Sophie

Sophie

distrib > Mageia > 4 > x86_64 > by-pkgid > 99cb5ede6a5329071fbeecc8218deb35 > files > 156

eigen3-doc-3.2-3.mga4.noarch.rpm

<!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: SelfadjointMatrixMatrix.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>
   &#160;<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('SelfadjointMatrixMatrix_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">&#160;</span>All</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(1)"><span class="SelectionMark">&#160;</span>Classes</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(2)"><span class="SelectionMark">&#160;</span>Namespaces</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(3)"><span class="SelectionMark">&#160;</span>Functions</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(4)"><span class="SelectionMark">&#160;</span>Variables</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(5)"><span class="SelectionMark">&#160;</span>Typedefs</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(6)"><span class="SelectionMark">&#160;</span>Enumerations</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(7)"><span class="SelectionMark">&#160;</span>Enumerator</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(8)"><span class="SelectionMark">&#160;</span>Friends</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(9)"><span class="SelectionMark">&#160;</span>Groups</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(10)"><span class="SelectionMark">&#160;</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">SelfadjointMatrixMatrix.h</div>  </div>
</div><!--header-->
<div class="contents">
<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<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>&#160;<span class="comment">// for linear algebra.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">// Copyright (C) 2009 Gael Guennebaud &lt;gael.guennebaud@inria.fr&gt;</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<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>&#160;<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>&#160;<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>&#160;</div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor">#ifndef EIGEN_SELFADJOINT_MATRIX_MATRIX_H</span></div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor"></span><span class="preprocessor">#define EIGEN_SELFADJOINT_MATRIX_MATRIX_H</span></div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="keyword">namespace </span>Eigen { </div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;</div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;</div>
<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment">// pack a selfadjoint block diagonal for use with the gebp_kernel</span></div>
<div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Scalar, <span class="keyword">typename</span> Index, <span class="keywordtype">int</span> Pack1, <span class="keywordtype">int</span> Pack2, <span class="keywordtype">int</span> StorageOrder&gt;</div>
<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="keyword">struct </span>symm_pack_lhs</div>
<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;{</div>
<div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;  <span class="keyword">template</span>&lt;<span class="keywordtype">int</span> BlockRows&gt; <span class="keyword">inline</span></div>
<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;  <span class="keywordtype">void</span> pack(Scalar* blockA, <span class="keyword">const</span> const_blas_data_mapper&lt;Scalar,Index,StorageOrder&gt;&amp; lhs, Index cols, Index i, Index&amp; count)</div>
<div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;  {</div>
<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;    <span class="comment">// normal copy</span></div>
<div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;    <span class="keywordflow">for</span>(Index k=0; k&lt;i; k++)</div>
<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;      <span class="keywordflow">for</span>(Index w=0; w&lt;BlockRows; w++)</div>
<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;        blockA[count++] = lhs(i+w,k);           <span class="comment">// normal</span></div>
<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;    <span class="comment">// symmetric copy</span></div>
<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;    Index h = 0;</div>
<div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;    <span class="keywordflow">for</span>(Index k=i; k&lt;i+BlockRows; k++)</div>
<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;    {</div>
<div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;      <span class="keywordflow">for</span>(Index w=0; w&lt;h; w++)</div>
<div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;        blockA[count++] = numext::conj(lhs(k, i+w)); <span class="comment">// transposed</span></div>
<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;</div>
<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;      blockA[count++] = numext::real(lhs(k,k));   <span class="comment">// real (diagonal)</span></div>
<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;</div>
<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;      <span class="keywordflow">for</span>(Index w=h+1; w&lt;BlockRows; w++)</div>
<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;        blockA[count++] = lhs(i+w, k);          <span class="comment">// normal</span></div>
<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;      ++h;</div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;    }</div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;    <span class="comment">// transposed copy</span></div>
<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;    <span class="keywordflow">for</span>(Index k=i+BlockRows; k&lt;cols; k++)</div>
<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;      <span class="keywordflow">for</span>(Index w=0; w&lt;BlockRows; w++)</div>
<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;        blockA[count++] = numext::conj(lhs(k, i+w)); <span class="comment">// transposed</span></div>
<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;  }</div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;  <span class="keywordtype">void</span> operator()(Scalar* blockA, <span class="keyword">const</span> Scalar* _lhs, Index lhsStride, Index cols, Index rows)</div>
<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;  {</div>
<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;    const_blas_data_mapper&lt;Scalar,Index,StorageOrder&gt; lhs(_lhs,lhsStride);</div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;    Index count = 0;</div>
<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;    Index peeled_mc = (rows/Pack1)*Pack1;</div>
<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;    <span class="keywordflow">for</span>(Index i=0; i&lt;peeled_mc; i+=Pack1)</div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;    {</div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;      pack&lt;Pack1&gt;(blockA, lhs, cols, i, count);</div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    }</div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;</div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;    <span class="keywordflow">if</span>(rows-peeled_mc&gt;=Pack2)</div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;    {</div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;      pack&lt;Pack2&gt;(blockA, lhs, cols, peeled_mc, count);</div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;      peeled_mc += Pack2;</div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;    }</div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;</div>
<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;    <span class="comment">// do the same with mr==1</span></div>
<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;    <span class="keywordflow">for</span>(Index i=peeled_mc; i&lt;rows; i++)</div>
<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;    {</div>
<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;      <span class="keywordflow">for</span>(Index k=0; k&lt;i; k++)</div>
<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;        blockA[count++] = lhs(i, k);              <span class="comment">// normal</span></div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;      blockA[count++] = numext::real(lhs(i, i));       <span class="comment">// real (diagonal)</span></div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;</div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;      <span class="keywordflow">for</span>(Index k=i+1; k&lt;cols; k++)</div>
<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;        blockA[count++] = numext::conj(lhs(k, i));     <span class="comment">// transposed</span></div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;    }</div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;  }</div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;};</div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;</div>
<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Scalar, <span class="keyword">typename</span> Index, <span class="keywordtype">int</span> nr, <span class="keywordtype">int</span> StorageOrder&gt;</div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;<span class="keyword">struct </span>symm_pack_rhs</div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;{</div>
<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;  <span class="keyword">enum</span> { PacketSize = packet_traits&lt;Scalar&gt;::size };</div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;  <span class="keywordtype">void</span> operator()(Scalar* blockB, <span class="keyword">const</span> Scalar* _rhs, Index rhsStride, Index rows, Index cols, Index k2)</div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;  {</div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;    Index end_k = k2 + rows;</div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    Index count = 0;</div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;    const_blas_data_mapper&lt;Scalar,Index,StorageOrder&gt; rhs(_rhs,rhsStride);</div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    Index packet_cols = (cols/nr)*nr;</div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;</div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;    <span class="comment">// first part: normal case</span></div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    <span class="keywordflow">for</span>(Index j2=0; j2&lt;k2; j2+=nr)</div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;    {</div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;      <span class="keywordflow">for</span>(Index k=k2; k&lt;end_k; k++)</div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;      {</div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;        blockB[count+0] = rhs(k,j2+0);</div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;        blockB[count+1] = rhs(k,j2+1);</div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;        <span class="keywordflow">if</span> (nr==4)</div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;        {</div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;          blockB[count+2] = rhs(k,j2+2);</div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;          blockB[count+3] = rhs(k,j2+3);</div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;        }</div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;        count += nr;</div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;      }</div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;    }</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;</div>
<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;    <span class="comment">// second part: diagonal block</span></div>
<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;    <span class="keywordflow">for</span>(Index j2=k2; j2&lt;(std::min)(k2+rows,packet_cols); j2+=nr)</div>
<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;    {</div>
<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;      <span class="comment">// again we can split vertically in three different parts (transpose, symmetric, normal)</span></div>
<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;      <span class="comment">// transpose</span></div>
<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;      <span class="keywordflow">for</span>(Index k=k2; k&lt;j2; k++)</div>
<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;      {</div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;        blockB[count+0] = numext::conj(rhs(j2+0,k));</div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;        blockB[count+1] = numext::conj(rhs(j2+1,k));</div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;        <span class="keywordflow">if</span> (nr==4)</div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;        {</div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;          blockB[count+2] = numext::conj(rhs(j2+2,k));</div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;          blockB[count+3] = numext::conj(rhs(j2+3,k));</div>
<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;        }</div>
<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;        count += nr;</div>
<div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;      }</div>
<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;      <span class="comment">// symmetric</span></div>
<div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;      Index h = 0;</div>
<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;      <span class="keywordflow">for</span>(Index k=j2; k&lt;j2+nr; k++)</div>
<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;      {</div>
<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;        <span class="comment">// normal</span></div>
<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;        <span class="keywordflow">for</span> (Index w=0 ; w&lt;h; ++w)</div>
<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;          blockB[count+w] = rhs(k,j2+w);</div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;</div>
<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;        blockB[count+h] = numext::real(rhs(k,k));</div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;</div>
<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;        <span class="comment">// transpose</span></div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;        <span class="keywordflow">for</span> (Index w=h+1 ; w&lt;nr; ++w)</div>
<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;          blockB[count+w] = numext::conj(rhs(j2+w,k));</div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;        count += nr;</div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;        ++h;</div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;      }</div>
<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;      <span class="comment">// normal</span></div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;      <span class="keywordflow">for</span>(Index k=j2+nr; k&lt;end_k; k++)</div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;      {</div>
<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;        blockB[count+0] = rhs(k,j2+0);</div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;        blockB[count+1] = rhs(k,j2+1);</div>
<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;        <span class="keywordflow">if</span> (nr==4)</div>
<div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;        {</div>
<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;          blockB[count+2] = rhs(k,j2+2);</div>
<div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;          blockB[count+3] = rhs(k,j2+3);</div>
<div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;        }</div>
<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;        count += nr;</div>
<div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;      }</div>
<div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;    }</div>
<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;</div>
<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;    <span class="comment">// third part: transposed</span></div>
<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;    <span class="keywordflow">for</span>(Index j2=k2+rows; j2&lt;packet_cols; j2+=nr)</div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;    {</div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;      <span class="keywordflow">for</span>(Index k=k2; k&lt;end_k; k++)</div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;      {</div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;        blockB[count+0] = numext::conj(rhs(j2+0,k));</div>
<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;        blockB[count+1] = numext::conj(rhs(j2+1,k));</div>
<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;        <span class="keywordflow">if</span> (nr==4)</div>
<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;        {</div>
<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;          blockB[count+2] = numext::conj(rhs(j2+2,k));</div>
<div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;          blockB[count+3] = numext::conj(rhs(j2+3,k));</div>
<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;        }</div>
<div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;        count += nr;</div>
<div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;      }</div>
<div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;    }</div>
<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;</div>
<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;    <span class="comment">// copy the remaining columns one at a time (=&gt; the same with nr==1)</span></div>
<div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;    <span class="keywordflow">for</span>(Index j2=packet_cols; j2&lt;cols; ++j2)</div>
<div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;    {</div>
<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;      <span class="comment">// transpose</span></div>
<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;      Index half = (std::min)(end_k,j2);</div>
<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;      <span class="keywordflow">for</span>(Index k=k2; k&lt;half; k++)</div>
<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;      {</div>
<div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;        blockB[count] = numext::conj(rhs(j2,k));</div>
<div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;        count += 1;</div>
<div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;      }</div>
<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;</div>
<div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;      <span class="keywordflow">if</span>(half==j2 &amp;&amp; half&lt;k2+rows)</div>
<div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;      {</div>
<div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;        blockB[count] = numext::real(rhs(j2,j2));</div>
<div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;        count += 1;</div>
<div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;      }</div>
<div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;      <span class="keywordflow">else</span></div>
<div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;        half--;</div>
<div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;</div>
<div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;      <span class="comment">// normal</span></div>
<div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;      <span class="keywordflow">for</span>(Index k=half+1; k&lt;k2+rows; k++)</div>
<div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;      {</div>
<div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;        blockB[count] = rhs(k,j2);</div>
<div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;        count += 1;</div>
<div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;      }</div>
<div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;    }</div>
<div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;  }</div>
<div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;};</div>
<div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;</div>
<div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;<span class="comment">/* Optimized selfadjoint matrix * matrix (_SYMM) product built on top of</span></div>
<div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;<span class="comment"> * the general matrix matrix product.</span></div>
<div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Scalar, <span class="keyword">typename</span> Index,</div>
<div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;          <span class="keywordtype">int</span> LhsStorageOrder, <span class="keywordtype">bool</span> LhsSelfAdjoint, <span class="keywordtype">bool</span> ConjugateLhs,</div>
<div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;          <span class="keywordtype">int</span> RhsStorageOrder, <span class="keywordtype">bool</span> RhsSelfAdjoint, <span class="keywordtype">bool</span> ConjugateRhs,</div>
<div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;          <span class="keywordtype">int</span> ResStorageOrder&gt;</div>
<div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;<span class="keyword">struct </span>product_selfadjoint_matrix;</div>
<div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;</div>
<div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Scalar, <span class="keyword">typename</span> Index,</div>
<div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;          <span class="keywordtype">int</span> LhsStorageOrder, <span class="keywordtype">bool</span> LhsSelfAdjoint, <span class="keywordtype">bool</span> ConjugateLhs,</div>
<div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;          <span class="keywordtype">int</span> RhsStorageOrder, <span class="keywordtype">bool</span> RhsSelfAdjoint, <span class="keywordtype">bool</span> ConjugateRhs&gt;</div>
<div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;<span class="keyword">struct </span>product_selfadjoint_matrix&lt;Scalar,Index,LhsStorageOrder,LhsSelfAdjoint,ConjugateLhs, RhsStorageOrder,RhsSelfAdjoint,ConjugateRhs,<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>&gt;</div>
<div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;{</div>
<div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;</div>
<div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;  <span class="keyword">static</span> EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(</div>
<div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;    Index rows, Index cols,</div>
<div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;    <span class="keyword">const</span> Scalar* lhs, Index lhsStride,</div>
<div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;    <span class="keyword">const</span> Scalar* rhs, Index rhsStride,</div>
<div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;    Scalar* res,       Index resStride,</div>
<div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;    <span class="keyword">const</span> Scalar&amp; alpha)</div>
<div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;  {</div>
<div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;    product_selfadjoint_matrix&lt;Scalar, Index,</div>
<div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;      EIGEN_LOGICAL_XOR(RhsSelfAdjoint,RhsStorageOrder==<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>) ? <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a> : <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>,</div>
<div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;      RhsSelfAdjoint, NumTraits&lt;Scalar&gt;::IsComplex &amp;&amp; EIGEN_LOGICAL_XOR(RhsSelfAdjoint,ConjugateRhs),</div>
<div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;      EIGEN_LOGICAL_XOR(LhsSelfAdjoint,LhsStorageOrder==<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>) ? <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a> : <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>,</div>
<div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;      LhsSelfAdjoint, NumTraits&lt;Scalar&gt;::IsComplex &amp;&amp; EIGEN_LOGICAL_XOR(LhsSelfAdjoint,ConjugateLhs),</div>
<div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;      <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>&gt;</div>
<div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;      ::run(cols, rows,  rhs, rhsStride,  lhs, lhsStride,  res, resStride,  alpha);</div>
<div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;  }</div>
<div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;};</div>
<div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;</div>
<div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Scalar, <span class="keyword">typename</span> Index,</div>
<div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;          <span class="keywordtype">int</span> LhsStorageOrder, <span class="keywordtype">bool</span> ConjugateLhs,</div>
<div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;          <span class="keywordtype">int</span> RhsStorageOrder, <span class="keywordtype">bool</span> ConjugateRhs&gt;</div>
<div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;<span class="keyword">struct </span>product_selfadjoint_matrix&lt;Scalar,Index,LhsStorageOrder,true,ConjugateLhs, RhsStorageOrder,false,ConjugateRhs,<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>&gt;</div>
<div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;{</div>
<div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;</div>
<div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;  <span class="keyword">static</span> EIGEN_DONT_INLINE <span class="keywordtype">void</span> run(</div>
<div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;    Index rows, Index cols,</div>
<div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;    <span class="keyword">const</span> Scalar* _lhs, Index lhsStride,</div>
<div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;    <span class="keyword">const</span> Scalar* _rhs, Index rhsStride,</div>
<div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;    Scalar* res,        Index resStride,</div>
<div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;    <span class="keyword">const</span> Scalar&amp; alpha);</div>
<div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;};</div>
<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;</div>
<div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Scalar, <span class="keyword">typename</span> Index,</div>
<div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;          <span class="keywordtype">int</span> LhsStorageOrder, <span class="keywordtype">bool</span> ConjugateLhs,</div>
<div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;          <span class="keywordtype">int</span> RhsStorageOrder, <span class="keywordtype">bool</span> ConjugateRhs&gt;</div>
<div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;EIGEN_DONT_INLINE <span class="keywordtype">void</span> product_selfadjoint_matrix&lt;Scalar,Index,LhsStorageOrder,true,ConjugateLhs, RhsStorageOrder,false,ConjugateRhs,ColMajor&gt;::run(</div>
<div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;    Index rows, Index cols,</div>
<div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;    <span class="keyword">const</span> Scalar* _lhs, Index lhsStride,</div>
<div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;    <span class="keyword">const</span> Scalar* _rhs, Index rhsStride,</div>
<div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;    Scalar* res,        Index resStride,</div>
<div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;    <span class="keyword">const</span> Scalar&amp; alpha)</div>
<div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;  {</div>
<div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;    Index size = rows;</div>
<div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;</div>
<div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;    const_blas_data_mapper&lt;Scalar, Index, LhsStorageOrder&gt; lhs(_lhs,lhsStride);</div>
<div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;    const_blas_data_mapper&lt;Scalar, Index, RhsStorageOrder&gt; rhs(_rhs,rhsStride);</div>
<div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;</div>
<div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;    <span class="keyword">typedef</span> gebp_traits&lt;Scalar,Scalar&gt; Traits;</div>
<div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;</div>
<div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;    Index kc = size;  <span class="comment">// cache block size along the K direction</span></div>
<div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;    Index mc = rows;  <span class="comment">// cache block size along the M direction</span></div>
<div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;    Index nc = cols;  <span class="comment">// cache block size along the N direction</span></div>
<div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;    computeProductBlockingSizes&lt;Scalar,Scalar&gt;(kc, mc, nc);</div>
<div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;    <span class="comment">// kc must smaller than mc</span></div>
<div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;    kc = (std::min)(kc,mc);</div>
<div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;</div>
<div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;    std::size_t sizeW = kc*Traits::WorkSpaceFactor;</div>
<div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;    std::size_t sizeB = sizeW + kc*cols;</div>
<div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;    ei_declare_aligned_stack_constructed_variable(Scalar, blockA, kc*mc, 0);</div>
<div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;    ei_declare_aligned_stack_constructed_variable(Scalar, allocatedBlockB, sizeB, 0);</div>
<div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;    Scalar* blockB = allocatedBlockB + sizeW;</div>
<div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;</div>
<div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;    gebp_kernel&lt;Scalar, Scalar, Index, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs&gt; gebp_kernel;</div>
<div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;    symm_pack_lhs&lt;Scalar, Index, Traits::mr, Traits::LhsProgress, LhsStorageOrder&gt; pack_lhs;</div>
<div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;    gemm_pack_rhs&lt;Scalar, Index, Traits::nr,RhsStorageOrder&gt; pack_rhs;</div>
<div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;    gemm_pack_lhs&lt;Scalar, Index, Traits::mr, Traits::LhsProgress, LhsStorageOrder==RowMajor?ColMajor:RowMajor, true&gt; pack_lhs_transposed;</div>
<div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;</div>
<div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;    <span class="keywordflow">for</span>(Index k2=0; k2&lt;size; k2+=kc)</div>
<div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;    {</div>
<div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;      <span class="keyword">const</span> Index actual_kc = (std::min)(k2+kc,size)-k2;</div>
<div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;</div>
<div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;      <span class="comment">// we have selected one row panel of rhs and one column panel of lhs</span></div>
<div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;      <span class="comment">// pack rhs&#39;s panel into a sequential chunk of memory</span></div>
<div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;      <span class="comment">// and expand each coeff to a constant packet for further reuse</span></div>
<div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;      pack_rhs(blockB, &amp;rhs(k2,0), rhsStride, actual_kc, cols);</div>
<div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;</div>
<div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;      <span class="comment">// the select lhs&#39;s panel has to be split in three different parts:</span></div>
<div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;      <span class="comment">//  1 - the transposed panel above the diagonal block =&gt; transposed packed copy</span></div>
<div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;      <span class="comment">//  2 - the diagonal block =&gt; special packed copy</span></div>
<div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;      <span class="comment">//  3 - the panel below the diagonal block =&gt; generic packed copy</span></div>
<div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;      <span class="keywordflow">for</span>(Index i2=0; i2&lt;k2; i2+=mc)</div>
<div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;      {</div>
<div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;        <span class="keyword">const</span> Index actual_mc = (std::min)(i2+mc,k2)-i2;</div>
<div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;        <span class="comment">// transposed packed copy</span></div>
<div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;        pack_lhs_transposed(blockA, &amp;lhs(k2, i2), lhsStride, actual_kc, actual_mc);</div>
<div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;</div>
<div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;        gebp_kernel(res+i2, resStride, blockA, blockB, actual_mc, actual_kc, cols, alpha);</div>
<div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;      }</div>
<div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;      <span class="comment">// the block diagonal</span></div>
<div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;      {</div>
<div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;        <span class="keyword">const</span> Index actual_mc = (std::min)(k2+kc,size)-k2;</div>
<div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;        <span class="comment">// symmetric packed copy</span></div>
<div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;        pack_lhs(blockA, &amp;lhs(k2,k2), lhsStride, actual_kc, actual_mc);</div>
<div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;</div>
<div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;        gebp_kernel(res+k2, resStride, blockA, blockB, actual_mc, actual_kc, cols, alpha);</div>
<div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;      }</div>
<div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;</div>
<div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;      <span class="keywordflow">for</span>(Index i2=k2+kc; i2&lt;size; i2+=mc)</div>
<div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;      {</div>
<div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;        <span class="keyword">const</span> Index actual_mc = (std::min)(i2+mc,size)-i2;</div>
<div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;        gemm_pack_lhs&lt;Scalar, Index, Traits::mr, Traits::LhsProgress, LhsStorageOrder,false&gt;()</div>
<div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;          (blockA, &amp;lhs(i2, k2), lhsStride, actual_kc, actual_mc);</div>
<div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;</div>
<div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;        gebp_kernel(res+i2, resStride, blockA, blockB, actual_mc, actual_kc, cols, alpha);</div>
<div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;      }</div>
<div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;    }</div>
<div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;  }</div>
<div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;</div>
<div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;<span class="comment">// matrix * selfadjoint product</span></div>
<div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Scalar, <span class="keyword">typename</span> Index,</div>
<div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;          <span class="keywordtype">int</span> LhsStorageOrder, <span class="keywordtype">bool</span> ConjugateLhs,</div>
<div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;          <span class="keywordtype">int</span> RhsStorageOrder, <span class="keywordtype">bool</span> ConjugateRhs&gt;</div>
<div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;<span class="keyword">struct </span>product_selfadjoint_matrix&lt;Scalar,Index,LhsStorageOrder,false,ConjugateLhs, RhsStorageOrder,true,ConjugateRhs,<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>&gt;</div>
<div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160;{</div>
<div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;</div>
<div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;  <span class="keyword">static</span> EIGEN_DONT_INLINE <span class="keywordtype">void</span> run(</div>
<div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;    Index rows, Index cols,</div>
<div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;    <span class="keyword">const</span> Scalar* _lhs, Index lhsStride,</div>
<div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;    <span class="keyword">const</span> Scalar* _rhs, Index rhsStride,</div>
<div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;    Scalar* res,        Index resStride,</div>
<div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160;    <span class="keyword">const</span> Scalar&amp; alpha);</div>
<div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;};</div>
<div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;</div>
<div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Scalar, <span class="keyword">typename</span> Index,</div>
<div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;          <span class="keywordtype">int</span> LhsStorageOrder, <span class="keywordtype">bool</span> ConjugateLhs,</div>
<div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;          <span class="keywordtype">int</span> RhsStorageOrder, <span class="keywordtype">bool</span> ConjugateRhs&gt;</div>
<div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;EIGEN_DONT_INLINE <span class="keywordtype">void</span> product_selfadjoint_matrix&lt;Scalar,Index,LhsStorageOrder,false,ConjugateLhs, RhsStorageOrder,true,ConjugateRhs,ColMajor&gt;::run(</div>
<div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;    Index rows, Index cols,</div>
<div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;    <span class="keyword">const</span> Scalar* _lhs, Index lhsStride,</div>
<div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;    <span class="keyword">const</span> Scalar* _rhs, Index rhsStride,</div>
<div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;    Scalar* res,        Index resStride,</div>
<div class="line"><a name="l00339"></a><span class="lineno">  339</span>&#160;    <span class="keyword">const</span> Scalar&amp; alpha)</div>
<div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160;  {</div>
<div class="line"><a name="l00341"></a><span class="lineno">  341</span>&#160;    Index size = cols;</div>
<div class="line"><a name="l00342"></a><span class="lineno">  342</span>&#160;</div>
<div class="line"><a name="l00343"></a><span class="lineno">  343</span>&#160;    const_blas_data_mapper&lt;Scalar, Index, LhsStorageOrder&gt; lhs(_lhs,lhsStride);</div>
<div class="line"><a name="l00344"></a><span class="lineno">  344</span>&#160;</div>
<div class="line"><a name="l00345"></a><span class="lineno">  345</span>&#160;    <span class="keyword">typedef</span> gebp_traits&lt;Scalar,Scalar&gt; Traits;</div>
<div class="line"><a name="l00346"></a><span class="lineno">  346</span>&#160;</div>
<div class="line"><a name="l00347"></a><span class="lineno">  347</span>&#160;    Index kc = size; <span class="comment">// cache block size along the K direction</span></div>
<div class="line"><a name="l00348"></a><span class="lineno">  348</span>&#160;    Index mc = rows;  <span class="comment">// cache block size along the M direction</span></div>
<div class="line"><a name="l00349"></a><span class="lineno">  349</span>&#160;    Index nc = cols;  <span class="comment">// cache block size along the N direction</span></div>
<div class="line"><a name="l00350"></a><span class="lineno">  350</span>&#160;    computeProductBlockingSizes&lt;Scalar,Scalar&gt;(kc, mc, nc);</div>
<div class="line"><a name="l00351"></a><span class="lineno">  351</span>&#160;    std::size_t sizeW = kc*Traits::WorkSpaceFactor;</div>
<div class="line"><a name="l00352"></a><span class="lineno">  352</span>&#160;    std::size_t sizeB = sizeW + kc*cols;</div>
<div class="line"><a name="l00353"></a><span class="lineno">  353</span>&#160;    ei_declare_aligned_stack_constructed_variable(Scalar, blockA, kc*mc, 0);</div>
<div class="line"><a name="l00354"></a><span class="lineno">  354</span>&#160;    ei_declare_aligned_stack_constructed_variable(Scalar, allocatedBlockB, sizeB, 0);</div>
<div class="line"><a name="l00355"></a><span class="lineno">  355</span>&#160;    Scalar* blockB = allocatedBlockB + sizeW;</div>
<div class="line"><a name="l00356"></a><span class="lineno">  356</span>&#160;</div>
<div class="line"><a name="l00357"></a><span class="lineno">  357</span>&#160;    gebp_kernel&lt;Scalar, Scalar, Index, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs&gt; gebp_kernel;</div>
<div class="line"><a name="l00358"></a><span class="lineno">  358</span>&#160;    gemm_pack_lhs&lt;Scalar, Index, Traits::mr, Traits::LhsProgress, LhsStorageOrder&gt; pack_lhs;</div>
<div class="line"><a name="l00359"></a><span class="lineno">  359</span>&#160;    symm_pack_rhs&lt;Scalar, Index, Traits::nr,RhsStorageOrder&gt; pack_rhs;</div>
<div class="line"><a name="l00360"></a><span class="lineno">  360</span>&#160;</div>
<div class="line"><a name="l00361"></a><span class="lineno">  361</span>&#160;    <span class="keywordflow">for</span>(Index k2=0; k2&lt;size; k2+=kc)</div>
<div class="line"><a name="l00362"></a><span class="lineno">  362</span>&#160;    {</div>
<div class="line"><a name="l00363"></a><span class="lineno">  363</span>&#160;      <span class="keyword">const</span> Index actual_kc = (std::min)(k2+kc,size)-k2;</div>
<div class="line"><a name="l00364"></a><span class="lineno">  364</span>&#160;</div>
<div class="line"><a name="l00365"></a><span class="lineno">  365</span>&#160;      pack_rhs(blockB, _rhs, rhsStride, actual_kc, cols, k2);</div>
<div class="line"><a name="l00366"></a><span class="lineno">  366</span>&#160;</div>
<div class="line"><a name="l00367"></a><span class="lineno">  367</span>&#160;      <span class="comment">// =&gt; GEPP</span></div>
<div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160;      <span class="keywordflow">for</span>(Index i2=0; i2&lt;rows; i2+=mc)</div>
<div class="line"><a name="l00369"></a><span class="lineno">  369</span>&#160;      {</div>
<div class="line"><a name="l00370"></a><span class="lineno">  370</span>&#160;        <span class="keyword">const</span> Index actual_mc = (std::min)(i2+mc,rows)-i2;</div>
<div class="line"><a name="l00371"></a><span class="lineno">  371</span>&#160;        pack_lhs(blockA, &amp;lhs(i2, k2), lhsStride, actual_kc, actual_mc);</div>
<div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160;</div>
<div class="line"><a name="l00373"></a><span class="lineno">  373</span>&#160;        gebp_kernel(res+i2, resStride, blockA, blockB, actual_mc, actual_kc, cols, alpha);</div>
<div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160;      }</div>
<div class="line"><a name="l00375"></a><span class="lineno">  375</span>&#160;    }</div>
<div class="line"><a name="l00376"></a><span class="lineno">  376</span>&#160;  }</div>
<div class="line"><a name="l00377"></a><span class="lineno">  377</span>&#160;</div>
<div class="line"><a name="l00378"></a><span class="lineno">  378</span>&#160;} <span class="comment">// end namespace internal</span></div>
<div class="line"><a name="l00379"></a><span class="lineno">  379</span>&#160;</div>
<div class="line"><a name="l00380"></a><span class="lineno">  380</span>&#160;<span class="comment">/***************************************************************************</span></div>
<div class="line"><a name="l00381"></a><span class="lineno">  381</span>&#160;<span class="comment">* Wrapper to product_selfadjoint_matrix</span></div>
<div class="line"><a name="l00382"></a><span class="lineno">  382</span>&#160;<span class="comment">***************************************************************************/</span></div>
<div class="line"><a name="l00383"></a><span class="lineno">  383</span>&#160;</div>
<div class="line"><a name="l00384"></a><span class="lineno">  384</span>&#160;<span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00385"></a><span class="lineno">  385</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keywordtype">int</span> LhsMode, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> RhsMode&gt;</div>
<div class="line"><a name="l00386"></a><span class="lineno">  386</span>&#160;<span class="keyword">struct </span>traits&lt;SelfadjointProductMatrix&lt;Lhs,LhsMode,false,Rhs,RhsMode,false&gt; &gt;</div>
<div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160;  : traits&lt;ProductBase&lt;SelfadjointProductMatrix&lt;Lhs,LhsMode,false,Rhs,RhsMode,false&gt;, Lhs, Rhs&gt; &gt;</div>
<div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160;{};</div>
<div class="line"><a name="l00389"></a><span class="lineno">  389</span>&#160;}</div>
<div class="line"><a name="l00390"></a><span class="lineno">  390</span>&#160;</div>
<div class="line"><a name="l00391"></a><span class="lineno">  391</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keywordtype">int</span> LhsMode, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> RhsMode&gt;</div>
<div class="line"><a name="l00392"></a><span class="lineno">  392</span>&#160;<span class="keyword">struct </span>SelfadjointProductMatrix&lt;Lhs,LhsMode,false,Rhs,RhsMode,false&gt;</div>
<div class="line"><a name="l00393"></a><span class="lineno">  393</span>&#160;  : <span class="keyword">public</span> ProductBase&lt;SelfadjointProductMatrix&lt;Lhs,LhsMode,false,Rhs,RhsMode,false&gt;, Lhs, Rhs &gt;</div>
<div class="line"><a name="l00394"></a><span class="lineno">  394</span>&#160;{</div>
<div class="line"><a name="l00395"></a><span class="lineno">  395</span>&#160;  EIGEN_PRODUCT_PUBLIC_INTERFACE(SelfadjointProductMatrix)</div>
<div class="line"><a name="l00396"></a><span class="lineno">  396</span>&#160;</div>
<div class="line"><a name="l00397"></a><span class="lineno">  397</span>&#160;  SelfadjointProductMatrix(const Lhs&amp; lhs, const Rhs&amp; rhs) : Base(lhs,rhs) {}</div>
<div class="line"><a name="l00398"></a><span class="lineno">  398</span>&#160;</div>
<div class="line"><a name="l00399"></a><span class="lineno">  399</span>&#160;  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00400"></a><span class="lineno">  400</span>&#160;    LhsIsUpper = (LhsMode&amp;(<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bae70afef0d3ff7aca74e17e85ff6c9f2e">Upper</a>|<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910baf886b397626076218462d53d50eb96bc">Lower</a>))==<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bae70afef0d3ff7aca74e17e85ff6c9f2e">Upper</a>,</div>
<div class="line"><a name="l00401"></a><span class="lineno">  401</span>&#160;    LhsIsSelfAdjoint = (LhsMode&amp;<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bac2a895b4256c681bdaa7cce26ab4e487">SelfAdjoint</a>)==<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bac2a895b4256c681bdaa7cce26ab4e487">SelfAdjoint</a>,</div>
<div class="line"><a name="l00402"></a><span class="lineno">  402</span>&#160;    RhsIsUpper = (RhsMode&amp;(<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bae70afef0d3ff7aca74e17e85ff6c9f2e">Upper</a>|<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910baf886b397626076218462d53d50eb96bc">Lower</a>))==<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bae70afef0d3ff7aca74e17e85ff6c9f2e">Upper</a>,</div>
<div class="line"><a name="l00403"></a><span class="lineno">  403</span>&#160;    RhsIsSelfAdjoint = (RhsMode&amp;<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bac2a895b4256c681bdaa7cce26ab4e487">SelfAdjoint</a>)==SelfAdjoint</div>
<div class="line"><a name="l00404"></a><span class="lineno">  404</span>&#160;  };</div>
<div class="line"><a name="l00405"></a><span class="lineno">  405</span>&#160;</div>
<div class="line"><a name="l00406"></a><span class="lineno">  406</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Dest&gt; <span class="keywordtype">void</span> scaleAndAddTo(Dest&amp; dst, <span class="keyword">const</span> Scalar&amp; alpha)<span class="keyword"> const</span></div>
<div class="line"><a name="l00407"></a><span class="lineno">  407</span>&#160;<span class="keyword">  </span>{</div>
<div class="line"><a name="l00408"></a><span class="lineno">  408</span>&#160;    eigen_assert(dst.rows()==m_lhs.rows() &amp;&amp; dst.cols()==m_rhs.cols());</div>
<div class="line"><a name="l00409"></a><span class="lineno">  409</span>&#160;</div>
<div class="line"><a name="l00410"></a><span class="lineno">  410</span>&#160;    <span class="keyword">typename</span> internal::add_const_on_value_type&lt;ActualLhsType&gt;::type lhs = LhsBlasTraits::extract(m_lhs);</div>
<div class="line"><a name="l00411"></a><span class="lineno">  411</span>&#160;    <span class="keyword">typename</span> internal::add_const_on_value_type&lt;ActualRhsType&gt;::type rhs = RhsBlasTraits::extract(m_rhs);</div>
<div class="line"><a name="l00412"></a><span class="lineno">  412</span>&#160;</div>
<div class="line"><a name="l00413"></a><span class="lineno">  413</span>&#160;    Scalar actualAlpha = alpha * LhsBlasTraits::extractScalarFactor(m_lhs)</div>
<div class="line"><a name="l00414"></a><span class="lineno">  414</span>&#160;                               * RhsBlasTraits::extractScalarFactor(m_rhs);</div>
<div class="line"><a name="l00415"></a><span class="lineno">  415</span>&#160;</div>
<div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160;    internal::product_selfadjoint_matrix&lt;Scalar, Index,</div>
<div class="line"><a name="l00417"></a><span class="lineno">  417</span>&#160;      EIGEN_LOGICAL_XOR(LhsIsUpper,</div>
<div class="line"><a name="l00418"></a><span class="lineno">  418</span>&#160;                        internal::traits&lt;Lhs&gt;::Flags &amp;<a class="code" href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">RowMajorBit</a>) ? <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a> : <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>, LhsIsSelfAdjoint,</div>
<div class="line"><a name="l00419"></a><span class="lineno">  419</span>&#160;      NumTraits&lt;Scalar&gt;::IsComplex &amp;&amp; EIGEN_LOGICAL_XOR(LhsIsUpper,<span class="keywordtype">bool</span>(LhsBlasTraits::NeedToConjugate)),</div>
<div class="line"><a name="l00420"></a><span class="lineno">  420</span>&#160;      EIGEN_LOGICAL_XOR(RhsIsUpper,</div>
<div class="line"><a name="l00421"></a><span class="lineno">  421</span>&#160;                        internal::traits&lt;Rhs&gt;::Flags &amp;<a class="code" href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">RowMajorBit</a>) ? <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a> : <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>, RhsIsSelfAdjoint,</div>
<div class="line"><a name="l00422"></a><span class="lineno">  422</span>&#160;      NumTraits&lt;Scalar&gt;::IsComplex &amp;&amp; EIGEN_LOGICAL_XOR(RhsIsUpper,<span class="keywordtype">bool</span>(RhsBlasTraits::NeedToConjugate)),</div>
<div class="line"><a name="l00423"></a><span class="lineno">  423</span>&#160;      internal::traits&lt;Dest&gt;::Flags&amp;<a class="code" href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">RowMajorBit</a>  ? <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a> : <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>&gt;</div>
<div class="line"><a name="l00424"></a><span class="lineno">  424</span>&#160;      ::run(</div>
<div class="line"><a name="l00425"></a><span class="lineno">  425</span>&#160;        lhs.rows(), rhs.cols(),                 <span class="comment">// sizes</span></div>
<div class="line"><a name="l00426"></a><span class="lineno">  426</span>&#160;        &amp;lhs.coeffRef(0,0),    lhs.outerStride(),  <span class="comment">// lhs info</span></div>
<div class="line"><a name="l00427"></a><span class="lineno">  427</span>&#160;        &amp;rhs.coeffRef(0,0),    rhs.outerStride(),  <span class="comment">// rhs info</span></div>
<div class="line"><a name="l00428"></a><span class="lineno">  428</span>&#160;        &amp;dst.coeffRef(0,0), dst.outerStride(),  <span class="comment">// result info</span></div>
<div class="line"><a name="l00429"></a><span class="lineno">  429</span>&#160;        actualAlpha                             <span class="comment">// alpha</span></div>
<div class="line"><a name="l00430"></a><span class="lineno">  430</span>&#160;      );</div>
<div class="line"><a name="l00431"></a><span class="lineno">  431</span>&#160;  }</div>
<div class="line"><a name="l00432"></a><span class="lineno">  432</span>&#160;};</div>
<div class="line"><a name="l00433"></a><span class="lineno">  433</span>&#160;</div>
<div class="line"><a name="l00434"></a><span class="lineno">  434</span>&#160;} <span class="comment">// end namespace Eigen</span></div>
<div class="line"><a name="l00435"></a><span class="lineno">  435</span>&#160;</div>
<div class="line"><a name="l00436"></a><span class="lineno">  436</span>&#160;<span class="preprocessor">#endif // EIGEN_SELFADJOINT_MATRIX_MATRIX_H</span></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="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="group__enums_html_ggab59c1bec446b10af208f977a871d910bae70afef0d3ff7aca74e17e85ff6c9f2e"><div class="ttname"><a href="group__enums.html#ggab59c1bec446b10af208f977a871d910bae70afef0d3ff7aca74e17e85ff6c9f2e">Eigen::Upper</a></div><div class="ttdef"><b>Definition:</b> Constants.h:169</div></div>
<div class="ttc" id="group__enums_html_ggab59c1bec446b10af208f977a871d910baf886b397626076218462d53d50eb96bc"><div class="ttname"><a href="group__enums.html#ggab59c1bec446b10af208f977a871d910baf886b397626076218462d53d50eb96bc">Eigen::Lower</a></div><div class="ttdef"><b>Definition:</b> Constants.h:167</div></div>
<div class="ttc" id="group__enums_html_ggab59c1bec446b10af208f977a871d910bac2a895b4256c681bdaa7cce26ab4e487"><div class="ttname"><a href="group__enums.html#ggab59c1bec446b10af208f977a871d910bac2a895b4256c681bdaa7cce26ab4e487">Eigen::SelfAdjoint</a></div><div class="ttdef"><b>Definition:</b> Constants.h:183</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><!-- 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_55812ea607075be3acfc18281a2aed64.html">Core</a></li><li class="navelem"><a class="el" href="dir_cf0726a1d419b03e86a64bf5e2ec8fb9.html">products</a></li><li class="navelem"><b>SelfadjointMatrixMatrix.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>