internal</span></div>
<div class="line"><a name="l00557"></a><span class="lineno"> 557</span> </div>
<div class="line"><a name="l00558"></a><span class="lineno"> 558</span> <span class="comment">/***************************************************************************</span></div>
<div class="line"><a name="l00559"></a><span class="lineno"> 559</span> <span class="comment">* Implementation of matrix base methods</span></div>
<div class="line"><a name="l00560"></a><span class="lineno"> 560</span> <span class="comment">***************************************************************************/</span></div>
<div class="line"><a name="l00561"></a><span class="lineno"> 561</span> </div>
<div class="line"><a name="l00568"></a><span class="lineno"> 568</span> <span class="keyword">template</span><<span class="keyword">typename</span> Derived></div>
<div class="line"><a name="l00569"></a><span class="lineno"> 569</span> <span class="keyword">template</span><<span class="keyword">typename</span> OtherDerived></div>
<div class="line"><a name="l00570"></a><span class="lineno"> 570</span> <span class="keyword">inline</span> <span class="keyword">const</span> <span class="keyword">typename</span> ProductReturnType<Derived, OtherDerived>::Type</div>
<div class="line"><a name="l00571"></a><span class="lineno"><a class="line" href="classEigen_1_1MatrixBase.html#adf2ccabec2f82b36f445e9c7f58c9080"> 571</a></span> <a class="code" href="classEigen_1_1MatrixBase.html#ae8ab11fb1ef0822aa61527f7ecd77b9d">MatrixBase<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="l00572"></a><span class="lineno"> 572</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  <span class="comment">// A note regarding the function declaration: In MSVC, this function will sometimes</span></div>
<div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  <span class="comment">// not be inlined since DenseStorage is an unwindable object for dynamic</span></div>
<div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  <span class="comment">// matrices and product types are holding a member to store the result.</span></div>
<div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  <span class="comment">// Thus it does not help tagging this function with EIGEN_STRONG_INLINE.</span></div>
<div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  ProductIsValid = Derived::ColsAtCompileTime==<a class="code" href="namespaceEigen.html#adc9da5be31bdce40c25a92c27999c0e3">Dynamic</a></div>
<div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  || OtherDerived::RowsAtCompileTime==<a class="code" href="namespaceEigen.html#adc9da5be31bdce40c25a92c27999c0e3">Dynamic</a></div>
<div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  || int(Derived::ColsAtCompileTime)==int(OtherDerived::RowsAtCompileTime),</div>
<div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  AreVectors = Derived::IsVectorAtCompileTime && OtherDerived::IsVectorAtCompileTime,</div>
<div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  SameSizes = EIGEN_PREDICATE_SAME_MATRIX_SIZE(Derived,OtherDerived)</div>
<div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  };</div>
<div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  <span class="comment">// note to the lost user:</span></div>
<div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  <span class="comment">// * for a dot product use: v1.dot(v2)</span></div>
<div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  <span class="comment">// * for a coeff-wise product use: v1.cwiseProduct(v2)</span></div>
<div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  EIGEN_STATIC_ASSERT(ProductIsValid || !(AreVectors && SameSizes),</div>
<div class="line"><a name="l00588"></a><span class="lineno"> 588</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="l00589"></a><span class="lineno"> 589</span>  EIGEN_STATIC_ASSERT(ProductIsValid || !(SameSizes && !AreVectors),</div>
<div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  INVALID_MATRIX_PRODUCT__IF_YOU_WANTED_A_COEFF_WISE_PRODUCT_YOU_MUST_USE_THE_EXPLICIT_FUNCTION)</div>
<div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  EIGEN_STATIC_ASSERT(ProductIsValid || SameSizes, INVALID_MATRIX_PRODUCT)</div>
<div class="line"><a name="l00592"></a><span class="lineno"> 592</span> <span class="preprocessor">#ifdef EIGEN_DEBUG_PRODUCT</span></div>
<div class="line"><a name="l00593"></a><span class="lineno"> 593</span> <span class="preprocessor"></span> internal::product_type<Derived,OtherDerived>::debug();</div>
<div class="line"><a name="l00594"></a><span class="lineno"> 594</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00595"></a><span class="lineno"> 595</span> <span class="preprocessor"></span> <span class="keywordflow">return</span> <span class="keyword">typename</span> <a class="code" href="classEigen_1_1GeneralProduct.html">ProductReturnType<Derived,OtherDerived>::Type</a>(derived(), other.derived());</div>
<div class="line"><a name="l00596"></a><span class="lineno"> 596</span> }</div>
<div class="line"><a name="l00597"></a><span class="lineno"> 597</span> </div>
<div class="line"><a name="l00609"></a><span class="lineno"> 609</span> <span class="keyword">template</span><<span class="keyword">typename</span> Derived></div>
<div class="line"><a name="l00610"></a><span class="lineno"> 610</span> <span class="keyword">template</span><<span class="keyword">typename</span> OtherDerived></div>
<div class="line"><a name="l00611"></a><span class="lineno"> 611</span> <span class="keyword">const</span> <span class="keyword">typename</span> <a class="code" href="classEigen_1_1GeneralProduct.html">LazyProductReturnType<Derived,OtherDerived>::Type</a></div>
<div class="line"><a name="l00612"></a><span class="lineno"><a class="line" href="classEigen_1_1MatrixBase.html#a605309e450951e44eaf5167c59bc3c97"> 612</a></span> <a class="code" href="classEigen_1_1MatrixBase.html#a605309e450951e44eaf5167c59bc3c97">MatrixBase<Derived>::lazyProduct</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="l00613"></a><span class="lineno"> 613</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  ProductIsValid = Derived::ColsAtCompileTime==<a class="code" href="namespaceEigen.html#adc9da5be31bdce40c25a92c27999c0e3">Dynamic</a></div>
<div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  || OtherDerived::RowsAtCompileTime==<a class="code" href="namespaceEigen.html#adc9da5be31bdce40c25a92c27999c0e3">Dynamic</a></div>
<div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  || int(Derived::ColsAtCompileTime)==int(OtherDerived::RowsAtCompileTime),</div>
<div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  AreVectors = Derived::IsVectorAtCompileTime && OtherDerived::IsVectorAtCompileTime,</div>
<div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  SameSizes = EIGEN_PREDICATE_SAME_MATRIX_SIZE(Derived,OtherDerived)</div>
<div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  };</div>
<div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  <span class="comment">// note to the lost user:</span></div>
<div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  <span class="comment">// * for a dot product use: v1.dot(v2)</span></div>
<div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  <span class="comment">// * for a coeff-wise product use: v1.cwiseProduct(v2)</span></div>
<div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  EIGEN_STATIC_ASSERT(ProductIsValid || !(AreVectors && SameSizes),</div>
<div class="line"><a name="l00625"></a><span class="lineno"> 625</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="l00626"></a><span class="lineno"> 626</span>  EIGEN_STATIC_ASSERT(ProductIsValid || !(SameSizes && !AreVectors),</div>
<div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  INVALID_MATRIX_PRODUCT__IF_YOU_WANTED_A_COEFF_WISE_PRODUCT_YOU_MUST_USE_THE_EXPLICIT_FUNCTION)</div>
<div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  EIGEN_STATIC_ASSERT(ProductIsValid || SameSizes, INVALID_MATRIX_PRODUCT)</div>
<div class="line"><a name="l00629"></a><span class="lineno"> 629</span> </div>
<div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  <span class="keywordflow">return</span> <span class="keyword">typename</span> <a class="code" href="classEigen_1_1GeneralProduct.html">LazyProductReturnType<Derived,OtherDerived>::Type</a>(derived(), other.derived());</div>
<div class="line"><a name="l00631"></a><span class="lineno"> 631</span> }</div>
<div class="line"><a name="l00632"></a><span class="lineno"> 632</span> </div>
<div class="line"><a name="l00633"></a><span class="lineno"> 633</span> } <span class="comment">// end namespace Eigen</span></div>
<div class="line"><a name="l00634"></a><span class="lineno"> 634</span> </div>
<div class="line"><a name="l00635"></a><span class="lineno"> 635</span> <span class="preprocessor">#endif // EIGEN_PRODUCT_H</span></div>
<div class="ttc" id="classEigen_1_1GeneralProduct_html"><div class="ttname"><a href="classEigen_1_1GeneralProduct.html">Eigen::GeneralProduct</a></div><div class="ttdoc">Expression of the product of two general matrices or vectors. </div><div class="ttdef"><b>Definition:</b> GeneralProduct.h:36</div></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="namespaceEigen_html_adc9da5be31bdce40c25a92c27999c0e3"><div class="ttname"><a href="namespaceEigen.html#adc9da5be31bdce40c25a92c27999c0e3">Eigen::Dynamic</a></div><div class="ttdeci">const int Dynamic</div><div class="ttdef"><b>Definition:</b> Constants.h:21</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_1MatrixBase_html_ae8ab11fb1ef0822aa61527f7ecd77b9d"><div class="ttname"><a href="classEigen_1_1MatrixBase.html#ae8ab11fb1ef0822aa61527f7ecd77b9d">Eigen::MatrixBase::operator*</a></div><div class="ttdeci">const ScalarMultipleReturnType operator*(const Scalar &scalar) const </div><div class="ttdef"><b>Definition:</b> MatrixBase.h:50</div></div>
<div class="ttc" id="group__enums_html_gga3f4a95405348aa63ef907e692901011faeda0d7b1859ec757de18ee3b7c6c541c"><div class="ttname"><a href="group__enums.html#gga3f4a95405348aa63ef907e692901011faeda0d7b1859ec757de18ee3b7c6c541c">Eigen::OnTheRight</a></div><div class="ttdef"><b>Definition:</b> Constants.h:279</div></div>
<div class="ttc" id="classEigen_1_1MatrixBase_html_a605309e450951e44eaf5167c59bc3c97"><div class="ttname"><a href="classEigen_1_1MatrixBase.html#a605309e450951e44eaf5167c59bc3c97">Eigen::MatrixBase::lazyProduct</a></div><div class="ttdeci">const LazyProductReturnType< Derived, OtherDerived >::Type lazyProduct(const MatrixBase< OtherDerived > &other) const </div><div class="ttdef"><b>Definition:</b> GeneralProduct.h:612</div></div>
<div class="ttc" id="group__enums_html_gga456ac33d49271d3e2c371351cd1d6371ad5380ca00f3d74b38593adf8a0d06d3e"><div class="ttname"><a href="group__enums.html#gga456ac33d49271d3e2c371351cd1d6371ad5380ca00f3d74b38593adf8a0d06d3e">Eigen::Aligned</a></div><div class="ttdef"><b>Definition:</b> Constants.h:194</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="structEigen_1_1ProductReturnType_html"><div class="ttname"><a href="structEigen_1_1ProductReturnType.html">Eigen::ProductReturnType</a></div><div class="ttdoc">Helper class to get the correct and optimized returned type of operator*. </div><div class="ttdef"><b>Definition:</b> GeneralProduct.h:149</div></div>
<div class="ttc" id="group__enums_html_gga3f4a95405348aa63ef907e692901011fa02217d2d79111440646e3b00c747745f"><div class="ttname"><a href="group__enums.html#gga3f4a95405348aa63ef907e692901011fa02217d2d79111440646e3b00c747745f">Eigen::OnTheLeft</a></div><div class="ttdef"><b>Definition:</b> Constants.h:277</div></div>
<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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