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<div class="header">  <div class="summary"><a href="#func-members">Functions</a>  </div>  <div class="headertitle"><div class="title">GLM_GTX_matrix_factorisation<div class="ingroups"><a class="el" href="a00705.html">Experimental extensions</a></div></div>  </div></div><!--header--><div class="contents"><table class="memberdecls"><tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>Functions</h2></td></tr><tr class="memitem:gaf39f4e5f78eb29c1a90277d45b9b3feb"><td class="memTemplParams" colspan="2">template&lt;length_t C, length_t R, typename T , qualifier Q&gt; </td></tr><tr class="memitem:gaf39f4e5f78eb29c1a90277d45b9b3feb"><td class="memTemplItemLeft" align="right" valign="top">GLM_FUNC_DECL mat&lt; C, R, T, Q &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="a00753.html#gaf39f4e5f78eb29c1a90277d45b9b3feb">fliplr</a> (mat&lt; C, R, T, Q &gt; const &amp;in)</td></tr><tr class="separator:gaf39f4e5f78eb29c1a90277d45b9b3feb"><td class="memSeparator" colspan="2">&#160;</td></tr><tr class="memitem:ga85003371f0ba97380dd25e8905de1870"><td class="memTemplParams" colspan="2">template&lt;length_t C, length_t R, typename T , qualifier Q&gt; </td></tr><tr class="memitem:ga85003371f0ba97380dd25e8905de1870"><td class="memTemplItemLeft" align="right" valign="top">GLM_FUNC_DECL mat&lt; C, R, T, Q &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="a00753.html#ga85003371f0ba97380dd25e8905de1870">flipud</a> (mat&lt; C, R, T, Q &gt; const &amp;in)</td></tr><tr class="separator:ga85003371f0ba97380dd25e8905de1870"><td class="memSeparator" colspan="2">&#160;</td></tr><tr class="memitem:ga77022dca1aa38add548f9f56a9f8071a"><td class="memTemplParams" colspan="2">template&lt;length_t C, length_t R, typename T , qualifier Q&gt; </td></tr><tr class="memitem:ga77022dca1aa38add548f9f56a9f8071a"><td class="memTemplItemLeft" align="right" valign="top">GLM_FUNC_DECL void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="a00753.html#ga77022dca1aa38add548f9f56a9f8071a">qr_decompose</a> (mat&lt; C, R, T, Q &gt; const &amp;in, mat&lt;(C&lt; R ? C :R), R, T, Q &gt; &amp;q, mat&lt; C,(C&lt; R ? C :R), T, Q &gt; &amp;r)</td></tr><tr class="separator:ga77022dca1aa38add548f9f56a9f8071a"><td class="memSeparator" colspan="2">&#160;</td></tr><tr class="memitem:ga4e022709c9e7eaad9d7cc315d2cdb05c"><td class="memTemplParams" colspan="2">template&lt;length_t C, length_t R, typename T , qualifier Q&gt; </td></tr><tr class="memitem:ga4e022709c9e7eaad9d7cc315d2cdb05c"><td class="memTemplItemLeft" align="right" valign="top">GLM_FUNC_DECL void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="a00753.html#ga4e022709c9e7eaad9d7cc315d2cdb05c">rq_decompose</a> (mat&lt; C, R, T, Q &gt; const &amp;in, mat&lt;(C&lt; R ? C :R), R, T, Q &gt; &amp;r, mat&lt; C,(C&lt; R ? C :R), T, Q &gt; &amp;q)</td></tr><tr class="separator:ga4e022709c9e7eaad9d7cc315d2cdb05c"><td class="memSeparator" colspan="2">&#160;</td></tr></table><a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2><p>Include &lt;<a class="el" href="a00521.html" title="GLM_GTX_matrix_factorisation ">glm/gtx/matrix_factorisation.hpp</a>&gt; to use the features of this extension. </p><p>Functions to factor matrices in various forms </p><h2 class="groupheader">Function Documentation</h2><a id="gaf39f4e5f78eb29c1a90277d45b9b3feb"></a><h2 class="memtitle"><span class="permalink"><a href="#gaf39f4e5f78eb29c1a90277d45b9b3feb">&#9670;&nbsp;</a></span>fliplr()</h2>
<div class="memitem"><div class="memproto">      <table class="memname">        <tr>          <td class="memname">GLM_FUNC_DECL mat&lt;C, R, T, Q&gt; glm::fliplr </td>          <td>(</td>          <td class="paramtype">mat&lt; C, R, T, Q &gt; const &amp;&#160;</td>          <td class="paramname"><em>in</em></td><td>)</td>          <td></td>        </tr>      </table></div><div class="memdoc">
<p>Flips the matrix columns right and left. </p><p>From GLM_GTX_matrix_factorisation extension. </p>
</div></div><a id="ga85003371f0ba97380dd25e8905de1870"></a><h2 class="memtitle"><span class="permalink"><a href="#ga85003371f0ba97380dd25e8905de1870">&#9670;&nbsp;</a></span>flipud()</h2>
<div class="memitem"><div class="memproto">      <table class="memname">        <tr>          <td class="memname">GLM_FUNC_DECL mat&lt;C, R, T, Q&gt; glm::flipud </td>          <td>(</td>          <td class="paramtype">mat&lt; C, R, T, Q &gt; const &amp;&#160;</td>          <td class="paramname"><em>in</em></td><td>)</td>          <td></td>        </tr>      </table></div><div class="memdoc">
<p>Flips the matrix rows up and down. </p><p>From GLM_GTX_matrix_factorisation extension. </p>
</div></div><a id="ga77022dca1aa38add548f9f56a9f8071a"></a><h2 class="memtitle"><span class="permalink"><a href="#ga77022dca1aa38add548f9f56a9f8071a">&#9670;&nbsp;</a></span>qr_decompose()</h2>
<div class="memitem"><div class="memproto">      <table class="memname">        <tr>          <td class="memname">GLM_FUNC_DECL void glm::qr_decompose </td>          <td>(</td>          <td class="paramtype">mat&lt; C, R, T, Q &gt; const &amp;&#160;</td>          <td class="paramname"><em>in</em></td><td>)</td>          <td></td>        </tr>      </table></div><div class="memdoc">
<p>Performs QR factorisation of a matrix. </p><p>Returns 2 matrices, q and r, such that the columns of q are orthonormal and span the same subspace than those of the input matrix, r is an upper triangular matrix, and q*r=in. Given an n-by-m input matrix, q has dimensions min(n,m)-by-m, and r has dimensions n-by-min(n,m).</p><p>From GLM_GTX_matrix_factorisation extension. </p>
</div></div><a id="ga4e022709c9e7eaad9d7cc315d2cdb05c"></a><h2 class="memtitle"><span class="permalink"><a href="#ga4e022709c9e7eaad9d7cc315d2cdb05c">&#9670;&nbsp;</a></span>rq_decompose()</h2>
<div class="memitem"><div class="memproto">      <table class="memname">        <tr>          <td class="memname">GLM_FUNC_DECL void glm::rq_decompose </td>          <td>(</td>          <td class="paramtype">mat&lt; C, R, T, Q &gt; const &amp;&#160;</td>          <td class="paramname"><em>in</em></td><td>)</td>          <td></td>        </tr>      </table></div><div class="memdoc">
<p>Performs RQ factorisation of a matrix. </p><p>Returns 2 matrices, r and q, such that r is an upper triangular matrix, the rows of q are orthonormal and span the same subspace than those of the input matrix, and r*q=in. Note that in the context of RQ factorisation, the diagonal is seen as starting in the lower-right corner of the matrix, instead of the usual upper-left. Given an n-by-m input matrix, r has dimensions min(n,m)-by-m, and q has dimensions n-by-min(n,m).</p><p>From GLM_GTX_matrix_factorisation extension. </p>
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