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<div class="title">BlockOfDynamicSparseMatrix.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_BLOCKFORDYNAMICMATRIX_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_BLOCKFORDYNAMICMATRIX_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="preprocessor">#if 0</span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor"></span></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment">// NOTE Have to be reimplemented as a specialization of BlockImpl< DynamicSparseMatrix<_Scalar, _Options, _Index>, ... ></span></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment">// See SparseBlock.h for an example</span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> </div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment">/***************************************************************************</span></div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment">* specialisation for DynamicSparseMatrix</span></div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment">***************************************************************************/</span></div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> </div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="keyword">template</span><<span class="keyword">typename</span> _Scalar, <span class="keywordtype">int</span> _Options, <span class="keyword">typename</span> _Index, <span class="keywordtype">int</span> Size></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="keyword">class </span>SparseInnerVectorSet<DynamicSparseMatrix<_Scalar, _Options, _Index>, Size></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  : <span class="keyword">public</span> SparseMatrixBase<SparseInnerVectorSet<DynamicSparseMatrix<_Scalar, _Options, _Index>, Size> ></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> {</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keyword">typedef</span> DynamicSparseMatrix<_Scalar, _Options, _Index> MatrixType;</div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keyword">enum</span> { IsRowMajor = internal::traits<SparseInnerVectorSet>::IsRowMajor };</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  EIGEN_SPARSE_PUBLIC_INTERFACE(SparseInnerVectorSet)</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  class InnerIterator: public MatrixType::InnerIterator</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  {</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keyword">inline</span> InnerIterator(<span class="keyword">const</span> SparseInnerVectorSet& xpr, Index outer)</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  : MatrixType::InnerIterator(xpr.m_matrix, xpr.m_outerStart + outer), m_outer(outer)</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  {}</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</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="l00042"></a><span class="lineno"> 42</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="l00043"></a><span class="lineno"> 43</span>  <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  Index m_outer;</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  };</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keyword">inline</span> SparseInnerVectorSet(<span class="keyword">const</span> MatrixType& matrix, Index outerStart, Index outerSize)</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  : m_matrix(matrix), m_outerStart(outerStart), m_outerSize(outerSize)</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  {</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  eigen_assert( (outerStart>=0) && ((outerStart+outerSize)<=matrix.outerSize()) );</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> SparseInnerVectorSet(<span class="keyword">const</span> MatrixType& matrix, Index outer)</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  : m_matrix(matrix), m_outerStart(outer), m_outerSize(Size)</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>  eigen_assert(Size!=Dynamic);</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  eigen_assert( (outer>=0) && (outer<matrix.outerSize()) );</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  }</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keyword">template</span><<span class="keyword">typename</span> OtherDerived></div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keyword">inline</span> SparseInnerVectorSet& operator=(<span class="keyword">const</span> SparseMatrixBase<OtherDerived>& other)</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  {</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordflow">if</span> (IsRowMajor != ((OtherDerived::Flags&RowMajorBit)==RowMajorBit))</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  {</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="comment">// need to transpose => perform a block evaluation followed by a big swap</span></div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  DynamicSparseMatrix<Scalar,IsRowMajor?RowMajorBit:0> aux(other);</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  *<span class="keyword">this</span> = aux.markAsRValue();</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  }</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">else</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>  <span class="comment">// evaluate/copy vector per vector</span></div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordflow">for</span> (Index j=0; j<m_outerSize.value(); ++j)</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  {</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  SparseVector<Scalar,IsRowMajor ? RowMajorBit : 0> aux(other.innerVector(j));</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  m_matrix.const_cast_derived()._data()[m_outerStart+j].swap(aux._data());</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  }</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  }</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</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> </div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keyword">inline</span> SparseInnerVectorSet& operator=(<span class="keyword">const</span> SparseInnerVectorSet& other)</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="keywordflow">return</span> <span class="keyword">operator</span>=<SparseInnerVectorSet>(other);</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  }</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  Index nonZeros()<span class="keyword"> const</span></div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  Index count = 0;</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">for</span> (Index j=0; j<m_outerSize.value(); ++j)</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  count += m_matrix._data()[m_outerStart+j].size();</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keywordflow">return</span> count;</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  }</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keyword">const</span> Scalar& lastCoeff()<span class="keyword"> const</span></div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  EIGEN_STATIC_ASSERT_VECTOR_ONLY(SparseInnerVectorSet);</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  eigen_assert(m_matrix.data()[m_outerStart].size()>0);</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordflow">return</span> m_matrix.data()[m_outerStart].vale(m_matrix.data()[m_outerStart].size()-1);</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  }</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="comment">// template<typename Sparse></span></div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="comment">// inline SparseInnerVectorSet& operator=(const SparseMatrixBase<OtherDerived>& other)</span></div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="comment">// {</span></div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="comment">// return *this;</span></div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="comment">// }</span></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>  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="l00108"></a><span class="lineno"> 108</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="l00109"></a><span class="lineno"> 109</span> </div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keyword">protected</span>:</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>  <span class="keyword">const</span> <span class="keyword">typename</span> MatrixType::Nested m_matrix;</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  Index m_outerStart;</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keyword">const</span> internal::variable_if_dynamic<Index, Size> m_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> </div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="preprocessor"></span></div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span> } <span class="comment">// end namespace Eigen</span></div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span> </div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span> <span class="preprocessor">#endif // EIGEN_SPARSE_BLOCKFORDYNAMICMATRIX_H</span></div>
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