<!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: GeneralMatrixMatrixTriangular.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('GeneralMatrixMatrixTriangular_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">GeneralMatrixMatrixTriangular.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) 2009-2010 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_GENERAL_MATRIX_MATRIX_TRIANGULAR_H</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor"></span><span class="preprocessor">#define EIGEN_GENERAL_MATRIX_MATRIX_TRIANGULAR_H</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor"></span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="keyword">namespace </span>Eigen { </div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar, <span class="keyword">typename</span> Index, <span class="keywordtype">int</span> StorageOrder, <span class="keywordtype">int</span> UpLo, <span class="keywordtype">bool</span> ConjLhs, <span class="keywordtype">bool</span> ConjRhs></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="keyword">struct </span>selfadjoint_rank1_update;</div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> </div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> </div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment">/**********************************************************************</span></div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment">* This file implements a general A * B product while</span></div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment">* evaluating only one triangular part of the product.</span></div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment">* This is more general version of self adjoint product (C += A A^T)</span></div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="comment">* as the level 3 SYRK Blas routine.</span></div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="comment">**********************************************************************/</span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="comment">// forward declarations (defined at the end of this file)</span></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="keyword">template</span><<span class="keyword">typename</span> LhsScalar, <span class="keyword">typename</span> RhsScalar, <span class="keyword">typename</span> Index, <span class="keywordtype">int</span> mr, <span class="keywordtype">int</span> nr, <span class="keywordtype">bool</span> ConjLhs, <span class="keywordtype">bool</span> ConjRhs, <span class="keywordtype">int</span> UpLo></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="keyword">struct </span>tribb_kernel;</div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  </div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="comment">/* Optimized matrix-matrix product evaluating only one triangular half */</span></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Index,</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keyword">typename</span> LhsScalar, <span class="keywordtype">int</span> LhsStorageOrder, <span class="keywordtype">bool</span> ConjugateLhs,</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keyword">typename</span> RhsScalar, <span class="keywordtype">int</span> RhsStorageOrder, <span class="keywordtype">bool</span> ConjugateRhs,</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keywordtype">int</span> ResStorageOrder, <span class="keywordtype">int</span> UpLo, <span class="keywordtype">int</span> Version = Specialized></div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="keyword">struct </span>general_matrix_matrix_triangular_product;</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> </div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="comment">// as usual if the result is row major => we transpose the product</span></div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Index, <span class="keyword">typename</span> LhsScalar, <span class="keywordtype">int</span> LhsStorageOrder, <span class="keywordtype">bool</span> ConjugateLhs,</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keyword">typename</span> RhsScalar, <span class="keywordtype">int</span> RhsStorageOrder, <span class="keywordtype">bool</span> ConjugateRhs, <span class="keywordtype">int</span> UpLo, <span class="keywordtype">int</span> Version></div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keyword">struct </span>general_matrix_matrix_triangular_product<Index,LhsScalar,LhsStorageOrder,ConjugateLhs,RhsScalar,RhsStorageOrder,ConjugateRhs,<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>,UpLo,Version></div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> {</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> scalar_product_traits<LhsScalar, RhsScalar>::ReturnType ResScalar;</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">static</span> EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(Index size, Index depth,<span class="keyword">const</span> LhsScalar* lhs, Index lhsStride,</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keyword">const</span> RhsScalar* rhs, Index rhsStride, ResScalar* res, Index resStride, <span class="keyword">const</span> ResScalar& alpha)</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  {</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  general_matrix_matrix_triangular_product<Index,</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  RhsScalar, 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>, ConjugateRhs,</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  LhsScalar, 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>, ConjugateLhs,</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>, UpLo==<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910baf886b397626076218462d53d50eb96bc">Lower</a>?<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bae70afef0d3ff7aca74e17e85ff6c9f2e">Upper</a>:<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910baf886b397626076218462d53d50eb96bc">Lower</a>></div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  ::run(size,depth,rhs,rhsStride,lhs,lhsStride,res,resStride,alpha);</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  }</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span> };</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Index, <span class="keyword">typename</span> LhsScalar, <span class="keywordtype">int</span> LhsStorageOrder, <span class="keywordtype">bool</span> ConjugateLhs,</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keyword">typename</span> RhsScalar, <span class="keywordtype">int</span> RhsStorageOrder, <span class="keywordtype">bool</span> ConjugateRhs, <span class="keywordtype">int</span> UpLo, <span class="keywordtype">int</span> Version></div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="keyword">struct </span>general_matrix_matrix_triangular_product<Index,LhsScalar,LhsStorageOrder,ConjugateLhs,RhsScalar,RhsStorageOrder,ConjugateRhs,<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>,UpLo,Version></div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span> {</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> scalar_product_traits<LhsScalar, RhsScalar>::ReturnType ResScalar;</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keyword">static</span> EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(Index size, Index depth,<span class="keyword">const</span> LhsScalar* _lhs, Index lhsStride,</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keyword">const</span> RhsScalar* _rhs, Index rhsStride, ResScalar* res, Index resStride, <span class="keyword">const</span> ResScalar& alpha)</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>  const_blas_data_mapper<LhsScalar, Index, LhsStorageOrder> lhs(_lhs,lhsStride);</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  const_blas_data_mapper<RhsScalar, Index, RhsStorageOrder> rhs(_rhs,rhsStride);</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keyword">typedef</span> gebp_traits<LhsScalar,RhsScalar> Traits;</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  Index kc = depth; <span class="comment">// cache block size along the K direction</span></div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  Index mc = size; <span class="comment">// cache block size along the M direction</span></div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  Index nc = size; <span class="comment">// cache block size along the N direction</span></div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  computeProductBlockingSizes<LhsScalar,RhsScalar>(kc, mc, nc);</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="comment">// !!! mc must be a multiple of nr:</span></div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordflow">if</span>(mc > Traits::nr)</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  mc = (mc/Traits::nr)*Traits::nr;</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  std::size_t sizeW = kc*Traits::WorkSpaceFactor;</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  std::size_t sizeB = sizeW + kc*size;</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  ei_declare_aligned_stack_constructed_variable(LhsScalar, blockA, kc*mc, 0);</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  ei_declare_aligned_stack_constructed_variable(RhsScalar, allocatedBlockB, sizeB, 0);</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  RhsScalar* blockB = allocatedBlockB + sizeW;</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>  gemm_pack_lhs<LhsScalar, Index, Traits::mr, Traits::LhsProgress, LhsStorageOrder> pack_lhs;</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  gemm_pack_rhs<RhsScalar, Index, Traits::nr, RhsStorageOrder> pack_rhs;</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  gebp_kernel <LhsScalar, RhsScalar, Index, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  tribb_kernel<LhsScalar, RhsScalar, Index, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs, UpLo> sybb;</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordflow">for</span>(Index k2=0; k2<depth; k2+=kc)</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  {</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keyword">const</span> Index actual_kc = (std::min)(k2+kc,depth)-k2;</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="comment">// note that the actual rhs is the transpose/adjoint of mat</span></div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  pack_rhs(blockB, &rhs(k2,0), rhsStride, actual_kc, size);</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">for</span>(Index i2=0; i2<size; i2+=mc)</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  {</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keyword">const</span> Index actual_mc = (std::min)(i2+mc,size)-i2;</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  pack_lhs(blockA, &lhs(i2, k2), lhsStride, actual_kc, actual_mc);</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="comment">// the selected actual_mc * size panel of res is split into three different part:</span></div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="comment">// 1 - before the diagonal => processed with gebp or skipped</span></div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="comment">// 2 - the actual_mc x actual_mc symmetric block => processed with a special kernel</span></div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="comment">// 3 - after the diagonal => processed with gebp or skipped</span></div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordflow">if</span> (UpLo==<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910baf886b397626076218462d53d50eb96bc">Lower</a>)</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  gebp(res+i2, resStride, blockA, blockB, actual_mc, actual_kc, (std::min)(size,i2), alpha,</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  -1, -1, 0, 0, allocatedBlockB);</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  sybb(res+resStride*i2 + i2, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha, allocatedBlockB);</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">if</span> (UpLo==<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bae70afef0d3ff7aca74e17e85ff6c9f2e">Upper</a>)</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  {</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  Index j2 = i2+actual_mc;</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  gebp(res+resStride*j2+i2, resStride, blockA, blockB+actual_kc*j2, actual_mc, actual_kc, (std::max)(Index(0), size-j2), alpha,</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  -1, -1, 0, 0, allocatedBlockB);</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  }</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  }</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  }</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  }</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span> };</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span> <span class="comment">// Optimized packed Block * packed Block product kernel evaluating only one given triangular part</span></div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span> <span class="comment">// This kernel is built on top of the gebp kernel:</span></div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span> <span class="comment">// - the current destination block is processed per panel of actual_mc x BlockSize</span></div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span> <span class="comment">// where BlockSize is set to the minimal value allowing gebp to be as fast as possible</span></div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span> <span class="comment">// - then, as usual, each panel is split into three parts along the diagonal,</span></div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span> <span class="comment">// the sub blocks above and below the diagonal are processed as usual,</span></div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span> <span class="comment">// while the triangular block overlapping the diagonal is evaluated into a</span></div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span> <span class="comment">// small temporary buffer which is then accumulated into the result using a</span></div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span> <span class="comment">// triangular traversal.</span></div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span> <span class="keyword">template</span><<span class="keyword">typename</span> LhsScalar, <span class="keyword">typename</span> RhsScalar, <span class="keyword">typename</span> Index, <span class="keywordtype">int</span> mr, <span class="keywordtype">int</span> nr, <span class="keywordtype">bool</span> ConjLhs, <span class="keywordtype">bool</span> ConjRhs, <span class="keywordtype">int</span> UpLo></div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="keyword">struct </span>tribb_kernel</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span> {</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keyword">typedef</span> gebp_traits<LhsScalar,RhsScalar,ConjLhs,ConjRhs> Traits;</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Traits::ResScalar ResScalar;</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  </div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  BlockSize = EIGEN_PLAIN_ENUM_MAX(mr,nr)</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  };</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordtype">void</span> operator()(ResScalar* res, Index resStride, <span class="keyword">const</span> LhsScalar* blockA, <span class="keyword">const</span> RhsScalar* blockB, Index size, Index depth, <span class="keyword">const</span> ResScalar& alpha, RhsScalar* workspace)</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  {</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  gebp_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs> gebp_kernel;</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer;</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span> </div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="comment">// let's process the block per panel of actual_mc x BlockSize,</span></div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="comment">// again, each is split into three parts, etc.</span></div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keywordflow">for</span> (Index j=0; j<size; j+=BlockSize)</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  {</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  Index actualBlockSize = std::min<Index>(BlockSize,size - j);</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keyword">const</span> RhsScalar* actual_b = blockB+j*depth;</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span> </div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keywordflow">if</span>(UpLo==<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bae70afef0d3ff7aca74e17e85ff6c9f2e">Upper</a>)</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  gebp_kernel(res+j*resStride, resStride, blockA, actual_b, j, depth, actualBlockSize, alpha,</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  -1, -1, 0, 0, workspace);</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span> </div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="comment">// selfadjoint micro block</span></div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  {</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  Index i = j;</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  buffer.setZero();</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="comment">// 1 - apply the kernel on the temporary buffer</span></div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  gebp_kernel(buffer.data(), BlockSize, blockA+depth*i, actual_b, actualBlockSize, depth, actualBlockSize, alpha,</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  -1, -1, 0, 0, workspace);</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="comment">// 2 - triangular accumulation</span></div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keywordflow">for</span>(Index j1=0; j1<actualBlockSize; ++j1)</div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  {</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  ResScalar* r = res + (j+j1)*resStride + i;</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keywordflow">for</span>(Index i1=UpLo==<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910baf886b397626076218462d53d50eb96bc">Lower</a> ? j1 : 0;</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  UpLo==<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910baf886b397626076218462d53d50eb96bc">Lower</a> ? i1<actualBlockSize : i1<=j1; ++i1)</div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  r[i1] += buffer(i1,j1);</div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  }</div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  }</div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span> </div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordflow">if</span>(UpLo==<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910baf886b397626076218462d53d50eb96bc">Lower</a>)</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  {</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  Index i = j+actualBlockSize;</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  gebp_kernel(res+j*resStride+i, resStride, blockA+depth*i, actual_b, size-i, depth, actualBlockSize, alpha,</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  -1, -1, 0, 0, workspace);</div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  }</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  }</div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  }</div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span> };</div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span> </div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span> } <span class="comment">// end namespace internal</span></div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span> </div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span> <span class="comment">// high level API</span></div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span> </div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span> <span class="keyword">template</span><<span class="keyword">typename</span> MatrixType, <span class="keyword">typename</span> ProductType, <span class="keywordtype">int</span> UpLo, <span class="keywordtype">bool</span> IsOuterProduct></div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span> <span class="keyword">struct </span>general_product_to_triangular_selector;</div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span> </div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span> </div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span> <span class="keyword">template</span><<span class="keyword">typename</span> MatrixType, <span class="keyword">typename</span> ProductType, <span class="keywordtype">int</span> UpLo></div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span> <span class="keyword">struct </span>general_product_to_triangular_selector<MatrixType,ProductType,UpLo,true></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">static</span> <span class="keywordtype">void</span> run(MatrixType& mat, <span class="keyword">const</span> ProductType& prod, <span class="keyword">const</span> <span class="keyword">typename</span> MatrixType::Scalar& alpha)</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  {</div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::Scalar Scalar;</div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::Index Index;</div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  </div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::remove_all<typename ProductType::LhsNested>::type Lhs;</div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keyword">typedef</span> internal::blas_traits<Lhs> LhsBlasTraits;</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> LhsBlasTraits::DirectLinearAccessType ActualLhs;</div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::remove_all<ActualLhs>::type _ActualLhs;</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keyword">typename</span> internal::add_const_on_value_type<ActualLhs>::type actualLhs = LhsBlasTraits::extract(prod.lhs());</div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  </div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::remove_all<typename ProductType::RhsNested>::type Rhs;</div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keyword">typedef</span> internal::blas_traits<Rhs> RhsBlasTraits;</div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> RhsBlasTraits::DirectLinearAccessType ActualRhs;</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::remove_all<ActualRhs>::type _ActualRhs;</div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="keyword">typename</span> internal::add_const_on_value_type<ActualRhs>::type actualRhs = RhsBlasTraits::extract(prod.rhs());</div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span> </div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  Scalar actualAlpha = alpha * LhsBlasTraits::extractScalarFactor(prod.lhs().derived()) * RhsBlasTraits::extractScalarFactor(prod.rhs().derived());</div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span> </div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  StorageOrder = (internal::traits<MatrixType>::Flags&<a class="code" href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">RowMajorBit</a>) ? <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a> : <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>,</div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  UseLhsDirectly = _ActualLhs::InnerStrideAtCompileTime==1,</div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  UseRhsDirectly = _ActualRhs::InnerStrideAtCompileTime==1</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  };</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  </div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  internal::gemv_static_vector_if<Scalar,Lhs::SizeAtCompileTime,Lhs::MaxSizeAtCompileTime,!UseLhsDirectly> static_lhs;</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  ei_declare_aligned_stack_constructed_variable(Scalar, actualLhsPtr, actualLhs.size(),</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  (UseLhsDirectly ? <span class="keyword">const_cast<</span>Scalar*<span class="keyword">></span>(actualLhs.data()) : static_lhs.data()));</div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keywordflow">if</span>(!UseLhsDirectly) Map<typename _ActualLhs::PlainObject>(actualLhsPtr, actualLhs.size()) = actualLhs;</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  </div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  internal::gemv_static_vector_if<Scalar,Rhs::SizeAtCompileTime,Rhs::MaxSizeAtCompileTime,!UseRhsDirectly> static_rhs;</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  ei_declare_aligned_stack_constructed_variable(Scalar, actualRhsPtr, actualRhs.size(),</div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  (UseRhsDirectly ? <span class="keyword">const_cast<</span>Scalar*<span class="keyword">></span>(actualRhs.data()) : static_rhs.data()));</div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keywordflow">if</span>(!UseRhsDirectly) Map<typename _ActualRhs::PlainObject>(actualRhsPtr, actualRhs.size()) = actualRhs;</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>  </div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  selfadjoint_rank1_update<Scalar,Index,StorageOrder,UpLo,</div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  LhsBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,</div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  RhsBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex></div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  ::run(actualLhs.size(), mat.data(), mat.outerStride(), actualLhsPtr, actualRhsPtr, actualAlpha);</div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  }</div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span> };</div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span> </div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span> <span class="keyword">template</span><<span class="keyword">typename</span> MatrixType, <span class="keyword">typename</span> ProductType, <span class="keywordtype">int</span> UpLo></div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span> <span class="keyword">struct </span>general_product_to_triangular_selector<MatrixType,ProductType,UpLo,false></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>  <span class="keyword">static</span> <span class="keywordtype">void</span> run(MatrixType& mat, <span class="keyword">const</span> ProductType& prod, <span class="keyword">const</span> <span class="keyword">typename</span> MatrixType::Scalar& alpha)</div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  {</div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::Index Index;</div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  </div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::remove_all<typename ProductType::LhsNested>::type Lhs;</div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keyword">typedef</span> internal::blas_traits<Lhs> LhsBlasTraits;</div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> LhsBlasTraits::DirectLinearAccessType ActualLhs;</div>
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::remove_all<ActualLhs>::type _ActualLhs;</div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keyword">typename</span> internal::add_const_on_value_type<ActualLhs>::type actualLhs = LhsBlasTraits::extract(prod.lhs());</div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  </div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::remove_all<typename ProductType::RhsNested>::type Rhs;</div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keyword">typedef</span> internal::blas_traits<Rhs> RhsBlasTraits;</div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> RhsBlasTraits::DirectLinearAccessType ActualRhs;</div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::remove_all<ActualRhs>::type _ActualRhs;</div>
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keyword">typename</span> internal::add_const_on_value_type<ActualRhs>::type actualRhs = RhsBlasTraits::extract(prod.rhs());</div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span> </div>
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keyword">typename</span> ProductType::Scalar actualAlpha = alpha * LhsBlasTraits::extractScalarFactor(prod.lhs().derived()) * RhsBlasTraits::extractScalarFactor(prod.rhs().derived());</div>
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span> </div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  internal::general_matrix_matrix_triangular_product<Index,</div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keyword">typename</span> Lhs::Scalar, _ActualLhs::Flags&<a class="code" href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">RowMajorBit</a> ? <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a> : <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>, LhsBlasTraits::NeedToConjugate,</div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keyword">typename</span> Rhs::Scalar, _ActualRhs::Flags&<a class="code" href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">RowMajorBit</a> ? <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a> : <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>, RhsBlasTraits::NeedToConjugate,</div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  MatrixType::Flags&<a class="code" href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">RowMajorBit</a> ? <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a> : <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>, UpLo></div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  ::run(mat.cols(), actualLhs.cols(),</div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &actualRhs.coeffRef(0,0), actualRhs.outerStride(),</div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  mat.data(), mat.outerStride(), actualAlpha);</div>
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  }</div>
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span> };</div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span> </div>
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span> <span class="keyword">template</span><<span class="keyword">typename</span> MatrixType, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> UpLo></div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span> <span class="keyword">template</span><<span class="keyword">typename</span> ProductDerived, <span class="keyword">typename</span> _Lhs, <span class="keyword">typename</span> _Rhs></div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span> TriangularView<MatrixType,UpLo>& TriangularView<MatrixType,UpLo>::assignProduct(<span class="keyword">const</span> ProductBase<ProductDerived, _Lhs,_Rhs>& prod, <span class="keyword">const</span> Scalar& alpha)</div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span> {</div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  general_product_to_triangular_selector<MatrixType, ProductDerived, UpLo, (_Lhs::ColsAtCompileTime==1) || (_Rhs::RowsAtCompileTime==1)>::run(m_matrix.const_cast_derived(), prod.derived(), alpha);</div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  </div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</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> </div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span> } <span class="comment">// end namespace Eigen</span></div>
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span> </div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span> <span class="preprocessor">#endif // EIGEN_GENERAL_MATRIX_MATRIX_TRIANGULAR_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__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>GeneralMatrixMatrixTriangular.h</b></li>
<li class="footer">Generated on Mon Oct 28 2013 11:04:24 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>
