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<div class="title">SparseBlock.h</div> </div>
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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">// This file is part of Eigen, a lightweight C++ template library</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// for linear algebra.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">//</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr></span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment">//</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment">// This Source Code Form is subject to the terms of the Mozilla</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment">// Public License v. 2.0. If a copy of the MPL was not distributed</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment">// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#ifndef EIGEN_SPARSE_BLOCK_H</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor"></span><span class="preprocessor">#define EIGEN_SPARSE_BLOCK_H</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor"></span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="keyword">namespace </span>Eigen { </div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">template</span><<span class="keyword">typename</span> XprType, <span class="keywordtype">int</span> BlockRows, <span class="keywordtype">int</span> BlockCols></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="keyword">class </span>BlockImpl<XprType,BlockRows,BlockCols,true,Sparse></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  : <span class="keyword">public</span> SparseMatrixBase<Block<XprType,BlockRows,BlockCols,true> ></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> {</div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::remove_all<typename XprType::Nested>::type _MatrixTypeNested;</div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="keyword">typedef</span> Block<XprType, BlockRows, BlockCols, true> BlockType;</div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="keyword">public</span>:</div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="keyword">enum</span> { IsRowMajor = internal::traits<BlockType>::IsRowMajor };</div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="keyword">enum</span> { OuterSize = IsRowMajor ? BlockRows : BlockCols };</div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="keyword">public</span>:</div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  EIGEN_SPARSE_PUBLIC_INTERFACE(BlockType)</div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  </div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  class InnerIterator: public XprType::InnerIterator</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  {</div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> BlockImpl::Index Index;</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keyword">inline</span> InnerIterator(<span class="keyword">const</span> BlockType& xpr, Index outer)</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  : XprType::InnerIterator(xpr.m_matrix, xpr.m_outerStart + outer), m_outer(outer)</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  {}</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keyword">inline</span> Index row()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> IsRowMajor ? m_outer : this->index(); }</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keyword">inline</span> Index col()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> IsRowMajor ? this->index() : m_outer; }</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  Index m_outer;</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  };</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keyword">class </span>ReverseInnerIterator: <span class="keyword">public</span> XprType::ReverseInnerIterator</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>  <span class="keyword">typedef</span> <span class="keyword">typename</span> BlockImpl::Index Index;</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">inline</span> ReverseInnerIterator(<span class="keyword">const</span> BlockType& xpr, Index outer)</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  : XprType::ReverseInnerIterator(xpr.m_matrix, xpr.m_outerStart + outer), m_outer(outer)</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">inline</span> Index row()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> IsRowMajor ? m_outer : this->index(); }</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keyword">inline</span> Index col()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> IsRowMajor ? this->index() : m_outer; }</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  Index m_outer;</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  };</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span> </div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keyword">inline</span> BlockImpl(<span class="keyword">const</span> XprType& xpr, <span class="keywordtype">int</span> i)</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  : m_matrix(xpr), m_outerStart(i), m_outerSize(OuterSize)</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">inline</span> BlockImpl(<span class="keyword">const</span> XprType& xpr, <span class="keywordtype">int</span> startRow, <span class="keywordtype">int</span> startCol, <span class="keywordtype">int</span> blockRows, <span class="keywordtype">int</span> blockCols)</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  : m_matrix(xpr), m_outerStart(IsRowMajor ? startRow : startCol), m_outerSize(IsRowMajor ? blockRows : blockCols)</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  {}</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  EIGEN_STRONG_INLINE Index rows()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> IsRowMajor ? m_outerSize.value() : m_matrix.rows(); }</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  EIGEN_STRONG_INLINE Index cols()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> IsRowMajor ? m_matrix.cols() : m_outerSize.value(); }</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keyword">typename</span> XprType::Nested m_matrix;</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  Index m_outerStart;</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keyword">const</span> internal::variable_if_dynamic<Index, OuterSize> m_outerSize;</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span> };</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="comment">/***************************************************************************</span></div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="comment">* specialisation for SparseMatrix</span></div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="comment">***************************************************************************/</span></div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="keyword">template</span><<span class="keyword">typename</span> _Scalar, <span class="keywordtype">int</span> _Options, <span class="keyword">typename</span> _Index, <span class="keywordtype">int</span> BlockRows, <span class="keywordtype">int</span> BlockCols></div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="keyword">class </span>BlockImpl<SparseMatrix<_Scalar, _Options, _Index>,BlockRows,BlockCols,true,Sparse></div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  : <span class="keyword">public</span> SparseMatrixBase<Block<SparseMatrix<_Scalar, _Options, _Index>,BlockRows,BlockCols,true> ></div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span> {</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keyword">typedef</span> SparseMatrix<_Scalar, _Options, _Index> SparseMatrixType;</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::remove_all<typename SparseMatrixType::Nested>::type _MatrixTypeNested;</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keyword">typedef</span> Block<SparseMatrixType, BlockRows, BlockCols, true> BlockType;</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> { IsRowMajor = internal::traits<BlockType>::IsRowMajor };</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  EIGEN_SPARSE_PUBLIC_INTERFACE(BlockType)</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span> protected:</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  enum { OuterSize = IsRowMajor ? BlockRows : BlockCols };</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="keyword">public</span>:</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  </div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keyword">class </span>InnerIterator: <span class="keyword">public</span> SparseMatrixType::InnerIterator</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  {</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keyword">inline</span> InnerIterator(<span class="keyword">const</span> BlockType& xpr, Index outer)</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  : SparseMatrixType::InnerIterator(xpr.m_matrix, xpr.m_outerStart + outer), m_outer(outer)</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  {}</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keyword">inline</span> Index row()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> IsRowMajor ? m_outer : this->index(); }</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keyword">inline</span> Index col()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> IsRowMajor ? this->index() : m_outer; }</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  Index m_outer;</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>  <span class="keyword">class </span>ReverseInnerIterator: <span class="keyword">public</span> SparseMatrixType::ReverseInnerIterator</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  {</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keyword">inline</span> ReverseInnerIterator(<span class="keyword">const</span> BlockType& xpr, Index outer)</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  : SparseMatrixType::ReverseInnerIterator(xpr.m_matrix, xpr.m_outerStart + outer), m_outer(outer)</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  {}</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keyword">inline</span> Index row()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> IsRowMajor ? m_outer : this->index(); }</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keyword">inline</span> Index col()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> IsRowMajor ? this->index() : m_outer; }</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  Index m_outer;</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  };</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keyword">inline</span> BlockImpl(<span class="keyword">const</span> SparseMatrixType& xpr, <span class="keywordtype">int</span> i)</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  : m_matrix(xpr), m_outerStart(i), m_outerSize(OuterSize)</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  {}</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keyword">inline</span> BlockImpl(<span class="keyword">const</span> SparseMatrixType& xpr, <span class="keywordtype">int</span> startRow, <span class="keywordtype">int</span> startCol, <span class="keywordtype">int</span> blockRows, <span class="keywordtype">int</span> blockCols)</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  : m_matrix(xpr), m_outerStart(IsRowMajor ? startRow : startCol), m_outerSize(IsRowMajor ? blockRows : blockCols)</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  {}</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keyword">template</span><<span class="keyword">typename</span> OtherDerived></div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keyword">inline</span> BlockType& operator=(<span class="keyword">const</span> SparseMatrixBase<OtherDerived>& other)</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  {</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::remove_all<typename SparseMatrixType::Nested>::type _NestedMatrixType;</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  _NestedMatrixType& matrix = <span class="keyword">const_cast<</span>_NestedMatrixType&<span class="keyword">></span>(m_matrix);;</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="comment">// This assignement is slow if this vector set is not empty</span></div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="comment">// and/or it is not at the end of the nonzeros of the underlying matrix.</span></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">// 1 - eval to a temporary to avoid transposition and/or aliasing issues</span></div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  SparseMatrix<Scalar, IsRowMajor ? RowMajor : ColMajor, Index> tmp(other);</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span> </div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="comment">// 2 - let's check whether there is enough allocated memory</span></div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  Index nnz = tmp.nonZeros();</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  Index start = m_outerStart==0 ? 0 : matrix.outerIndexPtr()[m_outerStart]; <span class="comment">// starting position of the current block</span></div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  Index end = m_matrix.outerIndexPtr()[m_outerStart+m_outerSize.value()]; <span class="comment">// ending posiiton of the current block</span></div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  Index block_size = end - start; <span class="comment">// available room in the current block</span></div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  Index tail_size = m_matrix.outerIndexPtr()[m_matrix.outerSize()] - end;</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  </div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  Index free_size = m_matrix.isCompressed()</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  ? Index(matrix.data().allocatedSize()) + block_size</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  : block_size;</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span> </div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordflow">if</span>(nnz>free_size) </div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  {</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="comment">// realloc manually to reduce copies</span></div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keyword">typename</span> SparseMatrixType::Storage newdata(m_matrix.data().allocatedSize() - block_size + nnz);</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span> </div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  std::memcpy(&newdata.value(0), &m_matrix.data().value(0), start*<span class="keyword">sizeof</span>(Scalar));</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  std::memcpy(&newdata.index(0), &m_matrix.data().index(0), start*<span class="keyword">sizeof</span>(Index));</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>  std::memcpy(&newdata.value(start), &tmp.data().value(0), nnz*<span class="keyword">sizeof</span>(Scalar));</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  std::memcpy(&newdata.index(start), &tmp.data().index(0), nnz*<span class="keyword">sizeof</span>(Index));</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span> </div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  std::memcpy(&newdata.value(start+nnz), &matrix.data().value(end), tail_size*<span class="keyword">sizeof</span>(Scalar));</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  std::memcpy(&newdata.index(start+nnz), &matrix.data().index(end), tail_size*<span class="keyword">sizeof</span>(Index));</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>  newdata.resize(m_matrix.outerIndexPtr()[m_matrix.outerSize()] - block_size + nnz);</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span> </div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  matrix.data().swap(newdata);</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="keywordflow">else</span></div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  {</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="comment">// no need to realloc, simply copy the tail at its respective position and insert tmp</span></div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  matrix.data().resize(start + nnz + tail_size);</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>  std::memmove(&matrix.data().value(start+nnz), &matrix.data().value(end), tail_size*<span class="keyword">sizeof</span>(Scalar));</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  std::memmove(&matrix.data().index(start+nnz), &matrix.data().index(end), tail_size*<span class="keyword">sizeof</span>(Index));</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>  std::memcpy(&matrix.data().value(start), &tmp.data().value(0), nnz*<span class="keyword">sizeof</span>(Scalar));</div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  std::memcpy(&matrix.data().index(start), &tmp.data().index(0), nnz*<span class="keyword">sizeof</span>(Index));</div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  }</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  </div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="comment">// update innerNonZeros</span></div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keywordflow">if</span>(!m_matrix.isCompressed())</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keywordflow">for</span>(Index j=0; j<m_outerSize.value(); ++j)</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  matrix.innerNonZeroPtr()[m_outerStart+j] = tmp.innerVector(j).nonZeros();</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>  <span class="comment">// update outer index pointers</span></div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  Index p = start;</div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keywordflow">for</span>(Index k=0; k<m_outerSize.value(); ++k)</div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  {</div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  matrix.outerIndexPtr()[m_outerStart+k] = p;</div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  p += tmp.innerVector(k).nonZeros();</div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  }</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  std::ptrdiff_t offset = nnz - block_size;</div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keywordflow">for</span>(Index k = m_outerStart + m_outerSize.value(); k<=matrix.outerSize(); ++k)</div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  {</div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  matrix.outerIndexPtr()[k] += offset;</div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  }</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span> </div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keywordflow">return</span> derived();</div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  }</div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span> </div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="keyword">inline</span> BlockType& operator=(<span class="keyword">const</span> BlockType& other)</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>  <span class="keywordflow">return</span> <span class="keyword">operator</span>=<BlockType>(other);</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">inline</span> <span class="keyword">const</span> Scalar* valuePtr()<span class="keyword"> const</span></div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span> <span class="keyword"> </span>{ <span class="keywordflow">return</span> m_matrix.valuePtr() + m_matrix.outerIndexPtr()[m_outerStart]; }</div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keyword">inline</span> Scalar* valuePtr()</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  { <span class="keywordflow">return</span> m_matrix.const_cast_derived().valuePtr() + m_matrix.outerIndexPtr()[m_outerStart]; }</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">inline</span> <span class="keyword">const</span> Index* innerIndexPtr()<span class="keyword"> const</span></div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span> <span class="keyword"> </span>{ <span class="keywordflow">return</span> m_matrix.innerIndexPtr() + m_matrix.outerIndexPtr()[m_outerStart]; }</div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keyword">inline</span> Index* innerIndexPtr()</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  { <span class="keywordflow">return</span> m_matrix.const_cast_derived().innerIndexPtr() + m_matrix.outerIndexPtr()[m_outerStart]; }</div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span> </div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keyword">inline</span> <span class="keyword">const</span> Index* outerIndexPtr()<span class="keyword"> const</span></div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span> <span class="keyword"> </span>{ <span class="keywordflow">return</span> m_matrix.outerIndexPtr() + m_outerStart; }</div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keyword">inline</span> Index* outerIndexPtr()</div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  { <span class="keywordflow">return</span> m_matrix.const_cast_derived().outerIndexPtr() + m_outerStart; }</div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span> </div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  Index nonZeros()<span class="keyword"> const</span></div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keywordflow">if</span>(m_matrix.isCompressed())</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keywordflow">return</span> std::size_t(m_matrix.outerIndexPtr()[m_outerStart+m_outerSize.value()])</div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  - std::size_t(m_matrix.outerIndexPtr()[m_outerStart]);</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(m_outerSize.value()==0)</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keywordflow">return</span> 0;</div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keywordflow">return</span> Map<const Matrix<Index,OuterSize,1> >(m_matrix.innerNonZeroPtr()+m_outerStart, m_outerSize.value()).sum();</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  }</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span> </div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keyword">const</span> Scalar& lastCoeff()<span class="keyword"> const</span></div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  EIGEN_STATIC_ASSERT_VECTOR_ONLY(BlockImpl);</div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  eigen_assert(nonZeros()>0);</div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keywordflow">if</span>(m_matrix.isCompressed())</div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keywordflow">return</span> m_matrix.valuePtr()[m_matrix.outerIndexPtr()[m_outerStart+1]-1];</div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keywordflow">return</span> m_matrix.valuePtr()[m_matrix.outerIndexPtr()[m_outerStart]+m_matrix.innerNonZeroPtr()[m_outerStart]-1];</div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  }</div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span> </div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  EIGEN_STRONG_INLINE Index rows()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> IsRowMajor ? m_outerSize.value() : m_matrix.rows(); }</div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  EIGEN_STRONG_INLINE Index cols()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> IsRowMajor ? m_matrix.cols() : m_outerSize.value(); }</div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span> </div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span> </div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keyword">typename</span> SparseMatrixType::Nested m_matrix;</div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  Index m_outerStart;</div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keyword">const</span> internal::variable_if_dynamic<Index, OuterSize> m_outerSize;</div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span> </div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span> };</div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span> </div>
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span> <span class="comment">//----------</span></div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span> </div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span> <span class="keyword">template</span><<span class="keyword">typename</span> Derived></div>
<div class="line"><a name="l00252"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrixBase.html#a82e85a82828faf64db942b76d0cab923"> 252</a></span> <span class="keyword">typename</span> <a class="code" href="classEigen_1_1Block.html">SparseMatrixBase<Derived>::InnerVectorReturnType</a> <a class="code" href="classEigen_1_1SparseMatrixBase.html#a82e85a82828faf64db942b76d0cab923">SparseMatrixBase<Derived>::innerVector</a>(Index outer)</div>
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span> { <span class="keywordflow">return</span> <a class="code" href="classEigen_1_1Block.html">InnerVectorReturnType</a>(derived(), outer); }</div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span> </div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span> <span class="keyword">template</span><<span class="keyword">typename</span> Derived></div>
<div class="line"><a name="l00259"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrixBase.html#aad1506e000d7d2cabb045e7c8154dd88"> 259</a></span> <span class="keyword">const</span> <span class="keyword">typename</span> <a class="code" href="classEigen_1_1Block.html">SparseMatrixBase<Derived>::ConstInnerVectorReturnType</a> <a class="code" href="classEigen_1_1SparseMatrixBase.html#a82e85a82828faf64db942b76d0cab923">SparseMatrixBase<Derived>::innerVector</a>(Index outer)<span class="keyword"> const</span></div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span> <span class="keyword"></span>{ <span class="keywordflow">return</span> <a class="code" href="classEigen_1_1Block.html">ConstInnerVectorReturnType</a>(derived(), outer); }</div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span> </div>
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span> <span class="keyword">template</span><<span class="keyword">typename</span> Derived></div>
<div class="line"><a name="l00266"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrixBase.html#a3523b025393c0f1338b3f2fc0565c32b"> 266</a></span> <a class="code" href="classEigen_1_1Block.html">Block<Derived,Dynamic,Dynamic,true></a> <a class="code" href="classEigen_1_1SparseMatrixBase.html#a3523b025393c0f1338b3f2fc0565c32b">SparseMatrixBase<Derived>::innerVectors</a>(Index outerStart, Index outerSize)</div>
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span> {</div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="keywordflow">return</span> <a class="code" href="classEigen_1_1Block.html">Block<Derived,Dynamic,Dynamic,true></a>(derived(),</div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  IsRowMajor ? outerStart : 0, IsRowMajor ? 0 : outerStart,</div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  IsRowMajor ? outerSize : rows(), IsRowMajor ? cols() : outerSize);</div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  </div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span> }</div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span> </div>
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span> <span class="keyword">template</span><<span class="keyword">typename</span> Derived></div>
<div class="line"><a name="l00278"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrixBase.html#a5e7bd0b37aa3f33539e9ba5aca72d995"> 278</a></span> <span class="keyword">const</span> <a class="code" href="classEigen_1_1Block.html">Block<const Derived,Dynamic,Dynamic,true></a> <a class="code" href="classEigen_1_1SparseMatrixBase.html#a3523b025393c0f1338b3f2fc0565c32b">SparseMatrixBase<Derived>::innerVectors</a>(Index outerStart, Index outerSize)<span class="keyword"> const</span></div>
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="keywordflow">return</span> <a class="code" href="classEigen_1_1Block.html">Block<const Derived,Dynamic,Dynamic,true></a>(derived(),</div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  IsRowMajor ? outerStart : 0, IsRowMajor ? 0 : outerStart,</div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  IsRowMajor ? outerSize : rows(), IsRowMajor ? cols() : outerSize);</div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  </div>
<div class="line"><a name="l00284"></a><span class="lineno"> 284</span> }</div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span> </div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span> <span class="keyword">template</span><<span class="keyword">typename</span> XprType, <span class="keywordtype">int</span> BlockRows, <span class="keywordtype">int</span> BlockCols, <span class="keywordtype">bool</span> InnerPanel></div>
<div class="line"><a name="l00290"></a><span class="lineno"><a class="line" href="classEigen_1_1BlockImpl_3_01XprType_00_01BlockRows_00_01BlockCols_00_01InnerPanel_00_01Sparse_01_4.html"> 290</a></span> <span class="keyword">class </span>BlockImpl<XprType,BlockRows,BlockCols,InnerPanel,<a class="code" href="structEigen_1_1Sparse.html">Sparse</a>></div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  : <span class="keyword">public</span> <a class="code" href="classEigen_1_1SparseMatrixBase.html">SparseMatrixBase</a><Block<XprType,BlockRows,BlockCols,InnerPanel> >, internal::no_assignment_operator</div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span> {</div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::remove_all<typename XprType::Nested>::type _MatrixTypeNested;</div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="keyword">typedef</span> <a class="code" href="classEigen_1_1Block.html">Block<XprType, BlockRows, BlockCols, InnerPanel></a> <a class="code" href="classEigen_1_1Block.html">BlockType</a>;</div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span> <span class="keyword">public</span>:</div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <span class="keyword">enum</span> { IsRowMajor = internal::traits<BlockType>::IsRowMajor };</div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  EIGEN_SPARSE_PUBLIC_INTERFACE(<a class="code" href="classEigen_1_1Block.html">BlockType</a>)</div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span> </div>
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  </div>
<div class="line"><a name="l00301"></a><span class="lineno"><a class="line" href="classEigen_1_1BlockImpl_3_01XprType_00_01BlockRows_00_01BlockCols_00_01InnerPanel_00_01Sparse_01_4.html#ac965517d0ed273e3f276e0520fabcafd"> 301</a></span>  inline BlockImpl(const XprType& xpr, <span class="keywordtype">int</span> i)</div>
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  : m_matrix(xpr),</div>
<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  m_startRow( (BlockRows==1) && (BlockCols==XprType::ColsAtCompileTime) ? i : 0),</div>
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  m_startCol( (BlockRows==XprType::RowsAtCompileTime) && (BlockCols==1) ? i : 0),</div>
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  m_blockRows(xpr.rows()),</div>
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  m_blockCols(xpr.cols())</div>
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  {}</div>
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span> </div>
<div class="line"><a name="l00311"></a><span class="lineno"><a class="line" href="classEigen_1_1BlockImpl_3_01XprType_00_01BlockRows_00_01BlockCols_00_01InnerPanel_00_01Sparse_01_4.html#ac7ddc1c596ed1b16486149b770b3e920"> 311</a></span>  <span class="keyword">inline</span> <a class="code" href="classEigen_1_1BlockImpl_3_01XprType_00_01BlockRows_00_01BlockCols_00_01InnerPanel_00_01Sparse_01_4.html#ac7ddc1c596ed1b16486149b770b3e920">BlockImpl</a>(<span class="keyword">const</span> XprType& xpr, <span class="keywordtype">int</span> startRow, <span class="keywordtype">int</span> startCol, <span class="keywordtype">int</span> blockRows, <span class="keywordtype">int</span> blockCols)</div>
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  : m_matrix(xpr), m_startRow(startRow), m_startCol(startCol), m_blockRows(blockRows), m_blockCols(blockCols)</div>
<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  {}</div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span> </div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="keyword">inline</span> <span class="keywordtype">int</span> rows()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_blockRows.value(); }</div>
<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <span class="keyword">inline</span> <span class="keywordtype">int</span> cols()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_blockCols.value(); }</div>
<div class="line"><a name="l00317"></a><span class="lineno"> 317</span> </div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="keyword">inline</span> Scalar& coeffRef(<span class="keywordtype">int</span> row, <span class="keywordtype">int</span> col)</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>  <span class="keywordflow">return</span> m_matrix.const_cast_derived()</div>
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  .coeffRef(row + m_startRow.value(), col + m_startCol.value());</div>
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  }</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="keyword">inline</span> <span class="keyword">const</span> Scalar coeff(<span class="keywordtype">int</span> row, <span class="keywordtype">int</span> col)<span class="keyword"> const</span></div>
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <span class="keywordflow">return</span> m_matrix.coeff(row + m_startRow.value(), col + m_startCol.value());</div>
<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  }</div>
<div class="line"><a name="l00328"></a><span class="lineno"> 328</span> </div>
<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="keyword">inline</span> Scalar& coeffRef(<span class="keywordtype">int</span> index)</div>
<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  {</div>
<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keywordflow">return</span> m_matrix.const_cast_derived()</div>
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  .coeffRef(m_startRow.value() + (RowsAtCompileTime == 1 ? 0 : index),</div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  m_startCol.value() + (RowsAtCompileTime == 1 ? index : 0));</div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  }</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>  <span class="keyword">inline</span> <span class="keyword">const</span> Scalar coeff(<span class="keywordtype">int</span> index)<span class="keyword"> const</span></div>
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="keywordflow">return</span> m_matrix</div>
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  .coeff(m_startRow.value() + (RowsAtCompileTime == 1 ? 0 : index),</div>
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  m_startCol.value() + (RowsAtCompileTime == 1 ? index : 0));</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>  </div>
<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="keyword">inline</span> <span class="keyword">const</span> _MatrixTypeNested& nestedExpression()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_matrix; }</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">class </span>InnerIterator : <span class="keyword">public</span> _MatrixTypeNested::InnerIterator</div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  {</div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> _MatrixTypeNested::InnerIterator Base;</div>
<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="keyword">const</span> BlockType& m_block;</div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  Index m_end;</div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="keyword">public</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>  EIGEN_STRONG_INLINE InnerIterator(<span class="keyword">const</span> BlockType& block, Index outer)</div>
<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  : Base(block.derived().nestedExpression(), outer + (IsRowMajor ? block.m_startRow.value() : block.m_startCol.value())),</div>
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  m_block(block),</div>
<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  m_end(IsRowMajor ? block.m_startCol.value()+block.m_blockCols.value() : block.m_startRow.value()+block.m_blockRows.value())</div>
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  {</div>
<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <span class="keywordflow">while</span>( (Base::operator <span class="keywordtype">bool</span>()) && (Base::index() < (IsRowMajor ? m_block.m_startCol.value() : m_block.m_startRow.value())) )</div>
<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  Base::operator++();</div>
<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  }</div>
<div class="line"><a name="l00360"></a><span class="lineno"> 360</span> </div>
<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="keyword">inline</span> Index index()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> Base::index() - (IsRowMajor ? m_block.m_startCol.value() : m_block.m_startRow.value()); }</div>
<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="keyword">inline</span> Index outer()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> Base::outer() - (IsRowMajor ? m_block.m_startRow.value() : m_block.m_startCol.value()); }</div>
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="keyword">inline</span> Index row()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> Base::row() - m_block.m_startRow.value(); }</div>
<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keyword">inline</span> Index col()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> Base::col() - m_block.m_startCol.value(); }</div>
<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  </div>
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="keyword">inline</span> <span class="keyword">operator</span> bool()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> Base::operator bool() && Base::index() < m_end; }</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>  <span class="keyword">class </span>ReverseInnerIterator : <span class="keyword">public</span> _MatrixTypeNested::ReverseInnerIterator</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">typedef</span> <span class="keyword">typename</span> _MatrixTypeNested::ReverseInnerIterator Base;</div>
<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <span class="keyword">const</span> BlockType& m_block;</div>
<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  Index m_begin;</div>
<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <span class="keyword">public</span>:</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 ReverseInnerIterator(<span class="keyword">const</span> BlockType& block, Index outer)</div>
<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  : Base(block.derived().nestedExpression(), outer + (IsRowMajor ? block.m_startRow.value() : block.m_startCol.value())),</div>
<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  m_block(block),</div>
<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  m_begin(IsRowMajor ? block.m_startCol.value() : block.m_startRow.value())</div>
<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  {</div>
<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <span class="keywordflow">while</span>( (Base::operator <span class="keywordtype">bool</span>()) && (Base::index() >= (IsRowMajor ? m_block.m_startCol.value()+block.m_blockCols.value() : m_block.m_startRow.value()+block.m_blockRows.value())) )</div>
<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  Base::operator--();</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">inline</span> Index index()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> Base::index() - (IsRowMajor ? m_block.m_startCol.value() : m_block.m_startRow.value()); }</div>
<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <span class="keyword">inline</span> Index outer()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> Base::outer() - (IsRowMajor ? m_block.m_startRow.value() : m_block.m_startCol.value()); }</div>
<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <span class="keyword">inline</span> Index row()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> Base::row() - m_block.m_startRow.value(); }</div>
<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="keyword">inline</span> Index col()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> Base::col() - m_block.m_startCol.value(); }</div>
<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  </div>
<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <span class="keyword">inline</span> <span class="keyword">operator</span> bool()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> Base::operator bool() && Base::index() >= m_begin; }</div>
<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  };</div>
<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <span class="keyword">friend</span> <span class="keyword">class </span>InnerIterator;</div>
<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keyword">friend</span> <span class="keyword">class </span>ReverseInnerIterator;</div>
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span> </div>
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="keyword">typename</span> XprType::Nested m_matrix;</div>
<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <span class="keyword">const</span> internal::variable_if_dynamic<Index, XprType::RowsAtCompileTime == 1 ? 0 : Dynamic> m_startRow;</div>
<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <span class="keyword">const</span> internal::variable_if_dynamic<Index, XprType::ColsAtCompileTime == 1 ? 0 : Dynamic> m_startCol;</div>
<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  <span class="keyword">const</span> internal::variable_if_dynamic<Index, RowsAtCompileTime> m_blockRows;</div>
<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="keyword">const</span> internal::variable_if_dynamic<Index, ColsAtCompileTime> m_blockCols;</div>
<div class="line"><a name="l00400"></a><span class="lineno"> 400</span> </div>
<div class="line"><a name="l00401"></a><span class="lineno"> 401</span> };</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="comment">// end namespace Eigen</span></div>
<div class="line"><a name="l00404"></a><span class="lineno"> 404</span> </div>
<div class="line"><a name="l00405"></a><span class="lineno"> 405</span> <span class="preprocessor">#endif // EIGEN_SPARSE_BLOCK_H</span></div>
<div class="ttc" id="classEigen_1_1BlockImpl_3_01XprType_00_01BlockRows_00_01BlockCols_00_01InnerPanel_00_01Sparse_01_4_html_ac7ddc1c596ed1b16486149b770b3e920"><div class="ttname"><a href="classEigen_1_1BlockImpl_3_01XprType_00_01BlockRows_00_01BlockCols_00_01InnerPanel_00_01Sparse_01_4.html#ac7ddc1c596ed1b16486149b770b3e920">Eigen::BlockImpl< XprType, BlockRows, BlockCols, InnerPanel, Sparse >::BlockImpl</a></div><div class="ttdeci">BlockImpl(const XprType &xpr, int startRow, int startCol, int blockRows, int blockCols)</div><div class="ttdef"><b>Definition:</b> SparseBlock.h:311</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrixBase_html"><div class="ttname"><a href="classEigen_1_1SparseMatrixBase.html">Eigen::SparseMatrixBase</a></div><div class="ttdoc">Base class of any sparse matrices or sparse expressions. </div><div class="ttdef"><b>Definition:</b> SparseMatrixBase.h:26</div></div>
<div class="ttc" id="structEigen_1_1Sparse_html"><div class="ttname"><a href="structEigen_1_1Sparse.html">Eigen::Sparse</a></div><div class="ttdef"><b>Definition:</b> SparseCore:32</div></div>
<div class="ttc" id="classEigen_1_1Block_html"><div class="ttname"><a href="classEigen_1_1Block.html">Eigen::Block</a></div><div class="ttdoc">Expression of a fixed-size or dynamic-size block. </div><div class="ttdef"><b>Definition:</b> Block.h:102</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrixBase_html_a3523b025393c0f1338b3f2fc0565c32b"><div class="ttname"><a href="classEigen_1_1SparseMatrixBase.html#a3523b025393c0f1338b3f2fc0565c32b">Eigen::SparseMatrixBase::innerVectors</a></div><div class="ttdeci">Block< Derived, Dynamic, Dynamic, true > innerVectors(Index outerStart, Index outerSize)</div><div class="ttdef"><b>Definition:</b> SparseBlock.h:266</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrixBase_html_a82e85a82828faf64db942b76d0cab923"><div class="ttname"><a href="classEigen_1_1SparseMatrixBase.html#a82e85a82828faf64db942b76d0cab923">Eigen::SparseMatrixBase::innerVector</a></div><div class="ttdeci">InnerVectorReturnType innerVector(Index outer)</div><div class="ttdef"><b>Definition:</b> SparseBlock.h:252</div></div>
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