<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
<meta http-equiv="X-UA-Compatible" content="IE=9"/>
<meta name="generator" content="Doxygen 1.8.5"/>
<title>Eigen: SparseMatrix.h Source File</title>
<link href="tabs.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="jquery.js"></script>
<script type="text/javascript" src="dynsections.js"></script>
<link href="navtree.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="resize.js"></script>
<script type="text/javascript" src="navtree.js"></script>
<script type="text/javascript">
$(document).ready(initResizable);
$(window).load(resizeHeight);
</script>
<link href="search/search.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="search/search.js"></script>
<script type="text/javascript">
$(document).ready(function() { searchBox.OnSelectItem(0); });
</script>
<link href="doxygen.css" rel="stylesheet" type="text/css" />
<link href="eigendoxy.css" rel="stylesheet" type="text/css">
<!-- -->
<script type="text/javascript" src="eigen_navtree_hacks.js"></script>
<!-- <script type="text/javascript"> -->
<!-- </script> -->
</head>
<body>
<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
<!-- <a name="top"></a> -->
<div id="titlearea">
<table cellspacing="0" cellpadding="0">
<tbody>
<tr style="height: 56px;">
<td id="projectlogo"><img alt="Logo" src="Eigen_Silly_Professor_64x64.png"/></td>
<td style="padding-left: 0.5em;">
<div id="projectname"><a href="http://eigen.tuxfamily.org">Eigen</a>
 <span id="projectnumber">3.2.0</span>
</div>
</td>
<td> <div id="MSearchBox" class="MSearchBoxInactive">
<span class="left">
<img id="MSearchSelect" src="search/mag_sel.png"
onmouseover="return searchBox.OnSearchSelectShow()"
onmouseout="return searchBox.OnSearchSelectHide()"
alt=""/>
<input type="text" id="MSearchField" value="Search" accesskey="S"
onfocus="searchBox.OnSearchFieldFocus(true)"
onblur="searchBox.OnSearchFieldFocus(false)"
onkeyup="searchBox.OnSearchFieldChange(event)"/>
</span><span class="right">
<a id="MSearchClose" href="javascript:searchBox.CloseResultsWindow()"><img id="MSearchCloseImg" border="0" src="search/close.png" alt=""/></a>
</span>
</div>
</td>
</tr>
</tbody>
</table>
</div>
<!-- end header part -->
<!-- Generated by Doxygen 1.8.5 -->
<script type="text/javascript">
var searchBox = new SearchBox("searchBox", "search",false,'Search');
</script>
</div><!-- top -->
<div id="side-nav" class="ui-resizable side-nav-resizable">
<div id="nav-tree">
<div id="nav-tree-contents">
<div id="nav-sync" class="sync"></div>
</div>
</div>
<div id="splitbar" style="-moz-user-select:none;"
class="ui-resizable-handle">
</div>
</div>
<script type="text/javascript">
$(document).ready(function(){initNavTree('SparseMatrix_8h_source.html','');});
</script>
<div id="doc-content">
<!-- window showing the filter options -->
<div id="MSearchSelectWindow"
onmouseover="return searchBox.OnSearchSelectShow()"
onmouseout="return searchBox.OnSearchSelectHide()"
onkeydown="return searchBox.OnSearchSelectKey(event)">
<a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(0)"><span class="SelectionMark"> </span>All</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(1)"><span class="SelectionMark"> </span>Classes</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(2)"><span class="SelectionMark"> </span>Namespaces</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(3)"><span class="SelectionMark"> </span>Functions</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(4)"><span class="SelectionMark"> </span>Variables</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(5)"><span class="SelectionMark"> </span>Typedefs</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(6)"><span class="SelectionMark"> </span>Enumerations</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(7)"><span class="SelectionMark"> </span>Enumerator</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(8)"><span class="SelectionMark"> </span>Friends</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(9)"><span class="SelectionMark"> </span>Groups</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(10)"><span class="SelectionMark"> </span>Pages</a></div>
<!-- iframe showing the search results (closed by default) -->
<div id="MSearchResultsWindow">
<iframe src="javascript:void(0)" frameborder="0"
name="MSearchResults" id="MSearchResults">
</iframe>
</div>
<div class="header">
<div class="headertitle">
<div class="title">SparseMatrix.h</div> </div>
</div><!--header-->
<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) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr></span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment">//</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment">// This Source Code Form is subject to the terms of the Mozilla</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment">// Public License v. 2.0. If a copy of the MPL was not distributed</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment">// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#ifndef EIGEN_SPARSEMATRIX_H</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor"></span><span class="preprocessor">#define EIGEN_SPARSEMATRIX_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="l00041"></a><span class="lineno"> 41</span> <span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="keyword">template</span><<span class="keyword">typename</span> _Scalar, <span class="keywordtype">int</span> _Options, <span class="keyword">typename</span> _Index></div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="keyword">struct </span>traits<SparseMatrix<_Scalar, _Options, _Index> ></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">typedef</span> _Scalar Scalar;</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keyword">typedef</span> _Index Index;</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keyword">typedef</span> Sparse StorageKind;</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keyword">typedef</span> MatrixXpr XprKind;</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  RowsAtCompileTime = <a class="code" href="namespaceEigen.html#adc9da5be31bdce40c25a92c27999c0e3">Dynamic</a>,</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  ColsAtCompileTime = <a class="code" href="namespaceEigen.html#adc9da5be31bdce40c25a92c27999c0e3">Dynamic</a>,</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  MaxRowsAtCompileTime = <a class="code" href="namespaceEigen.html#adc9da5be31bdce40c25a92c27999c0e3">Dynamic</a>,</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  MaxColsAtCompileTime = <a class="code" href="namespaceEigen.html#adc9da5be31bdce40c25a92c27999c0e3">Dynamic</a>,</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  Flags = _Options | NestByRefBit | <a class="code" href="group__flags.html#ga64e21b7543bdedce27f013512a4403a3">LvalueBit</a>,</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  CoeffReadCost = NumTraits<Scalar>::ReadCost,</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  SupportedAccessPatterns = InnerRandomAccessPattern</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  };</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span> };</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> _Scalar, <span class="keywordtype">int</span> _Options, <span class="keyword">typename</span> _Index, <span class="keywordtype">int</span> DiagIndex></div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="keyword">struct </span>traits<Diagonal<const SparseMatrix<_Scalar, _Options, _Index>, DiagIndex> ></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="keyword">typedef</span> SparseMatrix<_Scalar, _Options, _Index> MatrixType;</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> nested<MatrixType>::type MatrixTypeNested;</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> remove_reference<MatrixTypeNested>::type _MatrixTypeNested;</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keyword">typedef</span> _Scalar Scalar;</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keyword">typedef</span> Dense StorageKind;</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keyword">typedef</span> _Index Index;</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keyword">typedef</span> MatrixXpr XprKind;</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  RowsAtCompileTime = <a class="code" href="namespaceEigen.html#adc9da5be31bdce40c25a92c27999c0e3">Dynamic</a>,</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  ColsAtCompileTime = 1,</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  MaxRowsAtCompileTime = <a class="code" href="namespaceEigen.html#adc9da5be31bdce40c25a92c27999c0e3">Dynamic</a>,</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  MaxColsAtCompileTime = 1,</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  Flags = 0,</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  CoeffReadCost = _MatrixTypeNested::CoeffReadCost*10</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> </div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span> } <span class="comment">// end namespace internal</span></div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span> </div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="keyword">template</span><<span class="keyword">typename</span> _Scalar, <span class="keywordtype">int</span> _Options, <span class="keyword">typename</span> _Index></div>
<div class="line"><a name="l00085"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html"> 85</a></span> <span class="keyword">class </span><a class="code" href="classEigen_1_1SparseMatrix.html">SparseMatrix</a></div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  : <span class="keyword">public</span> <a class="code" href="classEigen_1_1SparseMatrixBase.html">SparseMatrixBase</a><SparseMatrix<_Scalar, _Options, _Index> ></div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span> {</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>  EIGEN_SPARSE_PUBLIC_INTERFACE(<a class="code" href="classEigen_1_1SparseMatrix.html">SparseMatrix</a>)</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(<a class="code" href="classEigen_1_1SparseMatrix.html">SparseMatrix</a>, +=)</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(<a class="code" href="classEigen_1_1SparseMatrix.html">SparseMatrix</a>, -=)</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>  <span class="keyword">typedef</span> <a class="code" href="classEigen_1_1MappedSparseMatrix.html">MappedSparseMatrix<Scalar,Flags></a> <a class="code" href="classEigen_1_1MappedSparseMatrix.html">Map</a>;</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keyword">using</span> Base::IsRowMajor;</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keyword">typedef</span> internal::CompressedStorage<Scalar,Index> Storage;</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  Options = _Options</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  };</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keyword">protected</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="keyword">typedef</span> <a class="code" href="classEigen_1_1SparseMatrix.html">SparseMatrix<Scalar,(Flags&~RowMajorBit)|(IsRowMajor?RowMajorBit:0)></a> <a class="code" href="classEigen_1_1SparseMatrix.html">TransposedSparseMatrix</a>;</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span> </div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  Index m_outerSize;</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  Index m_innerSize;</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  Index* m_outerIndex;</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  Index* m_innerNonZeros; <span class="comment">// optional, if null then the data is compressed</span></div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  Storage m_data;</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>  <a class="code" href="classEigen_1_1Map.html">Eigen::Map<Matrix<Index,Dynamic,1></a> > innerNonZeros() { <span class="keywordflow">return</span> <a class="code" href="classEigen_1_1Map.html">Eigen::Map<Matrix<Index,Dynamic,1></a> >(m_innerNonZeros, m_innerNonZeros?m_outerSize:0); }</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keyword">const</span> <a class="code" href="classEigen_1_1Map.html">Eigen::Map<const Matrix<Index,Dynamic,1></a> > innerNonZeros()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classEigen_1_1Map.html">Eigen::Map<const Matrix<Index,Dynamic,1></a> >(m_innerNonZeros, m_innerNonZeros?m_outerSize:0); }</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">public</span>:</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  </div>
<div class="line"><a name="l00116"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#a4549e80dac9fd4f4c9ecee00814ecaa5"> 116</a></span>  <span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="classEigen_1_1SparseMatrix.html#a4549e80dac9fd4f4c9ecee00814ecaa5">isCompressed</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_innerNonZeros==0; }</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span> </div>
<div class="line"><a name="l00119"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#a5552abd83dbd03c85cea6d61fd8875a5"> 119</a></span>  <span class="keyword">inline</span> Index <a class="code" href="classEigen_1_1SparseMatrix.html#a5552abd83dbd03c85cea6d61fd8875a5">rows</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> IsRowMajor ? m_outerSize : m_innerSize; }</div>
<div class="line"><a name="l00121"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#aaca1908a5ec508a25ff0a8bca803e5f3"> 121</a></span>  <span class="keyword">inline</span> Index <a class="code" href="classEigen_1_1SparseMatrix.html#aaca1908a5ec508a25ff0a8bca803e5f3">cols</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> IsRowMajor ? m_innerSize : m_outerSize; }</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div>
<div class="line"><a name="l00124"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#acd9791e1914ad8761992e16032d49c54"> 124</a></span>  <span class="keyword">inline</span> Index <a class="code" href="classEigen_1_1SparseMatrix.html#acd9791e1914ad8761992e16032d49c54">innerSize</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_innerSize; }</div>
<div class="line"><a name="l00126"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#af080d3d3f82e0d4391f19af22a5eedb8"> 126</a></span>  <span class="keyword">inline</span> Index <a class="code" href="classEigen_1_1SparseMatrix.html#af080d3d3f82e0d4391f19af22a5eedb8">outerSize</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_outerSize; }</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  </div>
<div class="line"><a name="l00131"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#aa44fe8c6de1533193f303ab7c4d43692"> 131</a></span>  <span class="keyword">inline</span> <span class="keyword">const</span> Scalar* <a class="code" href="classEigen_1_1SparseMatrix.html#aa44fe8c6de1533193f303ab7c4d43692">valuePtr</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> &m_data.value(0); }</div>
<div class="line"><a name="l00135"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#a68fdb1898144415299720626410f021d"> 135</a></span>  <span class="keyword">inline</span> Scalar* <a class="code" href="classEigen_1_1SparseMatrix.html#a68fdb1898144415299720626410f021d">valuePtr</a>() { <span class="keywordflow">return</span> &m_data.value(0); }</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span> </div>
<div class="line"><a name="l00140"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#a828e04dedd8347ad1c463817b2e5dbed"> 140</a></span>  <span class="keyword">inline</span> <span class="keyword">const</span> Index* <a class="code" href="classEigen_1_1SparseMatrix.html#a828e04dedd8347ad1c463817b2e5dbed">innerIndexPtr</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> &m_data.index(0); }</div>
<div class="line"><a name="l00144"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#ac5204064425a0d6c87688ed48dd1d745"> 144</a></span>  <span class="keyword">inline</span> Index* <a class="code" href="classEigen_1_1SparseMatrix.html#ac5204064425a0d6c87688ed48dd1d745">innerIndexPtr</a>() { <span class="keywordflow">return</span> &m_data.index(0); }</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div>
<div class="line"><a name="l00149"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#a4cbbda70dd9a9a925d749e4258fecb5b"> 149</a></span>  <span class="keyword">inline</span> <span class="keyword">const</span> Index* <a class="code" href="classEigen_1_1SparseMatrix.html#a4cbbda70dd9a9a925d749e4258fecb5b">outerIndexPtr</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_outerIndex; }</div>
<div class="line"><a name="l00153"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#aa6555eda454250b6cc9cd42e1ba137a1"> 153</a></span>  <span class="keyword">inline</span> Index* <a class="code" href="classEigen_1_1SparseMatrix.html#aa6555eda454250b6cc9cd42e1ba137a1">outerIndexPtr</a>() { <span class="keywordflow">return</span> m_outerIndex; }</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span> </div>
<div class="line"><a name="l00158"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#a2ae4fbae821c9f97e0710f5cb3b73c91"> 158</a></span>  <span class="keyword">inline</span> <span class="keyword">const</span> Index* <a class="code" href="classEigen_1_1SparseMatrix.html#a2ae4fbae821c9f97e0710f5cb3b73c91">innerNonZeroPtr</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_innerNonZeros; }</div>
<div class="line"><a name="l00162"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#a5e623b88f053da805a943ddbfd8c90a4"> 162</a></span>  <span class="keyword">inline</span> Index* <a class="code" href="classEigen_1_1SparseMatrix.html#a5e623b88f053da805a943ddbfd8c90a4">innerNonZeroPtr</a>() { <span class="keywordflow">return</span> m_innerNonZeros; }</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span> </div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keyword">inline</span> Storage& data() { <span class="keywordflow">return</span> m_data; }</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keyword">inline</span> <span class="keyword">const</span> Storage& data()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_data; }</div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span> </div>
<div class="line"><a name="l00171"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#afacbe8d905dd8b00eb52e72c2e938aed"> 171</a></span>  <span class="keyword">inline</span> Scalar <a class="code" href="classEigen_1_1SparseMatrix.html#afacbe8d905dd8b00eb52e72c2e938aed">coeff</a>(Index <a class="code" href="classEigen_1_1SparseMatrixBase.html#aa8716d44f51321072ee5c88665c28813">row</a>, Index <a class="code" href="classEigen_1_1SparseMatrixBase.html#a58c77695de3b33405f01f2fdf3dc389d">col</a>)<span class="keyword"> const</span></div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  eigen_assert(row>=0 && row<<a class="code" href="classEigen_1_1SparseMatrix.html#a5552abd83dbd03c85cea6d61fd8875a5">rows</a>() && col>=0 && col<<a class="code" href="classEigen_1_1SparseMatrix.html#aaca1908a5ec508a25ff0a8bca803e5f3">cols</a>());</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  </div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keyword">const</span> Index outer = IsRowMajor ? row : <a class="code" href="classEigen_1_1SparseMatrixBase.html#a58c77695de3b33405f01f2fdf3dc389d">col</a>;</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keyword">const</span> Index inner = IsRowMajor ? col : <a class="code" href="classEigen_1_1SparseMatrixBase.html#aa8716d44f51321072ee5c88665c28813">row</a>;</div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  Index end = m_innerNonZeros ? m_outerIndex[outer] + m_innerNonZeros[outer] : m_outerIndex[outer+1];</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keywordflow">return</span> m_data.atInRange(m_outerIndex[outer], end, inner);</div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  }</div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span> </div>
<div class="line"><a name="l00189"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#a4386da578a119f7b500d0b22cab2de0e"> 189</a></span>  <span class="keyword">inline</span> Scalar& <a class="code" href="classEigen_1_1SparseMatrix.html#a4386da578a119f7b500d0b22cab2de0e">coeffRef</a>(Index <a class="code" href="classEigen_1_1SparseMatrixBase.html#aa8716d44f51321072ee5c88665c28813">row</a>, Index <a class="code" href="classEigen_1_1SparseMatrixBase.html#a58c77695de3b33405f01f2fdf3dc389d">col</a>)</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>  eigen_assert(row>=0 && row<<a class="code" href="classEigen_1_1SparseMatrix.html#a5552abd83dbd03c85cea6d61fd8875a5">rows</a>() && col>=0 && col<<a class="code" href="classEigen_1_1SparseMatrix.html#aaca1908a5ec508a25ff0a8bca803e5f3">cols</a>());</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>  <span class="keyword">const</span> Index outer = IsRowMajor ? row : <a class="code" href="classEigen_1_1SparseMatrixBase.html#a58c77695de3b33405f01f2fdf3dc389d">col</a>;</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="keyword">const</span> Index inner = IsRowMajor ? col : <a class="code" href="classEigen_1_1SparseMatrixBase.html#aa8716d44f51321072ee5c88665c28813">row</a>;</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>  Index start = m_outerIndex[outer];</div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  Index end = m_innerNonZeros ? m_outerIndex[outer] + m_innerNonZeros[outer] : m_outerIndex[outer+1];</div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  eigen_assert(end>=start && <span class="stringliteral">"you probably called coeffRef on a non finalized matrix"</span>);</div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keywordflow">if</span>(end<=start)</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keywordflow">return</span> <a class="code" href="classEigen_1_1SparseMatrix.html#a1cbf43137ff55b8164ec8fc5e4da9deb">insert</a>(row,col);</div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keyword">const</span> Index p = m_data.searchLowerIndex(start,end-1,inner);</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keywordflow">if</span>((p<end) && (m_data.index(p)==inner))</div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keywordflow">return</span> m_data.value(p);</div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keywordflow">return</span> <a class="code" href="classEigen_1_1SparseMatrix.html#a1cbf43137ff55b8164ec8fc5e4da9deb">insert</a>(row,col);</div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  }</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span> </div>
<div class="line"><a name="l00220"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#a1cbf43137ff55b8164ec8fc5e4da9deb"> 220</a></span>  Scalar& <a class="code" href="classEigen_1_1SparseMatrix.html#a1cbf43137ff55b8164ec8fc5e4da9deb">insert</a>(Index <a class="code" href="classEigen_1_1SparseMatrixBase.html#aa8716d44f51321072ee5c88665c28813">row</a>, Index <a class="code" href="classEigen_1_1SparseMatrixBase.html#a58c77695de3b33405f01f2fdf3dc389d">col</a>)</div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  {</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  eigen_assert(row>=0 && row<<a class="code" href="classEigen_1_1SparseMatrix.html#a5552abd83dbd03c85cea6d61fd8875a5">rows</a>() && col>=0 && col<<a class="code" href="classEigen_1_1SparseMatrix.html#aaca1908a5ec508a25ff0a8bca803e5f3">cols</a>());</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="keywordflow">if</span>(<a class="code" href="classEigen_1_1SparseMatrix.html#a4549e80dac9fd4f4c9ecee00814ecaa5">isCompressed</a>())</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>  <a class="code" href="classEigen_1_1SparseMatrix.html#a5dc6018e77e65abd29416138c6bd67d4">reserve</a>(VectorXi::Constant(<a class="code" href="classEigen_1_1SparseMatrix.html#af080d3d3f82e0d4391f19af22a5eedb8">outerSize</a>(), 2));</div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  }</div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keywordflow">return</span> insertUncompressed(row,col);</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> </div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span> </div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keyword">class </span>InnerIterator;</div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keyword">class </span>ReverseInnerIterator;</div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span> </div>
<div class="line"><a name="l00237"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#a47affd1a10b589811fc4828c1a2e0c6d"> 237</a></span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1SparseMatrix.html#a47affd1a10b589811fc4828c1a2e0c6d">setZero</a>()</div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  {</div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  m_data.clear();</div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  memset(m_outerIndex, 0, (m_outerSize+1)*<span class="keyword">sizeof</span>(Index));</div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keywordflow">if</span>(m_innerNonZeros)</div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  memset(m_innerNonZeros, 0, (m_outerSize)*<span class="keyword">sizeof</span>(Index));</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="l00246"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#abe29bfb5f2d88cf2a50ffb577ec6f0a4"> 246</a></span>  <span class="keyword">inline</span> Index <a class="code" href="classEigen_1_1SparseMatrix.html#abe29bfb5f2d88cf2a50ffb577ec6f0a4">nonZeros</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keywordflow">if</span>(m_innerNonZeros)</div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keywordflow">return</span> innerNonZeros().sum();</div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keywordflow">return</span> <span class="keyword">static_cast<</span>Index<span class="keyword">></span>(m_data.size());</div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  }</div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span> </div>
<div class="line"><a name="l00256"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#a5dc6018e77e65abd29416138c6bd67d4"> 256</a></span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1SparseMatrix.html#a5dc6018e77e65abd29416138c6bd67d4">reserve</a>(Index reserveSize)</div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  {</div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  eigen_assert(<a class="code" href="classEigen_1_1SparseMatrix.html#a4549e80dac9fd4f4c9ecee00814ecaa5">isCompressed</a>() && <span class="stringliteral">"This function does not make sense in non compressed mode."</span>);</div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  m_data.reserve(reserveSize);</div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  }</div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  </div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span> <span class="preprocessor"> #ifdef EIGEN_PARSED_BY_DOXYGEN</span></div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span> <span class="preprocessor"></span></div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keyword">template</span><<span class="keyword">class</span> SizesType></div>
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1SparseMatrix.html#a5dc6018e77e65abd29416138c6bd67d4">reserve</a>(<span class="keyword">const</span> SizesType& reserveSizes);</div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span> <span class="preprocessor"> #else</span></div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span> <span class="preprocessor"></span> <span class="keyword">template</span><<span class="keyword">class</span> SizesType></div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1SparseMatrix.html#a5dc6018e77e65abd29416138c6bd67d4">reserve</a>(<span class="keyword">const</span> SizesType& reserveSizes, <span class="keyword">const</span> <span class="keyword">typename</span> SizesType::value_type& enableif = <span class="keyword">typename</span> SizesType::value_type())</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>  EIGEN_UNUSED_VARIABLE(enableif);</div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  reserveInnerVectors(reserveSizes);</div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  }</div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keyword">template</span><<span class="keyword">class</span> SizesType></div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1SparseMatrix.html#a5dc6018e77e65abd29416138c6bd67d4">reserve</a>(<span class="keyword">const</span> SizesType& reserveSizes, <span class="keyword">const</span> <span class="keyword">typename</span> SizesType::Scalar& enableif =</div>
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  #<span class="keywordflow">if</span> (!defined(_MSC_VER)) || (_MSC_VER>=1500) <span class="comment">// MSVC 2005 fails to compile with this typename</span></div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keyword">typename</span></div>
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  #endif</div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  SizesType::Scalar())</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>  EIGEN_UNUSED_VARIABLE(enableif);</div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  reserveInnerVectors(reserveSizes);</div>
<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  }</div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span> <span class="preprocessor"> #endif // EIGEN_PARSED_BY_DOXYGEN</span></div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span> <span class="preprocessor"></span> <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="keyword">template</span><<span class="keyword">class</span> SizesType></div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> reserveInnerVectors(<span class="keyword">const</span> SizesType& reserveSizes)</div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  {</div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keywordflow">if</span>(<a class="code" href="classEigen_1_1SparseMatrix.html#a4549e80dac9fd4f4c9ecee00814ecaa5">isCompressed</a>())</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>  std::size_t totalReserveSize = 0;</div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="comment">// turn the matrix into non-compressed mode</span></div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  m_innerNonZeros = <span class="keyword">static_cast<</span>Index*<span class="keyword">></span>(std::malloc(m_outerSize * <span class="keyword">sizeof</span>(Index)));</div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="keywordflow">if</span> (!m_innerNonZeros) internal::throw_std_bad_alloc();</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="comment">// temporarily use m_innerSizes to hold the new starting points.</span></div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  Index* newOuterIndex = m_innerNonZeros;</div>
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  </div>
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  Index count = 0;</div>
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keywordflow">for</span>(Index j=0; j<m_outerSize; ++j)</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>  newOuterIndex[j] = count;</div>
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  count += reserveSizes[j] + (m_outerIndex[j+1]-m_outerIndex[j]);</div>
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  totalReserveSize += reserveSizes[j];</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>  m_data.reserve(totalReserveSize);</div>
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  Index previousOuterIndex = m_outerIndex[m_outerSize];</div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keywordflow">for</span>(Index j=m_outerSize-1; j>=0; --j)</div>
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  {</div>
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  Index innerNNZ = previousOuterIndex - m_outerIndex[j];</div>
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="keywordflow">for</span>(Index i=innerNNZ-1; i>=0; --i)</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>  m_data.index(newOuterIndex[j]+i) = m_data.index(m_outerIndex[j]+i);</div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  m_data.value(newOuterIndex[j]+i) = m_data.value(m_outerIndex[j]+i);</div>
<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  }</div>
<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  previousOuterIndex = m_outerIndex[j];</div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  m_outerIndex[j] = newOuterIndex[j];</div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  m_innerNonZeros[j] = innerNNZ;</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>  m_outerIndex[m_outerSize] = m_outerIndex[m_outerSize-1] + m_innerNonZeros[m_outerSize-1] + reserveSizes[m_outerSize-1];</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>  m_data.resize(m_outerIndex[m_outerSize]);</div>
<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  }</div>
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  {</div>
<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  Index* newOuterIndex = <span class="keyword">static_cast<</span>Index*<span class="keyword">></span>(std::malloc((m_outerSize+1)*<span class="keyword">sizeof</span>(Index)));</div>
<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keywordflow">if</span> (!newOuterIndex) internal::throw_std_bad_alloc();</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>  Index count = 0;</div>
<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keywordflow">for</span>(Index j=0; j<m_outerSize; ++j)</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>  newOuterIndex[j] = count;</div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  Index alreadyReserved = (m_outerIndex[j+1]-m_outerIndex[j]) - m_innerNonZeros[j];</div>
<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  Index toReserve = std::max<Index>(reserveSizes[j], alreadyReserved);</div>
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  count += toReserve + m_innerNonZeros[j];</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>  newOuterIndex[m_outerSize] = count;</div>
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  </div>
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  m_data.resize(count);</div>
<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <span class="keywordflow">for</span>(Index j=m_outerSize-1; j>=0; --j)</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>  Index offset = newOuterIndex[j] - m_outerIndex[j];</div>
<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <span class="keywordflow">if</span>(offset>0)</div>
<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  {</div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  Index innerNNZ = m_innerNonZeros[j];</div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keywordflow">for</span>(Index i=innerNNZ-1; i>=0; --i)</div>
<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  {</div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  m_data.index(newOuterIndex[j]+i) = m_data.index(m_outerIndex[j]+i);</div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  m_data.value(newOuterIndex[j]+i) = m_data.value(m_outerIndex[j]+i);</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>  }</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>  std::swap(m_outerIndex, newOuterIndex);</div>
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  std::free(newOuterIndex);</div>
<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  }</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>  }</div>
<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <span class="keyword">public</span>:</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>  <span class="comment">//--- low level purely coherent filling ---</span></div>
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span> </div>
<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="keyword">inline</span> Scalar& insertBack(Index <a class="code" href="classEigen_1_1SparseMatrixBase.html#aa8716d44f51321072ee5c88665c28813">row</a>, Index <a class="code" href="classEigen_1_1SparseMatrixBase.html#a58c77695de3b33405f01f2fdf3dc389d">col</a>)</div>
<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  {</div>
<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <span class="keywordflow">return</span> insertBackByOuterInner(IsRowMajor?row:col, IsRowMajor?col:row);</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> </div>
<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <span class="keyword">inline</span> Scalar& insertBackByOuterInner(Index outer, Index inner)</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>  eigen_assert(<span class="keywordtype">size_t</span>(m_outerIndex[outer+1]) == m_data.size() && <span class="stringliteral">"Invalid ordered insertion (invalid outer index)"</span>);</div>
<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  eigen_assert( (m_outerIndex[outer+1]-m_outerIndex[outer]==0 || m_data.index(m_data.size()-1)<inner) && <span class="stringliteral">"Invalid ordered insertion (invalid inner index)"</span>);</div>
<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  Index p = m_outerIndex[outer+1];</div>
<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  ++m_outerIndex[outer+1];</div>
<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  m_data.append(0, inner);</div>
<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="keywordflow">return</span> m_data.value(p);</div>
<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  }</div>
<div class="line"><a name="l00390"></a><span class="lineno"> 390</span> </div>
<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keyword">inline</span> Scalar& insertBackByOuterInnerUnordered(Index outer, Index inner)</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>  Index p = m_outerIndex[outer+1];</div>
<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  ++m_outerIndex[outer+1];</div>
<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  m_data.append(0, inner);</div>
<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  <span class="keywordflow">return</span> m_data.value(p);</div>
<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  }</div>
<div class="line"><a name="l00400"></a><span class="lineno"> 400</span> </div>
<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> startVec(Index outer)</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>  eigen_assert(m_outerIndex[outer]==<span class="keywordtype">int</span>(m_data.size()) && <span class="stringliteral">"You must call startVec for each inner vector sequentially"</span>);</div>
<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  eigen_assert(m_outerIndex[outer+1]==0 && <span class="stringliteral">"You must call startVec for each inner vector sequentially"</span>);</div>
<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  m_outerIndex[outer+1] = m_outerIndex[outer];</div>
<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  }</div>
<div class="line"><a name="l00409"></a><span class="lineno"> 409</span> </div>
<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> finalize()</div>
<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  {</div>
<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="keywordflow">if</span>(<a class="code" href="classEigen_1_1SparseMatrix.html#a4549e80dac9fd4f4c9ecee00814ecaa5">isCompressed</a>())</div>
<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  {</div>
<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  Index <a class="code" href="classEigen_1_1SparseMatrixBase.html#a76f5bc8a03ec105ab4be1f2b91b7b5d5">size</a> = <span class="keyword">static_cast<</span>Index<span class="keyword">></span>(m_data.size());</div>
<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  Index i = m_outerSize;</div>
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="comment">// find the last filled column</span></div>
<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="keywordflow">while</span> (i>=0 && m_outerIndex[i]==0)</div>
<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  --i;</div>
<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  ++i;</div>
<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <span class="keywordflow">while</span> (i<=m_outerSize)</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>  m_outerIndex[i] = <a class="code" href="classEigen_1_1SparseMatrixBase.html#a76f5bc8a03ec105ab4be1f2b91b7b5d5">size</a>;</div>
<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  ++i;</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>  }</div>
<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  }</div>
<div class="line"><a name="l00430"></a><span class="lineno"> 430</span> </div>
<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  <span class="comment">//---</span></div>
<div class="line"><a name="l00432"></a><span class="lineno"> 432</span> </div>
<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="keyword">template</span><<span class="keyword">typename</span> InputIterators></div>
<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1SparseMatrix.html#a5bcf3187e372ff7cea1e8f61152ae49b">setFromTriplets</a>(<span class="keyword">const</span> InputIterators& begin, <span class="keyword">const</span> InputIterators& end);</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>  <span class="keywordtype">void</span> sumupDuplicates();</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="comment">//---</span></div>
<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  </div>
<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  Scalar& insertByOuterInner(Index j, Index i)</div>
<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  {</div>
<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <span class="keywordflow">return</span> <a class="code" href="classEigen_1_1SparseMatrix.html#a1cbf43137ff55b8164ec8fc5e4da9deb">insert</a>(IsRowMajor ? j : i, IsRowMajor ? i : j);</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> </div>
<div class="line"><a name="l00449"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#a5daf3de834937aeaa7ebc7f18cea746b"> 449</a></span>  <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1SparseMatrix.html#a5daf3de834937aeaa7ebc7f18cea746b">makeCompressed</a>()</div>
<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  {</div>
<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="keywordflow">if</span>(<a class="code" href="classEigen_1_1SparseMatrix.html#a4549e80dac9fd4f4c9ecee00814ecaa5">isCompressed</a>())</div>
<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <span class="keywordflow">return</span>;</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>  Index oldStart = m_outerIndex[1];</div>
<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  m_outerIndex[1] = m_innerNonZeros[0];</div>
<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <span class="keywordflow">for</span>(Index j=1; j<m_outerSize; ++j)</div>
<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  {</div>
<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  Index nextOldStart = m_outerIndex[j+1];</div>
<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  Index offset = oldStart - m_outerIndex[j];</div>
<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <span class="keywordflow">if</span>(offset>0)</div>
<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  {</div>
<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  <span class="keywordflow">for</span>(Index k=0; k<m_innerNonZeros[j]; ++k)</div>
<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  {</div>
<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  m_data.index(m_outerIndex[j]+k) = m_data.index(oldStart+k);</div>
<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  m_data.value(m_outerIndex[j]+k) = m_data.value(oldStart+k);</div>
<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  }</div>
<div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  }</div>
<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  m_outerIndex[j+1] = m_outerIndex[j] + m_innerNonZeros[j];</div>
<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  oldStart = nextOldStart;</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>  std::free(m_innerNonZeros);</div>
<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  m_innerNonZeros = 0;</div>
<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  m_data.resize(m_outerIndex[m_outerSize]);</div>
<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  m_data.squeeze();</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="l00478"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#a5ef2ab1570917494405e20d95b606684"> 478</a></span>  <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1SparseMatrix.html#a5ef2ab1570917494405e20d95b606684">uncompress</a>()</div>
<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  {</div>
<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <span class="keywordflow">if</span>(m_innerNonZeros != 0)</div>
<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <span class="keywordflow">return</span>; </div>
<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  m_innerNonZeros = <span class="keyword">static_cast<</span>Index*<span class="keyword">></span>(std::malloc(m_outerSize * <span class="keyword">sizeof</span>(Index)));</div>
<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < m_outerSize; i++)</div>
<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  {</div>
<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  m_innerNonZeros[i] = m_outerIndex[i+1] - m_outerIndex[i]; </div>
<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  }</div>
<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  }</div>
<div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  </div>
<div class="line"><a name="l00490"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#aa4592d803de19800d8fb3cb07a5036b6"> 490</a></span>  <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1SparseMatrix.html#aa4592d803de19800d8fb3cb07a5036b6">prune</a>(<span class="keyword">const</span> Scalar& reference, <span class="keyword">const</span> RealScalar& epsilon = <a class="code" href="structEigen_1_1NumTraits.html">NumTraits<RealScalar>::dummy_precision</a>())</div>
<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  {</div>
<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <a class="code" href="classEigen_1_1SparseMatrix.html#aa4592d803de19800d8fb3cb07a5036b6">prune</a>(default_prunning_func(reference,epsilon));</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>  </div>
<div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <span class="keyword">template</span><<span class="keyword">typename</span> KeepFunc></div>
<div class="line"><a name="l00503"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#a2b7d855d3304b9768e51eb8890f69da1"> 503</a></span>  <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1SparseMatrix.html#a2b7d855d3304b9768e51eb8890f69da1">prune</a>(<span class="keyword">const</span> KeepFunc& keep = KeepFunc())</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>  <span class="comment">// TODO optimize the uncompressed mode to avoid moving and allocating the data twice</span></div>
<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <span class="comment">// TODO also implement a unit test</span></div>
<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <a class="code" href="classEigen_1_1SparseMatrix.html#a5daf3de834937aeaa7ebc7f18cea746b">makeCompressed</a>();</div>
<div class="line"><a name="l00508"></a><span class="lineno"> 508</span> </div>
<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  Index k = 0;</div>
<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <span class="keywordflow">for</span>(Index j=0; j<m_outerSize; ++j)</div>
<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  {</div>
<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  Index previousStart = m_outerIndex[j];</div>
<div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  m_outerIndex[j] = k;</div>
<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  Index end = m_outerIndex[j+1];</div>
<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <span class="keywordflow">for</span>(Index i=previousStart; i<end; ++i)</div>
<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  {</div>
<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="keywordflow">if</span>(keep(IsRowMajor?j:m_data.index(i), IsRowMajor?m_data.index(i):j, m_data.value(i)))</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>  m_data.value(k) = m_data.value(i);</div>
<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  m_data.index(k) = m_data.index(i);</div>
<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  ++k;</div>
<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  }</div>
<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  }</div>
<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  }</div>
<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  m_outerIndex[m_outerSize] = k;</div>
<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  m_data.resize(k,0);</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="l00532"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#a85584f416c9e3a843fdafa2ef8dda195"> 532</a></span>  <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1SparseMatrix.html#a85584f416c9e3a843fdafa2ef8dda195">conservativeResize</a>(Index <a class="code" href="classEigen_1_1SparseMatrix.html#a5552abd83dbd03c85cea6d61fd8875a5">rows</a>, Index <a class="code" href="classEigen_1_1SparseMatrix.html#aaca1908a5ec508a25ff0a8bca803e5f3">cols</a>) </div>
<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  {</div>
<div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  <span class="comment">// No change</span></div>
<div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  <span class="keywordflow">if</span> (this-><a class="code" href="classEigen_1_1SparseMatrix.html#a5552abd83dbd03c85cea6d61fd8875a5">rows</a>() == rows && this-><a class="code" href="classEigen_1_1SparseMatrix.html#aaca1908a5ec508a25ff0a8bca803e5f3">cols</a>() == cols) <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  </div>
<div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <span class="comment">// If one dimension is null, then there is nothing to be preserved</span></div>
<div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  <span class="keywordflow">if</span>(rows==0 || cols==0) <span class="keywordflow">return</span> <a class="code" href="classEigen_1_1SparseMatrix.html#ac20f895ce9b73fa7447196855c0d0758">resize</a>(rows,cols);</div>
<div class="line"><a name="l00539"></a><span class="lineno"> 539</span> </div>
<div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  Index innerChange = IsRowMajor ? cols - this-><a class="code" href="classEigen_1_1SparseMatrix.html#aaca1908a5ec508a25ff0a8bca803e5f3">cols</a>() : rows - this-><a class="code" href="classEigen_1_1SparseMatrix.html#a5552abd83dbd03c85cea6d61fd8875a5">rows</a>();</div>
<div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  Index outerChange = IsRowMajor ? rows - this-><a class="code" href="classEigen_1_1SparseMatrix.html#a5552abd83dbd03c85cea6d61fd8875a5">rows</a>() : cols - this-><a class="code" href="classEigen_1_1SparseMatrix.html#aaca1908a5ec508a25ff0a8bca803e5f3">cols</a>();</div>
<div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  Index newInnerSize = IsRowMajor ? cols : <a class="code" href="classEigen_1_1SparseMatrix.html#a5552abd83dbd03c85cea6d61fd8875a5">rows</a>;</div>
<div class="line"><a name="l00543"></a><span class="lineno"> 543</span> </div>
<div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <span class="comment">// Deals with inner non zeros</span></div>
<div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  <span class="keywordflow">if</span> (m_innerNonZeros)</div>
<div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  {</div>
<div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  <span class="comment">// Resize m_innerNonZeros</span></div>
<div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  Index *newInnerNonZeros = <span class="keyword">static_cast<</span>Index*<span class="keyword">></span>(std::realloc(m_innerNonZeros, (m_outerSize + outerChange) * <span class="keyword">sizeof</span>(Index)));</div>
<div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  <span class="keywordflow">if</span> (!newInnerNonZeros) internal::throw_std_bad_alloc();</div>
<div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  m_innerNonZeros = newInnerNonZeros;</div>
<div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  </div>
<div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="keywordflow">for</span>(Index i=m_outerSize; i<m_outerSize+outerChange; i++) </div>
<div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  m_innerNonZeros[i] = 0;</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>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (innerChange < 0) </div>
<div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  {</div>
<div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  <span class="comment">// Inner size decreased: allocate a new m_innerNonZeros</span></div>
<div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  m_innerNonZeros = <span class="keyword">static_cast<</span>Index*<span class="keyword">></span>(std::malloc((m_outerSize+outerChange+1) * <span class="keyword">sizeof</span>(Index)));</div>
<div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  <span class="keywordflow">if</span> (!m_innerNonZeros) internal::throw_std_bad_alloc();</div>
<div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <span class="keywordflow">for</span>(Index i = 0; i < m_outerSize; i++)</div>
<div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  m_innerNonZeros[i] = m_outerIndex[i+1] - m_outerIndex[i];</div>
<div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  }</div>
<div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  </div>
<div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  <span class="comment">// Change the m_innerNonZeros in case of a decrease of inner size</span></div>
<div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  <span class="keywordflow">if</span> (m_innerNonZeros && innerChange < 0)</div>
<div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  {</div>
<div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  <span class="keywordflow">for</span>(Index i = 0; i < m_outerSize + (std::min)(outerChange, Index(0)); i++)</div>
<div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  {</div>
<div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  Index &n = m_innerNonZeros[i];</div>
<div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  Index start = m_outerIndex[i];</div>
<div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  <span class="keywordflow">while</span> (n > 0 && m_data.index(start+n-1) >= newInnerSize) --n; </div>
<div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  }</div>
<div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  }</div>
<div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  </div>
<div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  m_innerSize = newInnerSize;</div>
<div class="line"><a name="l00576"></a><span class="lineno"> 576</span> </div>
<div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <span class="comment">// Re-allocate outer index structure if necessary</span></div>
<div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  <span class="keywordflow">if</span> (outerChange == 0)</div>
<div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  </div>
<div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  Index *newOuterIndex = <span class="keyword">static_cast<</span>Index*<span class="keyword">></span>(std::realloc(m_outerIndex, (m_outerSize + outerChange + 1) * <span class="keyword">sizeof</span>(Index)));</div>
<div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  <span class="keywordflow">if</span> (!newOuterIndex) internal::throw_std_bad_alloc();</div>
<div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  m_outerIndex = newOuterIndex;</div>
<div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  <span class="keywordflow">if</span> (outerChange > 0)</div>
<div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  {</div>
<div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  Index last = m_outerSize == 0 ? 0 : m_outerIndex[m_outerSize];</div>
<div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  <span class="keywordflow">for</span>(Index i=m_outerSize; i<m_outerSize+outerChange+1; i++) </div>
<div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  m_outerIndex[i] = last; </div>
<div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  }</div>
<div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  m_outerSize += outerChange;</div>
<div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  }</div>
<div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  </div>
<div class="line"><a name="l00596"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#ac20f895ce9b73fa7447196855c0d0758"> 596</a></span>  <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1SparseMatrix.html#ac20f895ce9b73fa7447196855c0d0758">resize</a>(Index <a class="code" href="classEigen_1_1SparseMatrix.html#a5552abd83dbd03c85cea6d61fd8875a5">rows</a>, Index <a class="code" href="classEigen_1_1SparseMatrix.html#aaca1908a5ec508a25ff0a8bca803e5f3">cols</a>)</div>
<div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  {</div>
<div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  <span class="keyword">const</span> Index <a class="code" href="classEigen_1_1SparseMatrix.html#af080d3d3f82e0d4391f19af22a5eedb8">outerSize</a> = IsRowMajor ? rows : <a class="code" href="classEigen_1_1SparseMatrix.html#aaca1908a5ec508a25ff0a8bca803e5f3">cols</a>;</div>
<div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  m_innerSize = IsRowMajor ? cols : <a class="code" href="classEigen_1_1SparseMatrix.html#a5552abd83dbd03c85cea6d61fd8875a5">rows</a>;</div>
<div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  m_data.clear();</div>
<div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  <span class="keywordflow">if</span> (m_outerSize != outerSize || m_outerSize==0)</div>
<div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  {</div>
<div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  std::free(m_outerIndex);</div>
<div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  m_outerIndex = <span class="keyword">static_cast<</span>Index*<span class="keyword">></span>(std::malloc((outerSize + 1) * <span class="keyword">sizeof</span>(Index)));</div>
<div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  <span class="keywordflow">if</span> (!m_outerIndex) internal::throw_std_bad_alloc();</div>
<div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  </div>
<div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  m_outerSize = <a class="code" href="classEigen_1_1SparseMatrix.html#af080d3d3f82e0d4391f19af22a5eedb8">outerSize</a>;</div>
<div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  }</div>
<div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  <span class="keywordflow">if</span>(m_innerNonZeros)</div>
<div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  {</div>
<div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  std::free(m_innerNonZeros);</div>
<div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  m_innerNonZeros = 0;</div>
<div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  }</div>
<div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  memset(m_outerIndex, 0, (m_outerSize+1)*<span class="keyword">sizeof</span>(Index));</div>
<div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  }</div>
<div class="line"><a name="l00616"></a><span class="lineno"> 616</span> </div>
<div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  <span class="keywordtype">void</span> resizeNonZeros(Index size)</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">// TODO remove this function</span></div>
<div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  m_data.resize(size);</div>
<div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  }</div>
<div class="line"><a name="l00624"></a><span class="lineno"> 624</span> </div>
<div class="line"><a name="l00626"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#aa9767c7ef9fea17a585e4ad45d2d4ad3"> 626</a></span>  <span class="keyword">const</span> <a class="code" href="classEigen_1_1Diagonal.html">Diagonal<const SparseMatrix></a> <a class="code" href="classEigen_1_1SparseMatrix.html#aa9767c7ef9fea17a585e4ad45d2d4ad3">diagonal</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> *<span class="keyword">this</span>; }</div>
<div class="line"><a name="l00627"></a><span class="lineno"> 627</span> </div>
<div class="line"><a name="l00629"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#a79446a803c1bed8b17c8ac937d07be39"> 629</a></span>  <span class="keyword">inline</span> <a class="code" href="classEigen_1_1SparseMatrix.html#a79446a803c1bed8b17c8ac937d07be39">SparseMatrix</a>()</div>
<div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  : m_outerSize(-1), m_innerSize(0), m_outerIndex(0), m_innerNonZeros(0)</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>  check_template_parameters();</div>
<div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  <a class="code" href="classEigen_1_1SparseMatrix.html#ac20f895ce9b73fa7447196855c0d0758">resize</a>(0, 0);</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> </div>
<div class="line"><a name="l00637"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#a400288628e3257a6216b04ba4b2762c7"> 637</a></span>  <span class="keyword">inline</span> <a class="code" href="classEigen_1_1SparseMatrix.html#a400288628e3257a6216b04ba4b2762c7">SparseMatrix</a>(Index <a class="code" href="classEigen_1_1SparseMatrix.html#a5552abd83dbd03c85cea6d61fd8875a5">rows</a>, Index <a class="code" href="classEigen_1_1SparseMatrix.html#aaca1908a5ec508a25ff0a8bca803e5f3">cols</a>)</div>
<div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  : m_outerSize(0), m_innerSize(0), m_outerIndex(0), m_innerNonZeros(0)</div>
<div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  {</div>
<div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  check_template_parameters();</div>
<div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  <a class="code" href="classEigen_1_1SparseMatrix.html#ac20f895ce9b73fa7447196855c0d0758">resize</a>(rows, cols);</div>
<div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  }</div>
<div class="line"><a name="l00643"></a><span class="lineno"> 643</span> </div>
<div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  <span class="keyword">template</span><<span class="keyword">typename</span> OtherDerived></div>
<div class="line"><a name="l00646"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#ab42390876ea7ef3fe4845b936c281c99"> 646</a></span>  <span class="keyword">inline</span> <a class="code" href="classEigen_1_1SparseMatrix.html#ab42390876ea7ef3fe4845b936c281c99">SparseMatrix</a>(<span class="keyword">const</span> <a class="code" href="classEigen_1_1SparseMatrixBase.html">SparseMatrixBase<OtherDerived></a>& other)</div>
<div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  : m_outerSize(0), m_innerSize(0), m_outerIndex(0), m_innerNonZeros(0)</div>
<div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  {</div>
<div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  EIGEN_STATIC_ASSERT((internal::is_same<Scalar, typename OtherDerived::Scalar>::value),</div>
<div class="line"><a name="l00650"></a><span class="lineno"> 650</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="l00651"></a><span class="lineno"> 651</span>  check_template_parameters();</div>
<div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  *<span class="keyword">this</span> = other.<a class="code" href="structEigen_1_1EigenBase.html#aa84222add803ad7c9db07dd4dd91d5d9">derived</a>();</div>
<div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  }</div>
<div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  </div>
<div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  <span class="keyword">template</span><<span class="keyword">typename</span> OtherDerived, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> UpLo></div>
<div class="line"><a name="l00657"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#adb330ac5ce39e4e90e129a7dc2861f98"> 657</a></span>  <span class="keyword">inline</span> <a class="code" href="classEigen_1_1SparseMatrix.html#adb330ac5ce39e4e90e129a7dc2861f98">SparseMatrix</a>(<span class="keyword">const</span> <a class="code" href="classEigen_1_1SparseSelfAdjointView.html">SparseSelfAdjointView<OtherDerived, UpLo></a>& other)</div>
<div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  : m_outerSize(0), m_innerSize(0), m_outerIndex(0), m_innerNonZeros(0)</div>
<div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  {</div>
<div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  check_template_parameters();</div>
<div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  *<span class="keyword">this</span> = other;</div>
<div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  }</div>
<div class="line"><a name="l00663"></a><span class="lineno"> 663</span> </div>
<div class="line"><a name="l00665"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#a631add606d943913aa2dbda84c0d4d20"> 665</a></span>  <span class="keyword">inline</span> <a class="code" href="classEigen_1_1SparseMatrix.html#a631add606d943913aa2dbda84c0d4d20">SparseMatrix</a>(<span class="keyword">const</span> <a class="code" href="classEigen_1_1SparseMatrix.html">SparseMatrix</a>& other)</div>
<div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  : <a class="code" href="structEigen_1_1EigenBase.html">Base</a>(), m_outerSize(0), m_innerSize(0), m_outerIndex(0), m_innerNonZeros(0)</div>
<div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  {</div>
<div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  check_template_parameters();</div>
<div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  *<span class="keyword">this</span> = other.<a class="code" href="structEigen_1_1EigenBase.html#aa84222add803ad7c9db07dd4dd91d5d9">derived</a>();</div>
<div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  }</div>
<div class="line"><a name="l00671"></a><span class="lineno"> 671</span> </div>
<div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  <span class="keyword">template</span><<span class="keyword">typename</span> OtherDerived></div>
<div class="line"><a name="l00674"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#ace8ac898d02532cafa313c6351a74468"> 674</a></span>  <a class="code" href="classEigen_1_1SparseMatrix.html#ace8ac898d02532cafa313c6351a74468">SparseMatrix</a>(<span class="keyword">const</span> ReturnByValue<OtherDerived>& other)</div>
<div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  : <a class="code" href="structEigen_1_1EigenBase.html">Base</a>(), m_outerSize(0), m_innerSize(0), m_outerIndex(0), m_innerNonZeros(0)</div>
<div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  {</div>
<div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  check_template_parameters();</div>
<div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  initAssignment(other);</div>
<div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  other.evalTo(*<span class="keyword">this</span>);</div>
<div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  }</div>
<div class="line"><a name="l00681"></a><span class="lineno"> 681</span> </div>
<div class="line"><a name="l00684"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#a396133d952d4698941fe010c7ec6f72b"> 684</a></span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1SparseMatrix.html#a396133d952d4698941fe010c7ec6f72b">swap</a>(<a class="code" href="classEigen_1_1SparseMatrix.html">SparseMatrix</a>& other)</div>
<div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  {</div>
<div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  <span class="comment">//EIGEN_DBG_SPARSE(std::cout << "SparseMatrix:: swap\n");</span></div>
<div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  std::swap(m_outerIndex, other.m_outerIndex);</div>
<div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  std::swap(m_innerSize, other.m_innerSize);</div>
<div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  std::swap(m_outerSize, other.m_outerSize);</div>
<div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  std::swap(m_innerNonZeros, other.m_innerNonZeros);</div>
<div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  m_data.swap(other.m_data);</div>
<div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  }</div>
<div class="line"><a name="l00693"></a><span class="lineno"> 693</span> </div>
<div class="line"><a name="l00695"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#a382e6ad7e6721b121e510959e1011be3"> 695</a></span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1SparseMatrix.html#a382e6ad7e6721b121e510959e1011be3">setIdentity</a>()</div>
<div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  {</div>
<div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  eigen_assert(<a class="code" href="classEigen_1_1SparseMatrix.html#a5552abd83dbd03c85cea6d61fd8875a5">rows</a>() == <a class="code" href="classEigen_1_1SparseMatrix.html#aaca1908a5ec508a25ff0a8bca803e5f3">cols</a>() && <span class="stringliteral">"ONLY FOR SQUARED MATRICES"</span>);</div>
<div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  this->m_data.resize(<a class="code" href="classEigen_1_1SparseMatrix.html#a5552abd83dbd03c85cea6d61fd8875a5">rows</a>());</div>
<div class="line"><a name="l00699"></a><span class="lineno"> 699</span>  <a class="code" href="classEigen_1_1Map.html">Eigen::Map<Matrix<Index, Dynamic, 1></a> >(&this->m_data.index(0), <a class="code" href="classEigen_1_1SparseMatrix.html#a5552abd83dbd03c85cea6d61fd8875a5">rows</a>()).setLinSpaced(0, <a class="code" href="classEigen_1_1SparseMatrix.html#a5552abd83dbd03c85cea6d61fd8875a5">rows</a>()-1);</div>
<div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  <a class="code" href="classEigen_1_1Map.html">Eigen::Map<Matrix<Scalar, Dynamic, 1></a> >(&this->m_data.value(0), <a class="code" href="classEigen_1_1SparseMatrix.html#a5552abd83dbd03c85cea6d61fd8875a5">rows</a>()).setOnes();</div>
<div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  <a class="code" href="classEigen_1_1Map.html">Eigen::Map<Matrix<Index, Dynamic, 1></a> >(this->m_outerIndex, <a class="code" href="classEigen_1_1SparseMatrix.html#a5552abd83dbd03c85cea6d61fd8875a5">rows</a>()+1).setLinSpaced(0, <a class="code" href="classEigen_1_1SparseMatrix.html#a5552abd83dbd03c85cea6d61fd8875a5">rows</a>());</div>
<div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  }</div>
<div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  <span class="keyword">inline</span> <a class="code" href="classEigen_1_1SparseMatrix.html">SparseMatrix</a>& operator=(<span class="keyword">const</span> <a class="code" href="classEigen_1_1SparseMatrix.html">SparseMatrix</a>& other)</div>
<div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  {</div>
<div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  <span class="keywordflow">if</span> (other.isRValue())</div>
<div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  {</div>
<div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  <a class="code" href="classEigen_1_1SparseMatrix.html#a396133d952d4698941fe010c7ec6f72b">swap</a>(other.const_cast_derived());</div>
<div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  }</div>
<div class="line"><a name="l00709"></a><span class="lineno"> 709</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(<span class="keyword">this</span>!=&other)</div>
<div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  {</div>
<div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  initAssignment(other);</div>
<div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  <span class="keywordflow">if</span>(other.<a class="code" href="classEigen_1_1SparseMatrix.html#a4549e80dac9fd4f4c9ecee00814ecaa5">isCompressed</a>())</div>
<div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  {</div>
<div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  memcpy(m_outerIndex, other.m_outerIndex, (m_outerSize+1)*<span class="keyword">sizeof</span>(Index));</div>
<div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  m_data = other.m_data;</div>
<div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  }</div>
<div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00718"></a><span class="lineno"> 718</span>  {</div>
<div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  Base::operator=(other);</div>
<div class="line"><a name="l00720"></a><span class="lineno"> 720</span>  }</div>
<div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  }</div>
<div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
<div class="line"><a name="l00723"></a><span class="lineno"> 723</span>  }</div>
<div class="line"><a name="l00724"></a><span class="lineno"> 724</span> </div>
<div class="line"><a name="l00725"></a><span class="lineno"> 725</span> <span class="preprocessor"> #ifndef EIGEN_PARSED_BY_DOXYGEN</span></div>
<div class="line"><a name="l00726"></a><span class="lineno"> 726</span> <span class="preprocessor"></span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs></div>
<div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  <span class="keyword">inline</span> <a class="code" href="classEigen_1_1SparseMatrix.html#a79446a803c1bed8b17c8ac937d07be39">SparseMatrix</a>& operator=(<span class="keyword">const</span> SparseSparseProduct<Lhs,Rhs>& product)</div>
<div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  { <span class="keywordflow">return</span> Base::operator=(product); }</div>
<div class="line"><a name="l00729"></a><span class="lineno"> 729</span>  </div>
<div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  <span class="keyword">template</span><<span class="keyword">typename</span> OtherDerived></div>
<div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  <span class="keyword">inline</span> <a class="code" href="classEigen_1_1SparseMatrix.html#a79446a803c1bed8b17c8ac937d07be39">SparseMatrix</a>& operator=(<span class="keyword">const</span> ReturnByValue<OtherDerived>& other)</div>
<div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  {</div>
<div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  initAssignment(other);</div>
<div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  <span class="keywordflow">return</span> Base::operator=(other.derived());</div>
<div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  }</div>
<div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  </div>
<div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  <span class="keyword">template</span><<span class="keyword">typename</span> OtherDerived></div>
<div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  <span class="keyword">inline</span> <a class="code" href="classEigen_1_1SparseMatrix.html#a79446a803c1bed8b17c8ac937d07be39">SparseMatrix</a>& operator=(<span class="keyword">const</span> EigenBase<OtherDerived>& other)</div>
<div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  { <span class="keywordflow">return</span> Base::operator=(other.derived()); }</div>
<div class="line"><a name="l00740"></a><span class="lineno"> 740</span> <span class="preprocessor"> #endif</span></div>
<div class="line"><a name="l00741"></a><span class="lineno"> 741</span> <span class="preprocessor"></span></div>
<div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  <span class="keyword">template</span><<span class="keyword">typename</span> OtherDerived></div>
<div class="line"><a name="l00743"></a><span class="lineno"> 743</span>  EIGEN_DONT_INLINE <a class="code" href="classEigen_1_1SparseMatrix.html#a79446a803c1bed8b17c8ac937d07be39">SparseMatrix</a>& operator=(<span class="keyword">const</span> SparseMatrixBase<OtherDerived>& other);</div>
<div class="line"><a name="l00744"></a><span class="lineno"> 744</span> </div>
<div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  <span class="keyword">friend</span> std::ostream & operator << (std::ostream & s, <span class="keyword">const</span> <a class="code" href="classEigen_1_1SparseMatrix.html#a79446a803c1bed8b17c8ac937d07be39">SparseMatrix</a>& m)</div>
<div class="line"><a name="l00746"></a><span class="lineno"> 746</span>  {</div>
<div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  EIGEN_DBG_SPARSE(</div>
<div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  s << <span class="stringliteral">"Nonzero entries:\n"</span>;</div>
<div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  <span class="keywordflow">if</span>(m.isCompressed())</div>
<div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  <span class="keywordflow">for</span> (Index i=0; i<m.nonZeros(); ++i)</div>
<div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  s << <span class="stringliteral">"("</span> << m.m_data.value(i) << <span class="stringliteral">","</span> << m.m_data.index(i) << <span class="stringliteral">") "</span>;</div>
<div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  <span class="keywordflow">for</span> (Index i=0; i<m.outerSize(); ++i)</div>
<div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  {</div>
<div class="line"><a name="l00755"></a><span class="lineno"> 755</span>  <span class="keywordtype">int</span> p = m.m_outerIndex[i];</div>
<div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  <span class="keywordtype">int</span> pe = m.m_outerIndex[i]+m.m_innerNonZeros[i];</div>
<div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  Index k=p;</div>
<div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  <span class="keywordflow">for</span> (; k<pe; ++k)</div>
<div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  s << <span class="stringliteral">"("</span> << m.m_data.value(k) << <span class="stringliteral">","</span> << m.m_data.index(k) << <span class="stringliteral">") "</span>;</div>
<div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  <span class="keywordflow">for</span> (; k<m.m_outerIndex[i+1]; ++k)</div>
<div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  s << <span class="stringliteral">"(_,_) "</span>;</div>
<div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  }</div>
<div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  s << std::endl;</div>
<div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  s << std::endl;</div>
<div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  s << <span class="stringliteral">"Outer pointers:\n"</span>;</div>
<div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  <span class="keywordflow">for</span> (Index i=0; i<m.outerSize(); ++i)</div>
<div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  s << m.m_outerIndex[i] << <span class="stringliteral">" "</span>;</div>
<div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  s << <span class="stringliteral">" $"</span> << std::endl;</div>
<div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  <span class="keywordflow">if</span>(!m.isCompressed())</div>
<div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  {</div>
<div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  s << <span class="stringliteral">"Inner non zeros:\n"</span>;</div>
<div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  <span class="keywordflow">for</span> (Index i=0; i<m.outerSize(); ++i)</div>
<div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  s << m.m_innerNonZeros[i] << <span class="stringliteral">" "</span>;</div>
<div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  s << <span class="stringliteral">" $"</span> << std::endl;</div>
<div class="line"><a name="l00775"></a><span class="lineno"> 775</span>  }</div>
<div class="line"><a name="l00776"></a><span class="lineno"> 776</span>  s << std::endl;</div>
<div class="line"><a name="l00777"></a><span class="lineno"> 777</span>  );</div>
<div class="line"><a name="l00778"></a><span class="lineno"> 778</span>  s << static_cast<const SparseMatrixBase<SparseMatrix>&>(m);</div>
<div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  <span class="keywordflow">return</span> s;</div>
<div class="line"><a name="l00780"></a><span class="lineno"> 780</span>  }</div>
<div class="line"><a name="l00781"></a><span class="lineno"> 781</span> </div>
<div class="line"><a name="l00783"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#aba0104120c59e6c59af1932a8eaaa10e"> 783</a></span>  <span class="keyword">inline</span> <a class="code" href="classEigen_1_1SparseMatrix.html#aba0104120c59e6c59af1932a8eaaa10e">~SparseMatrix</a>()</div>
<div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  {</div>
<div class="line"><a name="l00785"></a><span class="lineno"> 785</span>  std::free(m_outerIndex);</div>
<div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  std::free(m_innerNonZeros);</div>
<div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  }</div>
<div class="line"><a name="l00788"></a><span class="lineno"> 788</span> </div>
<div class="line"><a name="l00789"></a><span class="lineno"> 789</span> <span class="preprocessor">#ifndef EIGEN_PARSED_BY_DOXYGEN</span></div>
<div class="line"><a name="l00790"></a><span class="lineno"> 790</span> <span class="preprocessor"></span></div>
<div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  Scalar sum() <span class="keyword">const</span>;</div>
<div class="line"><a name="l00792"></a><span class="lineno"> 792</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00793"></a><span class="lineno"> 793</span> <span class="preprocessor"></span> </div>
<div class="line"><a name="l00794"></a><span class="lineno"> 794</span> <span class="preprocessor"># ifdef EIGEN_SPARSEMATRIX_PLUGIN</span></div>
<div class="line"><a name="l00795"></a><span class="lineno"> 795</span> <span class="preprocessor"></span><span class="preprocessor"># include EIGEN_SPARSEMATRIX_PLUGIN</span></div>
<div class="line"><a name="l00796"></a><span class="lineno"> 796</span> <span class="preprocessor"></span><span class="preprocessor"># endif</span></div>
<div class="line"><a name="l00797"></a><span class="lineno"> 797</span> <span class="preprocessor"></span></div>
<div class="line"><a name="l00798"></a><span class="lineno"> 798</span> <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00799"></a><span class="lineno"> 799</span> </div>
<div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Other></div>
<div class="line"><a name="l00801"></a><span class="lineno"> 801</span>  <span class="keywordtype">void</span> initAssignment(<span class="keyword">const</span> Other& other)</div>
<div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  {</div>
<div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  <a class="code" href="classEigen_1_1SparseMatrix.html#ac20f895ce9b73fa7447196855c0d0758">resize</a>(other.rows(), other.cols());</div>
<div class="line"><a name="l00804"></a><span class="lineno"> 804</span>  <span class="keywordflow">if</span>(m_innerNonZeros)</div>
<div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  {</div>
<div class="line"><a name="l00806"></a><span class="lineno"> 806</span>  std::free(m_innerNonZeros);</div>
<div class="line"><a name="l00807"></a><span class="lineno"> 807</span>  m_innerNonZeros = 0;</div>
<div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  }</div>
<div class="line"><a name="l00809"></a><span class="lineno"> 809</span>  }</div>
<div class="line"><a name="l00810"></a><span class="lineno"> 810</span> </div>
<div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  EIGEN_DONT_INLINE Scalar& insertCompressed(Index <a class="code" href="classEigen_1_1SparseMatrixBase.html#aa8716d44f51321072ee5c88665c28813">row</a>, Index <a class="code" href="classEigen_1_1SparseMatrixBase.html#a58c77695de3b33405f01f2fdf3dc389d">col</a>);</div>
<div class="line"><a name="l00814"></a><span class="lineno"> 814</span> </div>
<div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  <span class="keyword">class </span>SingletonVector</div>
<div class="line"><a name="l00818"></a><span class="lineno"> 818</span>  {</div>
<div class="line"><a name="l00819"></a><span class="lineno"> 819</span>  Index m_index;</div>
<div class="line"><a name="l00820"></a><span class="lineno"> 820</span>  Index m_value;</div>
<div class="line"><a name="l00821"></a><span class="lineno"> 821</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  <span class="keyword">typedef</span> Index value_type;</div>
<div class="line"><a name="l00823"></a><span class="lineno"> 823</span>  SingletonVector(Index i, Index v)</div>
<div class="line"><a name="l00824"></a><span class="lineno"> 824</span>  : m_index(i), m_value(v)</div>
<div class="line"><a name="l00825"></a><span class="lineno"> 825</span>  {}</div>
<div class="line"><a name="l00826"></a><span class="lineno"> 826</span> </div>
<div class="line"><a name="l00827"></a><span class="lineno"> 827</span>  Index operator[](Index i)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> i==m_index ? m_value : 0; }</div>
<div class="line"><a name="l00828"></a><span class="lineno"> 828</span>  };</div>
<div class="line"><a name="l00829"></a><span class="lineno"> 829</span> </div>
<div class="line"><a name="l00832"></a><span class="lineno"> 832</span>  EIGEN_DONT_INLINE Scalar& insertUncompressed(Index <a class="code" href="classEigen_1_1SparseMatrixBase.html#aa8716d44f51321072ee5c88665c28813">row</a>, Index <a class="code" href="classEigen_1_1SparseMatrixBase.html#a58c77695de3b33405f01f2fdf3dc389d">col</a>);</div>
<div class="line"><a name="l00833"></a><span class="lineno"> 833</span> </div>
<div class="line"><a name="l00834"></a><span class="lineno"> 834</span> <span class="keyword">public</span>:</div>
<div class="line"><a name="l00837"></a><span class="lineno"> 837</span>  EIGEN_STRONG_INLINE Scalar& insertBackUncompressed(Index <a class="code" href="classEigen_1_1SparseMatrixBase.html#aa8716d44f51321072ee5c88665c28813">row</a>, Index <a class="code" href="classEigen_1_1SparseMatrixBase.html#a58c77695de3b33405f01f2fdf3dc389d">col</a>)</div>
<div class="line"><a name="l00838"></a><span class="lineno"> 838</span>  {</div>
<div class="line"><a name="l00839"></a><span class="lineno"> 839</span>  <span class="keyword">const</span> Index outer = IsRowMajor ? row : <a class="code" href="classEigen_1_1SparseMatrixBase.html#a58c77695de3b33405f01f2fdf3dc389d">col</a>;</div>
<div class="line"><a name="l00840"></a><span class="lineno"> 840</span>  <span class="keyword">const</span> Index inner = IsRowMajor ? col : <a class="code" href="classEigen_1_1SparseMatrixBase.html#aa8716d44f51321072ee5c88665c28813">row</a>;</div>
<div class="line"><a name="l00841"></a><span class="lineno"> 841</span> </div>
<div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  eigen_assert(!<a class="code" href="classEigen_1_1SparseMatrix.html#a4549e80dac9fd4f4c9ecee00814ecaa5">isCompressed</a>());</div>
<div class="line"><a name="l00843"></a><span class="lineno"> 843</span>  eigen_assert(m_innerNonZeros[outer]<=(m_outerIndex[outer+1] - m_outerIndex[outer]));</div>
<div class="line"><a name="l00844"></a><span class="lineno"> 844</span> </div>
<div class="line"><a name="l00845"></a><span class="lineno"> 845</span>  Index p = m_outerIndex[outer] + m_innerNonZeros[outer]++;</div>
<div class="line"><a name="l00846"></a><span class="lineno"> 846</span>  m_data.index(p) = inner;</div>
<div class="line"><a name="l00847"></a><span class="lineno"> 847</span>  <span class="keywordflow">return</span> (m_data.value(p) = 0);</div>
<div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  }</div>
<div class="line"><a name="l00849"></a><span class="lineno"> 849</span> </div>
<div class="line"><a name="l00850"></a><span class="lineno"> 850</span> <span class="keyword">private</span>:</div>
<div class="line"><a name="l00851"></a><span class="lineno"> 851</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> check_template_parameters()</div>
<div class="line"><a name="l00852"></a><span class="lineno"> 852</span>  {</div>
<div class="line"><a name="l00853"></a><span class="lineno"> 853</span>  EIGEN_STATIC_ASSERT(NumTraits<Index>::IsSigned,THE_INDEX_TYPE_MUST_BE_A_SIGNED_TYPE);</div>
<div class="line"><a name="l00854"></a><span class="lineno"> 854</span>  EIGEN_STATIC_ASSERT((Options&(<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>|<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>))==Options,INVALID_MATRIX_TEMPLATE_PARAMETERS);</div>
<div class="line"><a name="l00855"></a><span class="lineno"> 855</span>  }</div>
<div class="line"><a name="l00856"></a><span class="lineno"> 856</span> </div>
<div class="line"><a name="l00857"></a><span class="lineno"> 857</span>  <span class="keyword">struct </span>default_prunning_func {</div>
<div class="line"><a name="l00858"></a><span class="lineno"> 858</span>  default_prunning_func(<span class="keyword">const</span> Scalar& ref, <span class="keyword">const</span> RealScalar& eps) : reference(ref), epsilon(eps) {}</div>
<div class="line"><a name="l00859"></a><span class="lineno"> 859</span>  <span class="keyword">inline</span> <span class="keywordtype">bool</span> operator() (<span class="keyword">const</span> Index&, <span class="keyword">const</span> Index&, <span class="keyword">const</span> Scalar& value)<span class="keyword"> const</span></div>
<div class="line"><a name="l00860"></a><span class="lineno"> 860</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00861"></a><span class="lineno"> 861</span>  <span class="keywordflow">return</span> !internal::isMuchSmallerThan(value, reference, epsilon);</div>
<div class="line"><a name="l00862"></a><span class="lineno"> 862</span>  }</div>
<div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  Scalar reference;</div>
<div class="line"><a name="l00864"></a><span class="lineno"> 864</span>  RealScalar epsilon;</div>
<div class="line"><a name="l00865"></a><span class="lineno"> 865</span>  };</div>
<div class="line"><a name="l00866"></a><span class="lineno"> 866</span> };</div>
<div class="line"><a name="l00867"></a><span class="lineno"> 867</span> </div>
<div class="line"><a name="l00868"></a><span class="lineno"> 868</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar, <span class="keywordtype">int</span> _Options, <span class="keyword">typename</span> _Index></div>
<div class="line"><a name="l00869"></a><span class="lineno"> 869</span> <span class="keyword">class </span>SparseMatrix<Scalar,_Options,_Index>::InnerIterator</div>
<div class="line"><a name="l00870"></a><span class="lineno"> 870</span> {</div>
<div class="line"><a name="l00871"></a><span class="lineno"> 871</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00872"></a><span class="lineno"> 872</span>  InnerIterator(<span class="keyword">const</span> <a class="code" href="classEigen_1_1SparseMatrix.html#a79446a803c1bed8b17c8ac937d07be39">SparseMatrix</a>& mat, Index outer)</div>
<div class="line"><a name="l00873"></a><span class="lineno"> 873</span>  : m_values(mat.<a class="code" href="classEigen_1_1SparseMatrix.html#aa44fe8c6de1533193f303ab7c4d43692">valuePtr</a>()), m_indices(mat.<a class="code" href="classEigen_1_1SparseMatrix.html#a828e04dedd8347ad1c463817b2e5dbed">innerIndexPtr</a>()), m_outer(outer), m_id(mat.m_outerIndex[outer])</div>
<div class="line"><a name="l00874"></a><span class="lineno"> 874</span>  {</div>
<div class="line"><a name="l00875"></a><span class="lineno"> 875</span>  <span class="keywordflow">if</span>(mat.isCompressed())</div>
<div class="line"><a name="l00876"></a><span class="lineno"> 876</span>  m_end = mat.m_outerIndex[outer+1];</div>
<div class="line"><a name="l00877"></a><span class="lineno"> 877</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00878"></a><span class="lineno"> 878</span>  m_end = m_id + mat.m_innerNonZeros[outer];</div>
<div class="line"><a name="l00879"></a><span class="lineno"> 879</span>  }</div>
<div class="line"><a name="l00880"></a><span class="lineno"> 880</span> </div>
<div class="line"><a name="l00881"></a><span class="lineno"> 881</span>  <span class="keyword">inline</span> InnerIterator& operator++() { m_id++; <span class="keywordflow">return</span> *<span class="keyword">this</span>; }</div>
<div class="line"><a name="l00882"></a><span class="lineno"> 882</span> </div>
<div class="line"><a name="l00883"></a><span class="lineno"> 883</span>  <span class="keyword">inline</span> <span class="keyword">const</span> Scalar& value()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_values[m_id]; }</div>
<div class="line"><a name="l00884"></a><span class="lineno"> 884</span>  <span class="keyword">inline</span> Scalar& valueRef() { <span class="keywordflow">return</span> <span class="keyword">const_cast<</span>Scalar&<span class="keyword">></span>(m_values[m_id]); }</div>
<div class="line"><a name="l00885"></a><span class="lineno"> 885</span> </div>
<div class="line"><a name="l00886"></a><span class="lineno"> 886</span>  <span class="keyword">inline</span> Index index()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_indices[m_id]; }</div>
<div class="line"><a name="l00887"></a><span class="lineno"> 887</span>  <span class="keyword">inline</span> Index outer()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_outer; }</div>
<div class="line"><a name="l00888"></a><span class="lineno"> 888</span>  <span class="keyword">inline</span> Index <a class="code" href="classEigen_1_1SparseMatrixBase.html#aa8716d44f51321072ee5c88665c28813">row</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> IsRowMajor ? m_outer : index(); }</div>
<div class="line"><a name="l00889"></a><span class="lineno"> 889</span>  <span class="keyword">inline</span> Index <a class="code" href="classEigen_1_1SparseMatrixBase.html#a58c77695de3b33405f01f2fdf3dc389d">col</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> IsRowMajor ? index() : m_outer; }</div>
<div class="line"><a name="l00890"></a><span class="lineno"> 890</span> </div>
<div class="line"><a name="l00891"></a><span class="lineno"> 891</span>  <span class="keyword">inline</span> <span class="keyword">operator</span> bool()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> (m_id < m_end); }</div>
<div class="line"><a name="l00892"></a><span class="lineno"> 892</span> </div>
<div class="line"><a name="l00893"></a><span class="lineno"> 893</span>  <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00894"></a><span class="lineno"> 894</span>  <span class="keyword">const</span> Scalar* m_values;</div>
<div class="line"><a name="l00895"></a><span class="lineno"> 895</span>  <span class="keyword">const</span> Index* m_indices;</div>
<div class="line"><a name="l00896"></a><span class="lineno"> 896</span>  <span class="keyword">const</span> Index m_outer;</div>
<div class="line"><a name="l00897"></a><span class="lineno"> 897</span>  Index m_id;</div>
<div class="line"><a name="l00898"></a><span class="lineno"> 898</span>  Index m_end;</div>
<div class="line"><a name="l00899"></a><span class="lineno"> 899</span> };</div>
<div class="line"><a name="l00900"></a><span class="lineno"> 900</span> </div>
<div class="line"><a name="l00901"></a><span class="lineno"> 901</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar, <span class="keywordtype">int</span> _Options, <span class="keyword">typename</span> _Index></div>
<div class="line"><a name="l00902"></a><span class="lineno"> 902</span> <span class="keyword">class </span>SparseMatrix<Scalar,_Options,_Index>::ReverseInnerIterator</div>
<div class="line"><a name="l00903"></a><span class="lineno"> 903</span> {</div>
<div class="line"><a name="l00904"></a><span class="lineno"> 904</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00905"></a><span class="lineno"> 905</span>  ReverseInnerIterator(<span class="keyword">const</span> <a class="code" href="classEigen_1_1SparseMatrix.html#a79446a803c1bed8b17c8ac937d07be39">SparseMatrix</a>& mat, Index outer)</div>
<div class="line"><a name="l00906"></a><span class="lineno"> 906</span>  : m_values(mat.<a class="code" href="classEigen_1_1SparseMatrix.html#aa44fe8c6de1533193f303ab7c4d43692">valuePtr</a>()), m_indices(mat.<a class="code" href="classEigen_1_1SparseMatrix.html#a828e04dedd8347ad1c463817b2e5dbed">innerIndexPtr</a>()), m_outer(outer), m_start(mat.m_outerIndex[outer])</div>
<div class="line"><a name="l00907"></a><span class="lineno"> 907</span>  {</div>
<div class="line"><a name="l00908"></a><span class="lineno"> 908</span>  <span class="keywordflow">if</span>(mat.isCompressed())</div>
<div class="line"><a name="l00909"></a><span class="lineno"> 909</span>  m_id = mat.m_outerIndex[outer+1];</div>
<div class="line"><a name="l00910"></a><span class="lineno"> 910</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00911"></a><span class="lineno"> 911</span>  m_id = m_start + mat.m_innerNonZeros[outer];</div>
<div class="line"><a name="l00912"></a><span class="lineno"> 912</span>  }</div>
<div class="line"><a name="l00913"></a><span class="lineno"> 913</span> </div>
<div class="line"><a name="l00914"></a><span class="lineno"> 914</span>  <span class="keyword">inline</span> ReverseInnerIterator& operator--() { --m_id; <span class="keywordflow">return</span> *<span class="keyword">this</span>; }</div>
<div class="line"><a name="l00915"></a><span class="lineno"> 915</span> </div>
<div class="line"><a name="l00916"></a><span class="lineno"> 916</span>  <span class="keyword">inline</span> <span class="keyword">const</span> Scalar& value()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_values[m_id-1]; }</div>
<div class="line"><a name="l00917"></a><span class="lineno"> 917</span>  <span class="keyword">inline</span> Scalar& valueRef() { <span class="keywordflow">return</span> <span class="keyword">const_cast<</span>Scalar&<span class="keyword">></span>(m_values[m_id-1]); }</div>
<div class="line"><a name="l00918"></a><span class="lineno"> 918</span> </div>
<div class="line"><a name="l00919"></a><span class="lineno"> 919</span>  <span class="keyword">inline</span> Index index()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_indices[m_id-1]; }</div>
<div class="line"><a name="l00920"></a><span class="lineno"> 920</span>  <span class="keyword">inline</span> Index outer()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_outer; }</div>
<div class="line"><a name="l00921"></a><span class="lineno"> 921</span>  <span class="keyword">inline</span> Index <a class="code" href="classEigen_1_1SparseMatrixBase.html#aa8716d44f51321072ee5c88665c28813">row</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> IsRowMajor ? m_outer : index(); }</div>
<div class="line"><a name="l00922"></a><span class="lineno"> 922</span>  <span class="keyword">inline</span> Index <a class="code" href="classEigen_1_1SparseMatrixBase.html#a58c77695de3b33405f01f2fdf3dc389d">col</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> IsRowMajor ? index() : m_outer; }</div>
<div class="line"><a name="l00923"></a><span class="lineno"> 923</span> </div>
<div class="line"><a name="l00924"></a><span class="lineno"> 924</span>  <span class="keyword">inline</span> <span class="keyword">operator</span> bool()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> (m_id > m_start); }</div>
<div class="line"><a name="l00925"></a><span class="lineno"> 925</span> </div>
<div class="line"><a name="l00926"></a><span class="lineno"> 926</span>  <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00927"></a><span class="lineno"> 927</span>  <span class="keyword">const</span> Scalar* m_values;</div>
<div class="line"><a name="l00928"></a><span class="lineno"> 928</span>  <span class="keyword">const</span> Index* m_indices;</div>
<div class="line"><a name="l00929"></a><span class="lineno"> 929</span>  <span class="keyword">const</span> Index m_outer;</div>
<div class="line"><a name="l00930"></a><span class="lineno"> 930</span>  Index m_id;</div>
<div class="line"><a name="l00931"></a><span class="lineno"> 931</span>  <span class="keyword">const</span> Index m_start;</div>
<div class="line"><a name="l00932"></a><span class="lineno"> 932</span> };</div>
<div class="line"><a name="l00933"></a><span class="lineno"> 933</span> </div>
<div class="line"><a name="l00934"></a><span class="lineno"> 934</span> <span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00935"></a><span class="lineno"> 935</span> </div>
<div class="line"><a name="l00936"></a><span class="lineno"> 936</span> <span class="keyword">template</span><<span class="keyword">typename</span> InputIterator, <span class="keyword">typename</span> SparseMatrixType></div>
<div class="line"><a name="l00937"></a><span class="lineno"> 937</span> <span class="keywordtype">void</span> set_from_triplets(<span class="keyword">const</span> InputIterator& begin, <span class="keyword">const</span> InputIterator& end, SparseMatrixType& mat, <span class="keywordtype">int</span> Options = 0)</div>
<div class="line"><a name="l00938"></a><span class="lineno"> 938</span> {</div>
<div class="line"><a name="l00939"></a><span class="lineno"> 939</span>  EIGEN_UNUSED_VARIABLE(Options);</div>
<div class="line"><a name="l00940"></a><span class="lineno"> 940</span>  <span class="keyword">enum</span> { IsRowMajor = SparseMatrixType::IsRowMajor };</div>
<div class="line"><a name="l00941"></a><span class="lineno"> 941</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> SparseMatrixType::Scalar Scalar;</div>
<div class="line"><a name="l00942"></a><span class="lineno"> 942</span>  SparseMatrix<Scalar,IsRowMajor?ColMajor:RowMajor> trMat(mat.rows(),mat.cols());</div>
<div class="line"><a name="l00943"></a><span class="lineno"> 943</span> </div>
<div class="line"><a name="l00944"></a><span class="lineno"> 944</span>  <span class="keywordflow">if</span>(begin<end)</div>
<div class="line"><a name="l00945"></a><span class="lineno"> 945</span>  {</div>
<div class="line"><a name="l00946"></a><span class="lineno"> 946</span>  <span class="comment">// pass 1: count the nnz per inner-vector</span></div>
<div class="line"><a name="l00947"></a><span class="lineno"> 947</span>  <a class="code" href="group__matrixtypedefs.html#ga0312eb421909d32007ae4a55b9f22abb">VectorXi</a> wi(trMat.outerSize());</div>
<div class="line"><a name="l00948"></a><span class="lineno"> 948</span>  wi.<a class="code" href="classEigen_1_1PlainObjectBase.html#a04abe84a9a894de335a232681d9a0722">setZero</a>();</div>
<div class="line"><a name="l00949"></a><span class="lineno"> 949</span>  <span class="keywordflow">for</span>(InputIterator it(begin); it!=end; ++it)</div>
<div class="line"><a name="l00950"></a><span class="lineno"> 950</span>  {</div>
<div class="line"><a name="l00951"></a><span class="lineno"> 951</span>  eigen_assert(it->row()>=0 && it->row()<mat.rows() && it->col()>=0 && it->col()<mat.cols());</div>
<div class="line"><a name="l00952"></a><span class="lineno"> 952</span>  wi(IsRowMajor ? it->col() : it->row())++;</div>
<div class="line"><a name="l00953"></a><span class="lineno"> 953</span>  }</div>
<div class="line"><a name="l00954"></a><span class="lineno"> 954</span> </div>
<div class="line"><a name="l00955"></a><span class="lineno"> 955</span>  <span class="comment">// pass 2: insert all the elements into trMat</span></div>
<div class="line"><a name="l00956"></a><span class="lineno"> 956</span>  trMat.reserve(wi);</div>
<div class="line"><a name="l00957"></a><span class="lineno"> 957</span>  <span class="keywordflow">for</span>(InputIterator it(begin); it!=end; ++it)</div>
<div class="line"><a name="l00958"></a><span class="lineno"> 958</span>  trMat.insertBackUncompressed(it->row(),it->col()) = it->value();</div>
<div class="line"><a name="l00959"></a><span class="lineno"> 959</span> </div>
<div class="line"><a name="l00960"></a><span class="lineno"> 960</span>  <span class="comment">// pass 3:</span></div>
<div class="line"><a name="l00961"></a><span class="lineno"> 961</span>  trMat.sumupDuplicates();</div>
<div class="line"><a name="l00962"></a><span class="lineno"> 962</span>  }</div>
<div class="line"><a name="l00963"></a><span class="lineno"> 963</span> </div>
<div class="line"><a name="l00964"></a><span class="lineno"> 964</span>  <span class="comment">// pass 4: transposed copy -> implicit sorting</span></div>
<div class="line"><a name="l00965"></a><span class="lineno"> 965</span>  mat = trMat;</div>
<div class="line"><a name="l00966"></a><span class="lineno"> 966</span> }</div>
<div class="line"><a name="l00967"></a><span class="lineno"> 967</span> </div>
<div class="line"><a name="l00968"></a><span class="lineno"> 968</span> }</div>
<div class="line"><a name="l00969"></a><span class="lineno"> 969</span> </div>
<div class="line"><a name="l00970"></a><span class="lineno"> 970</span> </div>
<div class="line"><a name="l01008"></a><span class="lineno"> 1008</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar, <span class="keywordtype">int</span> _Options, <span class="keyword">typename</span> _Index></div>
<div class="line"><a name="l01009"></a><span class="lineno"> 1009</span> <span class="keyword">template</span><<span class="keyword">typename</span> InputIterators></div>
<div class="line"><a name="l01010"></a><span class="lineno"><a class="line" href="classEigen_1_1SparseMatrix.html#a5bcf3187e372ff7cea1e8f61152ae49b"> 1010</a></span> <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1SparseMatrix.html#a5bcf3187e372ff7cea1e8f61152ae49b">SparseMatrix<Scalar,_Options,_Index>::setFromTriplets</a>(<span class="keyword">const</span> InputIterators& begin, <span class="keyword">const</span> InputIterators& end)</div>
<div class="line"><a name="l01011"></a><span class="lineno"> 1011</span> {</div>
<div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>  internal::set_from_triplets(begin, end, *<span class="keyword">this</span>);</div>
<div class="line"><a name="l01013"></a><span class="lineno"> 1013</span> }</div>
<div class="line"><a name="l01014"></a><span class="lineno"> 1014</span> </div>
<div class="line"><a name="l01016"></a><span class="lineno"> 1016</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar, <span class="keywordtype">int</span> _Options, <span class="keyword">typename</span> _Index></div>
<div class="line"><a name="l01017"></a><span class="lineno"> 1017</span> <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1SparseMatrix.html">SparseMatrix<Scalar,_Options,_Index>::sumupDuplicates</a>()</div>
<div class="line"><a name="l01018"></a><span class="lineno"> 1018</span> {</div>
<div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>  eigen_assert(!isCompressed());</div>
<div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>  <span class="comment">// TODO, in practice we should be able to use m_innerNonZeros for that task</span></div>
<div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>  <a class="code" href="classEigen_1_1Matrix.html">VectorXi</a> wi(innerSize());</div>
<div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>  wi.fill(-1);</div>
<div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>  Index count = 0;</div>
<div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>  <span class="comment">// for each inner-vector, wi[inner_index] will hold the position of first element into the index/value buffers</span></div>
<div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> j=0; j<outerSize(); ++j)</div>
<div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>  {</div>
<div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>  Index start = count;</div>
<div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>  Index oldEnd = m_outerIndex[j]+m_innerNonZeros[j];</div>
<div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>  <span class="keywordflow">for</span>(Index k=m_outerIndex[j]; k<oldEnd; ++k)</div>
<div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>  {</div>
<div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>  Index i = m_data.index(k);</div>
<div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>  <span class="keywordflow">if</span>(wi(i)>=start)</div>
<div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>  {</div>
<div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>  <span class="comment">// we already meet this entry => accumulate it</span></div>
<div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>  m_data.value(wi(i)) += m_data.value(k);</div>
<div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>  }</div>
<div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>  {</div>
<div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>  m_data.value(count) = m_data.value(k);</div>
<div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>  m_data.index(count) = m_data.index(k);</div>
<div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>  wi(i) = count;</div>
<div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>  ++count;</div>
<div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>  }</div>
<div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>  }</div>
<div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>  m_outerIndex[j] = start;</div>
<div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>  }</div>
<div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>  m_outerIndex[m_outerSize] = count;</div>
<div class="line"><a name="l01048"></a><span class="lineno"> 1048</span> </div>
<div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>  <span class="comment">// turn the matrix into compressed form</span></div>
<div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>  std::free(m_innerNonZeros);</div>
<div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>  m_innerNonZeros = 0;</div>
<div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>  m_data.resize(m_outerIndex[m_outerSize]);</div>
<div class="line"><a name="l01053"></a><span class="lineno"> 1053</span> }</div>
<div class="line"><a name="l01054"></a><span class="lineno"> 1054</span> </div>
<div class="line"><a name="l01055"></a><span class="lineno"> 1055</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar, <span class="keywordtype">int</span> _Options, <span class="keyword">typename</span> _Index></div>
<div class="line"><a name="l01056"></a><span class="lineno"> 1056</span> <span class="keyword">template</span><<span class="keyword">typename</span> OtherDerived></div>
<div class="line"><a name="l01057"></a><span class="lineno"> 1057</span> EIGEN_DONT_INLINE SparseMatrix<Scalar,_Options,_Index>& SparseMatrix<Scalar,_Options,_Index>::operator=(<span class="keyword">const</span> SparseMatrixBase<OtherDerived>& other)</div>
<div class="line"><a name="l01058"></a><span class="lineno"> 1058</span> {</div>
<div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>  EIGEN_STATIC_ASSERT((internal::is_same<Scalar, typename OtherDerived::Scalar>::value),</div>
<div class="line"><a name="l01060"></a><span class="lineno"> 1060</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="l01061"></a><span class="lineno"> 1061</span>  </div>
<div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>  const <span class="keywordtype">bool</span> needToTranspose = (Flags & <a class="code" href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">RowMajorBit</a>) != (OtherDerived::Flags & <a class="code" href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">RowMajorBit</a>);</div>
<div class="line"><a name="l01063"></a><span class="lineno"> 1063</span>  if (needToTranspose)</div>
<div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>  {</div>
<div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>  <span class="comment">// two passes algorithm:</span></div>
<div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>  <span class="comment">// 1 - compute the number of coeffs per dest inner vector</span></div>
<div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>  <span class="comment">// 2 - do the actual copy/eval</span></div>
<div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>  <span class="comment">// Since each coeff of the rhs has to be evaluated twice, let's evaluate it if needed</span></div>
<div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::nested<OtherDerived,2>::type OtherCopy;</div>
<div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::remove_all<OtherCopy>::type _OtherCopy;</div>
<div class="line"><a name="l01071"></a><span class="lineno"> 1071</span>  OtherCopy otherCopy(other.derived());</div>
<div class="line"><a name="l01072"></a><span class="lineno"> 1072</span> </div>
<div class="line"><a name="l01073"></a><span class="lineno"> 1073</span>  SparseMatrix dest(other.rows(),other.cols());</div>
<div class="line"><a name="l01074"></a><span class="lineno"> 1074</span>  <a class="code" href="classEigen_1_1Map.html">Eigen::Map<Matrix<Index, Dynamic, 1></a> > (dest.m_outerIndex,dest.outerSize()).setZero();</div>
<div class="line"><a name="l01075"></a><span class="lineno"> 1075</span> </div>
<div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>  <span class="comment">// pass 1</span></div>
<div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>  <span class="comment">// FIXME the above copy could be merged with that pass</span></div>
<div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>  <span class="keywordflow">for</span> (Index j=0; j<otherCopy.outerSize(); ++j)</div>
<div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>  <span class="keywordflow">for</span> (<span class="keyword">typename</span> _OtherCopy::InnerIterator it(otherCopy, j); it; ++it)</div>
<div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>  ++dest.m_outerIndex[it.index()];</div>
<div class="line"><a name="l01081"></a><span class="lineno"> 1081</span> </div>
<div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>  <span class="comment">// prefix sum</span></div>
<div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>  Index count = 0;</div>
<div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>  <a class="code" href="group__matrixtypedefs.html#ga0312eb421909d32007ae4a55b9f22abb">VectorXi</a> positions(dest.outerSize());</div>
<div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>  <span class="keywordflow">for</span> (Index j=0; j<dest.outerSize(); ++j)</div>
<div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>  {</div>
<div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>  Index tmp = dest.m_outerIndex[j];</div>
<div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>  dest.m_outerIndex[j] = count;</div>
<div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>  positions[j] = count;</div>
<div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>  count += tmp;</div>
<div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>  }</div>
<div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>  dest.m_outerIndex[dest.outerSize()] = count;</div>
<div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>  <span class="comment">// alloc</span></div>
<div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>  dest.m_data.<a class="code" href="classEigen_1_1PlainObjectBase.html#afbbb33d14fe7fb9683019a39ce1c659d">resize</a>(count);</div>
<div class="line"><a name="l01095"></a><span class="lineno"> 1095</span>  <span class="comment">// pass 2</span></div>
<div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>  <span class="keywordflow">for</span> (Index j=0; j<otherCopy.outerSize(); ++j)</div>
<div class="line"><a name="l01097"></a><span class="lineno"> 1097</span>  {</div>
<div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>  <span class="keywordflow">for</span> (<span class="keyword">typename</span> _OtherCopy::InnerIterator it(otherCopy, j); it; ++it)</div>
<div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>  {</div>
<div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>  Index pos = positions[it.index()]++;</div>
<div class="line"><a name="l01101"></a><span class="lineno"> 1101</span>  dest.m_data.index(pos) = j;</div>
<div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>  dest.m_data.value(pos) = it.value();</div>
<div class="line"><a name="l01103"></a><span class="lineno"> 1103</span>  }</div>
<div class="line"><a name="l01104"></a><span class="lineno"> 1104</span>  }</div>
<div class="line"><a name="l01105"></a><span class="lineno"> 1105</span>  this->swap(dest);</div>
<div class="line"><a name="l01106"></a><span class="lineno"> 1106</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
<div class="line"><a name="l01107"></a><span class="lineno"> 1107</span>  }</div>
<div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l01109"></a><span class="lineno"> 1109</span>  {</div>
<div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>  <span class="keywordflow">if</span>(other.isRValue())</div>
<div class="line"><a name="l01111"></a><span class="lineno"> 1111</span>  initAssignment(other.derived());</div>
<div class="line"><a name="l01112"></a><span class="lineno"> 1112</span>  <span class="comment">// there is no special optimization</span></div>
<div class="line"><a name="l01113"></a><span class="lineno"> 1113</span>  <span class="keywordflow">return</span> Base::operator=(other.derived());</div>
<div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>  }</div>
<div class="line"><a name="l01115"></a><span class="lineno"> 1115</span> }</div>
<div class="line"><a name="l01116"></a><span class="lineno"> 1116</span> </div>
<div class="line"><a name="l01117"></a><span class="lineno"> 1117</span> <span class="keyword">template</span><<span class="keyword">typename</span> _Scalar, <span class="keywordtype">int</span> _Options, <span class="keyword">typename</span> _Index></div>
<div class="line"><a name="l01118"></a><span class="lineno"> 1118</span> EIGEN_DONT_INLINE <span class="keyword">typename</span> SparseMatrix<_Scalar,_Options,_Index>::Scalar& SparseMatrix<_Scalar,_Options,_Index>::insertUncompressed(Index row, Index col)</div>
<div class="line"><a name="l01119"></a><span class="lineno"> 1119</span> {</div>
<div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>  eigen_assert(!isCompressed());</div>
<div class="line"><a name="l01121"></a><span class="lineno"> 1121</span> </div>
<div class="line"><a name="l01122"></a><span class="lineno"> 1122</span>  <span class="keyword">const</span> Index outer = IsRowMajor ? row : col;</div>
<div class="line"><a name="l01123"></a><span class="lineno"> 1123</span>  <span class="keyword">const</span> Index inner = IsRowMajor ? col : row;</div>
<div class="line"><a name="l01124"></a><span class="lineno"> 1124</span> </div>
<div class="line"><a name="l01125"></a><span class="lineno"> 1125</span>  Index room = m_outerIndex[outer+1] - m_outerIndex[outer];</div>
<div class="line"><a name="l01126"></a><span class="lineno"> 1126</span>  Index innerNNZ = m_innerNonZeros[outer];</div>
<div class="line"><a name="l01127"></a><span class="lineno"> 1127</span>  <span class="keywordflow">if</span>(innerNNZ>=room)</div>
<div class="line"><a name="l01128"></a><span class="lineno"> 1128</span>  {</div>
<div class="line"><a name="l01129"></a><span class="lineno"> 1129</span>  <span class="comment">// this inner vector is full, we need to reallocate the whole buffer :(</span></div>
<div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>  reserve(SingletonVector(outer,std::max<Index>(2,innerNNZ)));</div>
<div class="line"><a name="l01131"></a><span class="lineno"> 1131</span>  }</div>
<div class="line"><a name="l01132"></a><span class="lineno"> 1132</span> </div>
<div class="line"><a name="l01133"></a><span class="lineno"> 1133</span>  Index startId = m_outerIndex[outer];</div>
<div class="line"><a name="l01134"></a><span class="lineno"> 1134</span>  Index p = startId + m_innerNonZeros[outer];</div>
<div class="line"><a name="l01135"></a><span class="lineno"> 1135</span>  <span class="keywordflow">while</span> ( (p > startId) && (m_data.index(p-1) > inner) )</div>
<div class="line"><a name="l01136"></a><span class="lineno"> 1136</span>  {</div>
<div class="line"><a name="l01137"></a><span class="lineno"> 1137</span>  m_data.index(p) = m_data.index(p-1);</div>
<div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>  m_data.value(p) = m_data.value(p-1);</div>
<div class="line"><a name="l01139"></a><span class="lineno"> 1139</span>  --p;</div>
<div class="line"><a name="l01140"></a><span class="lineno"> 1140</span>  }</div>
<div class="line"><a name="l01141"></a><span class="lineno"> 1141</span>  eigen_assert((p<=startId || m_data.index(p-1)!=inner) && <span class="stringliteral">"you cannot insert an element that already exist, you must call coeffRef to this end"</span>);</div>
<div class="line"><a name="l01142"></a><span class="lineno"> 1142</span> </div>
<div class="line"><a name="l01143"></a><span class="lineno"> 1143</span>  m_innerNonZeros[outer]++;</div>
<div class="line"><a name="l01144"></a><span class="lineno"> 1144</span> </div>
<div class="line"><a name="l01145"></a><span class="lineno"> 1145</span>  m_data.index(p) = inner;</div>
<div class="line"><a name="l01146"></a><span class="lineno"> 1146</span>  <span class="keywordflow">return</span> (m_data.value(p) = 0);</div>
<div class="line"><a name="l01147"></a><span class="lineno"> 1147</span> }</div>
<div class="line"><a name="l01148"></a><span class="lineno"> 1148</span> </div>
<div class="line"><a name="l01149"></a><span class="lineno"> 1149</span> <span class="keyword">template</span><<span class="keyword">typename</span> _Scalar, <span class="keywordtype">int</span> _Options, <span class="keyword">typename</span> _Index></div>
<div class="line"><a name="l01150"></a><span class="lineno"> 1150</span> EIGEN_DONT_INLINE <span class="keyword">typename</span> SparseMatrix<_Scalar,_Options,_Index>::Scalar& SparseMatrix<_Scalar,_Options,_Index>::insertCompressed(Index row, Index col)</div>
<div class="line"><a name="l01151"></a><span class="lineno"> 1151</span> {</div>
<div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>  eigen_assert(isCompressed());</div>
<div class="line"><a name="l01153"></a><span class="lineno"> 1153</span> </div>
<div class="line"><a name="l01154"></a><span class="lineno"> 1154</span>  <span class="keyword">const</span> Index outer = IsRowMajor ? row : col;</div>
<div class="line"><a name="l01155"></a><span class="lineno"> 1155</span>  <span class="keyword">const</span> Index inner = IsRowMajor ? col : row;</div>
<div class="line"><a name="l01156"></a><span class="lineno"> 1156</span> </div>
<div class="line"><a name="l01157"></a><span class="lineno"> 1157</span>  Index previousOuter = outer;</div>
<div class="line"><a name="l01158"></a><span class="lineno"> 1158</span>  <span class="keywordflow">if</span> (m_outerIndex[outer+1]==0)</div>
<div class="line"><a name="l01159"></a><span class="lineno"> 1159</span>  {</div>
<div class="line"><a name="l01160"></a><span class="lineno"> 1160</span>  <span class="comment">// we start a new inner vector</span></div>
<div class="line"><a name="l01161"></a><span class="lineno"> 1161</span>  <span class="keywordflow">while</span> (previousOuter>=0 && m_outerIndex[previousOuter]==0)</div>
<div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>  {</div>
<div class="line"><a name="l01163"></a><span class="lineno"> 1163</span>  m_outerIndex[previousOuter] = <span class="keyword">static_cast<</span>Index<span class="keyword">></span>(m_data.size());</div>
<div class="line"><a name="l01164"></a><span class="lineno"> 1164</span>  --previousOuter;</div>
<div class="line"><a name="l01165"></a><span class="lineno"> 1165</span>  }</div>
<div class="line"><a name="l01166"></a><span class="lineno"> 1166</span>  m_outerIndex[outer+1] = m_outerIndex[outer];</div>
<div class="line"><a name="l01167"></a><span class="lineno"> 1167</span>  }</div>
<div class="line"><a name="l01168"></a><span class="lineno"> 1168</span> </div>
<div class="line"><a name="l01169"></a><span class="lineno"> 1169</span>  <span class="comment">// here we have to handle the tricky case where the outerIndex array</span></div>
<div class="line"><a name="l01170"></a><span class="lineno"> 1170</span>  <span class="comment">// starts with: [ 0 0 0 0 0 1 ...] and we are inserted in, e.g.,</span></div>
<div class="line"><a name="l01171"></a><span class="lineno"> 1171</span>  <span class="comment">// the 2nd inner vector...</span></div>
<div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>  <span class="keywordtype">bool</span> isLastVec = (!(previousOuter==-1 && m_data.size()!=0))</div>
<div class="line"><a name="l01173"></a><span class="lineno"> 1173</span>  && (size_t(m_outerIndex[outer+1]) == m_data.size());</div>
<div class="line"><a name="l01174"></a><span class="lineno"> 1174</span> </div>
<div class="line"><a name="l01175"></a><span class="lineno"> 1175</span>  <span class="keywordtype">size_t</span> startId = m_outerIndex[outer];</div>
<div class="line"><a name="l01176"></a><span class="lineno"> 1176</span>  <span class="comment">// FIXME let's make sure sizeof(long int) == sizeof(size_t)</span></div>
<div class="line"><a name="l01177"></a><span class="lineno"> 1177</span>  <span class="keywordtype">size_t</span> p = m_outerIndex[outer+1];</div>
<div class="line"><a name="l01178"></a><span class="lineno"> 1178</span>  ++m_outerIndex[outer+1];</div>
<div class="line"><a name="l01179"></a><span class="lineno"> 1179</span> </div>
<div class="line"><a name="l01180"></a><span class="lineno"> 1180</span>  <span class="keywordtype">float</span> reallocRatio = 1;</div>
<div class="line"><a name="l01181"></a><span class="lineno"> 1181</span>  <span class="keywordflow">if</span> (m_data.allocatedSize()<=m_data.size())</div>
<div class="line"><a name="l01182"></a><span class="lineno"> 1182</span>  {</div>
<div class="line"><a name="l01183"></a><span class="lineno"> 1183</span>  <span class="comment">// if there is no preallocated memory, let's reserve a minimum of 32 elements</span></div>
<div class="line"><a name="l01184"></a><span class="lineno"> 1184</span>  <span class="keywordflow">if</span> (m_data.size()==0)</div>
<div class="line"><a name="l01185"></a><span class="lineno"> 1185</span>  {</div>
<div class="line"><a name="l01186"></a><span class="lineno"> 1186</span>  m_data.reserve(32);</div>
<div class="line"><a name="l01187"></a><span class="lineno"> 1187</span>  }</div>
<div class="line"><a name="l01188"></a><span class="lineno"> 1188</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l01189"></a><span class="lineno"> 1189</span>  {</div>
<div class="line"><a name="l01190"></a><span class="lineno"> 1190</span>  <span class="comment">// we need to reallocate the data, to reduce multiple reallocations</span></div>
<div class="line"><a name="l01191"></a><span class="lineno"> 1191</span>  <span class="comment">// we use a smart resize algorithm based on the current filling ratio</span></div>
<div class="line"><a name="l01192"></a><span class="lineno"> 1192</span>  <span class="comment">// in addition, we use float to avoid integers overflows</span></div>
<div class="line"><a name="l01193"></a><span class="lineno"> 1193</span>  <span class="keywordtype">float</span> nnzEstimate = float(m_outerIndex[outer])*float(m_outerSize)/float(outer+1);</div>
<div class="line"><a name="l01194"></a><span class="lineno"> 1194</span>  reallocRatio = (nnzEstimate-float(m_data.size()))/float(m_data.size());</div>
<div class="line"><a name="l01195"></a><span class="lineno"> 1195</span>  <span class="comment">// furthermore we bound the realloc ratio to:</span></div>
<div class="line"><a name="l01196"></a><span class="lineno"> 1196</span>  <span class="comment">// 1) reduce multiple minor realloc when the matrix is almost filled</span></div>
<div class="line"><a name="l01197"></a><span class="lineno"> 1197</span>  <span class="comment">// 2) avoid to allocate too much memory when the matrix is almost empty</span></div>
<div class="line"><a name="l01198"></a><span class="lineno"> 1198</span>  reallocRatio = (std::min)((std::max)(reallocRatio,1.5f),8.f);</div>
<div class="line"><a name="l01199"></a><span class="lineno"> 1199</span>  }</div>
<div class="line"><a name="l01200"></a><span class="lineno"> 1200</span>  }</div>
<div class="line"><a name="l01201"></a><span class="lineno"> 1201</span>  m_data.resize(m_data.size()+1,reallocRatio);</div>
<div class="line"><a name="l01202"></a><span class="lineno"> 1202</span> </div>
<div class="line"><a name="l01203"></a><span class="lineno"> 1203</span>  <span class="keywordflow">if</span> (!isLastVec)</div>
<div class="line"><a name="l01204"></a><span class="lineno"> 1204</span>  {</div>
<div class="line"><a name="l01205"></a><span class="lineno"> 1205</span>  <span class="keywordflow">if</span> (previousOuter==-1)</div>
<div class="line"><a name="l01206"></a><span class="lineno"> 1206</span>  {</div>
<div class="line"><a name="l01207"></a><span class="lineno"> 1207</span>  <span class="comment">// oops wrong guess.</span></div>
<div class="line"><a name="l01208"></a><span class="lineno"> 1208</span>  <span class="comment">// let's correct the outer offsets</span></div>
<div class="line"><a name="l01209"></a><span class="lineno"> 1209</span>  <span class="keywordflow">for</span> (Index k=0; k<=(outer+1); ++k)</div>
<div class="line"><a name="l01210"></a><span class="lineno"> 1210</span>  m_outerIndex[k] = 0;</div>
<div class="line"><a name="l01211"></a><span class="lineno"> 1211</span>  Index k=outer+1;</div>
<div class="line"><a name="l01212"></a><span class="lineno"> 1212</span>  <span class="keywordflow">while</span>(m_outerIndex[k]==0)</div>
<div class="line"><a name="l01213"></a><span class="lineno"> 1213</span>  m_outerIndex[k++] = 1;</div>
<div class="line"><a name="l01214"></a><span class="lineno"> 1214</span>  <span class="keywordflow">while</span> (k<=m_outerSize && m_outerIndex[k]!=0)</div>
<div class="line"><a name="l01215"></a><span class="lineno"> 1215</span>  m_outerIndex[k++]++;</div>
<div class="line"><a name="l01216"></a><span class="lineno"> 1216</span>  p = 0;</div>
<div class="line"><a name="l01217"></a><span class="lineno"> 1217</span>  --k;</div>
<div class="line"><a name="l01218"></a><span class="lineno"> 1218</span>  k = m_outerIndex[k]-1;</div>
<div class="line"><a name="l01219"></a><span class="lineno"> 1219</span>  <span class="keywordflow">while</span> (k>0)</div>
<div class="line"><a name="l01220"></a><span class="lineno"> 1220</span>  {</div>
<div class="line"><a name="l01221"></a><span class="lineno"> 1221</span>  m_data.index(k) = m_data.index(k-1);</div>
<div class="line"><a name="l01222"></a><span class="lineno"> 1222</span>  m_data.value(k) = m_data.value(k-1);</div>
<div class="line"><a name="l01223"></a><span class="lineno"> 1223</span>  k--;</div>
<div class="line"><a name="l01224"></a><span class="lineno"> 1224</span>  }</div>
<div class="line"><a name="l01225"></a><span class="lineno"> 1225</span>  }</div>
<div class="line"><a name="l01226"></a><span class="lineno"> 1226</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l01227"></a><span class="lineno"> 1227</span>  {</div>
<div class="line"><a name="l01228"></a><span class="lineno"> 1228</span>  <span class="comment">// we are not inserting into the last inner vec</span></div>
<div class="line"><a name="l01229"></a><span class="lineno"> 1229</span>  <span class="comment">// update outer indices:</span></div>
<div class="line"><a name="l01230"></a><span class="lineno"> 1230</span>  Index j = outer+2;</div>
<div class="line"><a name="l01231"></a><span class="lineno"> 1231</span>  <span class="keywordflow">while</span> (j<=m_outerSize && m_outerIndex[j]!=0)</div>
<div class="line"><a name="l01232"></a><span class="lineno"> 1232</span>  m_outerIndex[j++]++;</div>
<div class="line"><a name="l01233"></a><span class="lineno"> 1233</span>  --j;</div>
<div class="line"><a name="l01234"></a><span class="lineno"> 1234</span>  <span class="comment">// shift data of last vecs:</span></div>
<div class="line"><a name="l01235"></a><span class="lineno"> 1235</span>  Index k = m_outerIndex[j]-1;</div>
<div class="line"><a name="l01236"></a><span class="lineno"> 1236</span>  <span class="keywordflow">while</span> (k>=Index(p))</div>
<div class="line"><a name="l01237"></a><span class="lineno"> 1237</span>  {</div>
<div class="line"><a name="l01238"></a><span class="lineno"> 1238</span>  m_data.index(k) = m_data.index(k-1);</div>
<div class="line"><a name="l01239"></a><span class="lineno"> 1239</span>  m_data.value(k) = m_data.value(k-1);</div>
<div class="line"><a name="l01240"></a><span class="lineno"> 1240</span>  k--;</div>
<div class="line"><a name="l01241"></a><span class="lineno"> 1241</span>  }</div>
<div class="line"><a name="l01242"></a><span class="lineno"> 1242</span>  }</div>
<div class="line"><a name="l01243"></a><span class="lineno"> 1243</span>  }</div>
<div class="line"><a name="l01244"></a><span class="lineno"> 1244</span> </div>
<div class="line"><a name="l01245"></a><span class="lineno"> 1245</span>  <span class="keywordflow">while</span> ( (p > startId) && (m_data.index(p-1) > inner) )</div>
<div class="line"><a name="l01246"></a><span class="lineno"> 1246</span>  {</div>
<div class="line"><a name="l01247"></a><span class="lineno"> 1247</span>  m_data.index(p) = m_data.index(p-1);</div>
<div class="line"><a name="l01248"></a><span class="lineno"> 1248</span>  m_data.value(p) = m_data.value(p-1);</div>
<div class="line"><a name="l01249"></a><span class="lineno"> 1249</span>  --p;</div>
<div class="line"><a name="l01250"></a><span class="lineno"> 1250</span>  }</div>
<div class="line"><a name="l01251"></a><span class="lineno"> 1251</span> </div>
<div class="line"><a name="l01252"></a><span class="lineno"> 1252</span>  m_data.index(p) = inner;</div>
<div class="line"><a name="l01253"></a><span class="lineno"> 1253</span>  <span class="keywordflow">return</span> (m_data.value(p) = 0);</div>
<div class="line"><a name="l01254"></a><span class="lineno"> 1254</span> }</div>
<div class="line"><a name="l01255"></a><span class="lineno"> 1255</span> </div>
<div class="line"><a name="l01256"></a><span class="lineno"> 1256</span> } <span class="comment">// end namespace Eigen</span></div>
<div class="line"><a name="l01257"></a><span class="lineno"> 1257</span> </div>
<div class="line"><a name="l01258"></a><span class="lineno"> 1258</span> <span class="preprocessor">#endif // EIGEN_SPARSEMATRIX_H</span></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_a5552abd83dbd03c85cea6d61fd8875a5"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#a5552abd83dbd03c85cea6d61fd8875a5">Eigen::SparseMatrix::rows</a></div><div class="ttdeci">Index rows() const </div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:119</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_aa6555eda454250b6cc9cd42e1ba137a1"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#aa6555eda454250b6cc9cd42e1ba137a1">Eigen::SparseMatrix::outerIndexPtr</a></div><div class="ttdeci">Index * outerIndexPtr()</div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:153</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_afacbe8d905dd8b00eb52e72c2e938aed"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#afacbe8d905dd8b00eb52e72c2e938aed">Eigen::SparseMatrix::coeff</a></div><div class="ttdeci">Scalar coeff(Index row, Index col) const </div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:171</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_aaca1908a5ec508a25ff0a8bca803e5f3"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#aaca1908a5ec508a25ff0a8bca803e5f3">Eigen::SparseMatrix::cols</a></div><div class="ttdeci">Index cols() const </div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:121</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_ac20f895ce9b73fa7447196855c0d0758"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#ac20f895ce9b73fa7447196855c0d0758">Eigen::SparseMatrix::resize</a></div><div class="ttdeci">void resize(Index rows, Index cols)</div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:596</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_aa44fe8c6de1533193f303ab7c4d43692"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#aa44fe8c6de1533193f303ab7c4d43692">Eigen::SparseMatrix::valuePtr</a></div><div class="ttdeci">const Scalar * valuePtr() const </div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:131</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_a85584f416c9e3a843fdafa2ef8dda195"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#a85584f416c9e3a843fdafa2ef8dda195">Eigen::SparseMatrix::conservativeResize</a></div><div class="ttdeci">void conservativeResize(Index rows, Index cols)</div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:532</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html">Eigen::SparseMatrix</a></div><div class="ttdoc">A versatible sparse matrix representation. </div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:85</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_a4549e80dac9fd4f4c9ecee00814ecaa5"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#a4549e80dac9fd4f4c9ecee00814ecaa5">Eigen::SparseMatrix::isCompressed</a></div><div class="ttdeci">bool isCompressed() const </div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:116</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="classEigen_1_1SparseMatrixBase_html_aa8716d44f51321072ee5c88665c28813"><div class="ttname"><a href="classEigen_1_1SparseMatrixBase.html#aa8716d44f51321072ee5c88665c28813">Eigen::SparseMatrixBase< SparseMatrix< _Scalar, _Options, _Index > >::row</a></div><div class="ttdeci">RowXpr row(Index i)</div><div class="ttdef"><b>Definition:</b> SparseMatrixBase.h:726</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_aa9767c7ef9fea17a585e4ad45d2d4ad3"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#aa9767c7ef9fea17a585e4ad45d2d4ad3">Eigen::SparseMatrix::diagonal</a></div><div class="ttdeci">const Diagonal< const SparseMatrix > diagonal() const </div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:626</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_a396133d952d4698941fe010c7ec6f72b"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#a396133d952d4698941fe010c7ec6f72b">Eigen::SparseMatrix::swap</a></div><div class="ttdeci">void swap(SparseMatrix &other)</div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:684</div></div>
<div class="ttc" id="classEigen_1_1Map_html"><div class="ttname"><a href="classEigen_1_1Map.html">Eigen::Map</a></div><div class="ttdoc">A matrix or vector expression mapping an existing array of data. </div><div class="ttdef"><b>Definition:</b> Map.h:104</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_a400288628e3257a6216b04ba4b2762c7"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#a400288628e3257a6216b04ba4b2762c7">Eigen::SparseMatrix::SparseMatrix</a></div><div class="ttdeci">SparseMatrix(Index rows, Index cols)</div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:637</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_a5daf3de834937aeaa7ebc7f18cea746b"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#a5daf3de834937aeaa7ebc7f18cea746b">Eigen::SparseMatrix::makeCompressed</a></div><div class="ttdeci">void makeCompressed()</div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:449</div></div>
<div class="ttc" id="classEigen_1_1SparseSelfAdjointView_html"><div class="ttname"><a href="classEigen_1_1SparseSelfAdjointView.html">Eigen::SparseSelfAdjointView</a></div><div class="ttdoc">Pseudo expression to manipulate a triangular sparse matrix as a selfadjoint matrix. </div><div class="ttdef"><b>Definition:</b> SparseSelfAdjointView.h:49</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_a2ae4fbae821c9f97e0710f5cb3b73c91"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#a2ae4fbae821c9f97e0710f5cb3b73c91">Eigen::SparseMatrix::innerNonZeroPtr</a></div><div class="ttdeci">const Index * innerNonZeroPtr() const </div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:158</div></div>
<div class="ttc" id="structEigen_1_1NumTraits_html"><div class="ttname"><a href="structEigen_1_1NumTraits.html">Eigen::NumTraits</a></div><div class="ttdoc">Holds information about the various numeric (i.e. scalar) types allowed by Eigen. ...</div><div class="ttdef"><b>Definition:</b> NumTraits.h:88</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="classEigen_1_1SparseMatrix_html_a4cbbda70dd9a9a925d749e4258fecb5b"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#a4cbbda70dd9a9a925d749e4258fecb5b">Eigen::SparseMatrix::outerIndexPtr</a></div><div class="ttdeci">const Index * outerIndexPtr() const </div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:149</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_a4386da578a119f7b500d0b22cab2de0e"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#a4386da578a119f7b500d0b22cab2de0e">Eigen::SparseMatrix::coeffRef</a></div><div class="ttdeci">Scalar & coeffRef(Index row, Index col)</div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:189</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="structEigen_1_1EigenBase_html"><div class="ttname"><a href="structEigen_1_1EigenBase.html">Eigen::EigenBase</a></div><div class="ttdef"><b>Definition:</b> EigenBase.h:26</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_a382e6ad7e6721b121e510959e1011be3"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#a382e6ad7e6721b121e510959e1011be3">Eigen::SparseMatrix::setIdentity</a></div><div class="ttdeci">void setIdentity()</div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:695</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_a5e623b88f053da805a943ddbfd8c90a4"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#a5e623b88f053da805a943ddbfd8c90a4">Eigen::SparseMatrix::innerNonZeroPtr</a></div><div class="ttdeci">Index * innerNonZeroPtr()</div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:162</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_abe29bfb5f2d88cf2a50ffb577ec6f0a4"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#abe29bfb5f2d88cf2a50ffb577ec6f0a4">Eigen::SparseMatrix::nonZeros</a></div><div class="ttdeci">Index nonZeros() const </div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:246</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_1EigenBase_html_aa84222add803ad7c9db07dd4dd91d5d9"><div class="ttname"><a href="structEigen_1_1EigenBase.html#aa84222add803ad7c9db07dd4dd91d5d9">Eigen::EigenBase::derived</a></div><div class="ttdeci">Derived & derived()</div><div class="ttdef"><b>Definition:</b> EigenBase.h:34</div></div>
<div class="ttc" id="group__flags_html_ga64e21b7543bdedce27f013512a4403a3"><div class="ttname"><a href="group__flags.html#ga64e21b7543bdedce27f013512a4403a3">Eigen::LvalueBit</a></div><div class="ttdeci">const unsigned int LvalueBit</div><div class="ttdef"><b>Definition:</b> Constants.h:131</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_adb330ac5ce39e4e90e129a7dc2861f98"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#adb330ac5ce39e4e90e129a7dc2861f98">Eigen::SparseMatrix::SparseMatrix</a></div><div class="ttdeci">SparseMatrix(const SparseSelfAdjointView< OtherDerived, UpLo > &other)</div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:657</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_a631add606d943913aa2dbda84c0d4d20"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#a631add606d943913aa2dbda84c0d4d20">Eigen::SparseMatrix::SparseMatrix</a></div><div class="ttdeci">SparseMatrix(const SparseMatrix &other)</div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:665</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrixBase_html_a76f5bc8a03ec105ab4be1f2b91b7b5d5"><div class="ttname"><a href="classEigen_1_1SparseMatrixBase.html#a76f5bc8a03ec105ab4be1f2b91b7b5d5">Eigen::SparseMatrixBase< SparseMatrix< _Scalar, _Options, _Index > >::size</a></div><div class="ttdeci">Index size() const</div><div class="ttdef"><b>Definition:</b> SparseMatrixBase.h:155</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_ac5204064425a0d6c87688ed48dd1d745"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#ac5204064425a0d6c87688ed48dd1d745">Eigen::SparseMatrix::innerIndexPtr</a></div><div class="ttdeci">Index * innerIndexPtr()</div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:144</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_a1cbf43137ff55b8164ec8fc5e4da9deb"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#a1cbf43137ff55b8164ec8fc5e4da9deb">Eigen::SparseMatrix::insert</a></div><div class="ttdeci">Scalar & insert(Index row, Index col)</div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:220</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_af080d3d3f82e0d4391f19af22a5eedb8"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#af080d3d3f82e0d4391f19af22a5eedb8">Eigen::SparseMatrix::outerSize</a></div><div class="ttdeci">Index outerSize() const </div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:126</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_ace8ac898d02532cafa313c6351a74468"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#ace8ac898d02532cafa313c6351a74468">Eigen::SparseMatrix::SparseMatrix</a></div><div class="ttdeci">SparseMatrix(const ReturnByValue< OtherDerived > &other)</div><div class="ttdoc">Copy constructor with in-place evaluation. </div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:674</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_a79446a803c1bed8b17c8ac937d07be39"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#a79446a803c1bed8b17c8ac937d07be39">Eigen::SparseMatrix::SparseMatrix</a></div><div class="ttdeci">SparseMatrix()</div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:629</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_aba0104120c59e6c59af1932a8eaaa10e"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#aba0104120c59e6c59af1932a8eaaa10e">Eigen::SparseMatrix::~SparseMatrix</a></div><div class="ttdeci">~SparseMatrix()</div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:783</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_a5bcf3187e372ff7cea1e8f61152ae49b"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#a5bcf3187e372ff7cea1e8f61152ae49b">Eigen::SparseMatrix::setFromTriplets</a></div><div class="ttdeci">void setFromTriplets(const InputIterators &begin, const InputIterators &end)</div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:1010</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_ab42390876ea7ef3fe4845b936c281c99"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#ab42390876ea7ef3fe4845b936c281c99">Eigen::SparseMatrix::SparseMatrix</a></div><div class="ttdeci">SparseMatrix(const SparseMatrixBase< OtherDerived > &other)</div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:646</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_aa4592d803de19800d8fb3cb07a5036b6"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#aa4592d803de19800d8fb3cb07a5036b6">Eigen::SparseMatrix::prune</a></div><div class="ttdeci">void prune(const Scalar &reference, const RealScalar &epsilon=NumTraits< RealScalar >::dummy_precision())</div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:490</div></div>
<div class="ttc" id="group__flags_html_ga7bd49e7b260e869e10fb9dc4fd081a85"><div class="ttname"><a href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">Eigen::RowMajorBit</a></div><div class="ttdeci">const unsigned int RowMajorBit</div><div class="ttdef"><b>Definition:</b> Constants.h:53</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_a68fdb1898144415299720626410f021d"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#a68fdb1898144415299720626410f021d">Eigen::SparseMatrix::valuePtr</a></div><div class="ttdeci">Scalar * valuePtr()</div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:135</div></div>
<div class="ttc" id="classEigen_1_1Diagonal_html"><div class="ttname"><a href="classEigen_1_1Diagonal.html">Eigen::Diagonal</a></div><div class="ttdoc">Expression of a diagonal/subdiagonal/superdiagonal in a matrix. </div><div class="ttdef"><b>Definition:</b> Diagonal.h:64</div></div>
<div class="ttc" id="classEigen_1_1PlainObjectBase_html_afbbb33d14fe7fb9683019a39ce1c659d"><div class="ttname"><a href="classEigen_1_1PlainObjectBase.html#afbbb33d14fe7fb9683019a39ce1c659d">Eigen::PlainObjectBase::resize</a></div><div class="ttdeci">void resize(Index nbRows, Index nbCols)</div><div class="ttdef"><b>Definition:</b> PlainObjectBase.h:232</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_acd9791e1914ad8761992e16032d49c54"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#acd9791e1914ad8761992e16032d49c54">Eigen::SparseMatrix::innerSize</a></div><div class="ttdeci">Index innerSize() const </div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:124</div></div>
<div class="ttc" id="group__matrixtypedefs_html_ga0312eb421909d32007ae4a55b9f22abb"><div class="ttname"><a href="group__matrixtypedefs.html#ga0312eb421909d32007ae4a55b9f22abb">Eigen::VectorXi</a></div><div class="ttdeci">Matrix< int, Dynamic, 1 > VectorXi</div><div class="ttdef"><b>Definition:</b> Matrix.h:393</div></div>
<div class="ttc" id="classEigen_1_1Matrix_html"><div class="ttname"><a href="classEigen_1_1Matrix.html">Eigen::Matrix< int, Dynamic, 1 ></a></div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_a5dc6018e77e65abd29416138c6bd67d4"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#a5dc6018e77e65abd29416138c6bd67d4">Eigen::SparseMatrix::reserve</a></div><div class="ttdeci">void reserve(Index reserveSize)</div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:256</div></div>
<div class="ttc" id="classEigen_1_1MappedSparseMatrix_html"><div class="ttname"><a href="classEigen_1_1MappedSparseMatrix.html">Eigen::MappedSparseMatrix</a></div><div class="ttdoc">Sparse matrix. </div><div class="ttdef"><b>Definition:</b> MappedSparseMatrix.h:31</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_a5ef2ab1570917494405e20d95b606684"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#a5ef2ab1570917494405e20d95b606684">Eigen::SparseMatrix::uncompress</a></div><div class="ttdeci">void uncompress()</div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:478</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_a47affd1a10b589811fc4828c1a2e0c6d"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#a47affd1a10b589811fc4828c1a2e0c6d">Eigen::SparseMatrix::setZero</a></div><div class="ttdeci">void setZero()</div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:237</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_a828e04dedd8347ad1c463817b2e5dbed"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#a828e04dedd8347ad1c463817b2e5dbed">Eigen::SparseMatrix::innerIndexPtr</a></div><div class="ttdeci">const Index * innerIndexPtr() const </div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:140</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrixBase_html_a58c77695de3b33405f01f2fdf3dc389d"><div class="ttname"><a href="classEigen_1_1SparseMatrixBase.html#a58c77695de3b33405f01f2fdf3dc389d">Eigen::SparseMatrixBase< SparseMatrix< _Scalar, _Options, _Index > >::col</a></div><div class="ttdeci">ColXpr col(Index i)</div><div class="ttdef"><b>Definition:</b> SparseMatrixBase.h:709</div></div>
<div class="ttc" id="classEigen_1_1PlainObjectBase_html_a04abe84a9a894de335a232681d9a0722"><div class="ttname"><a href="classEigen_1_1PlainObjectBase.html#a04abe84a9a894de335a232681d9a0722">Eigen::PlainObjectBase::setZero</a></div><div class="ttdeci">Derived & setZero(Index size)</div><div class="ttdef"><b>Definition:</b> CwiseNullaryOp.h:515</div></div>
<div class="ttc" id="classEigen_1_1SparseMatrix_html_a2b7d855d3304b9768e51eb8890f69da1"><div class="ttname"><a href="classEigen_1_1SparseMatrix.html#a2b7d855d3304b9768e51eb8890f69da1">Eigen::SparseMatrix::prune</a></div><div class="ttdeci">void prune(const KeepFunc &keep=KeepFunc())</div><div class="ttdef"><b>Definition:</b> SparseMatrix.h:503</div></div>
</div><!-- fragment --></div><!-- contents -->
</div><!-- doc-content -->
<!-- start footer part -->
<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
<ul>
<li class="navelem"><a class="el" href="dir_e49d68e3078f12dfcf157021597ad168.html">Eigen</a></li><li class="navelem"><a class="el" href="dir_64b228556dc7f9fe757d43bb57fbfc24.html">src</a></li><li class="navelem"><a class="el" href="dir_b9d06f6d5303777cc8c118a3df19eb22.html">SparseCore</a></li><li class="navelem"><b>SparseMatrix.h</b></li>
<li class="footer">Generated on Mon Oct 28 2013 11:04:25 for Eigen by
<a href="http://www.doxygen.org/index.html">
<img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.5 </li>
</ul>
</div>
<!-- Piwik -->
<!--
<script type="text/javascript">
var pkBaseURL = (("https:" == document.location.protocol) ? "https://stats.sylphide-consulting.com/piwik/" : "http://stats.sylphide-consulting.com/piwik/");
document.write(unescape("%3Cscript src='" + pkBaseURL + "piwik.js' type='text/javascript'%3E%3C/script%3E"));
</script><script type="text/javascript">
try {
var piwikTracker = Piwik.getTracker(pkBaseURL + "piwik.php", 20);
piwikTracker.trackPageView();
piwikTracker.enableLinkTracking();
} catch( err ) {}
</script><noscript><p><img src="http://stats.sylphide-consulting.com/piwik/piwik.php?idsite=20" style="border:0" alt="" /></p></noscript>
-->
<!-- End Piwik Tracking Code -->
</body>
</html>
