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<div class="title">matrix_factorisation.hpp</div> </div>
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<a href="a00659.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>  </div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#pragma once</span></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="comment">// Dependency:</span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include "../glm.hpp"</span></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="preprocessor">#ifndef GLM_ENABLE_EXPERIMENTAL</span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor"># error "GLM: GLM_GTX_matrix_factorisation is an experimental extension and may change in the future. Use #define GLM_ENABLE_EXPERIMENTAL before including it, if you really want to use it."</span></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#elif GLM_MESSAGES == GLM_ENABLE && !defined(GLM_EXT_INCLUDED)</span></div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor"># pragma message("GLM: GLM_GTX_matrix_factorisation extension included")</span></div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  </div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="comment">/*</span></div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="comment">Suggestions:</span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="comment"> - Move helper functions flipud and fliplr to another file: They may be helpful in more general circumstances.</span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="comment"> - Implement other types of matrix factorisation, such as: QL and LQ, L(D)U, eigendecompositions, etc...</span></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="comment">*/</span></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  </div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keyword">namespace </span>glm</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> {</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  </div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keyword">template</span> <length_t C, length_t R, <span class="keyword">typename</span> T, qualifier Q></div>
<div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="a00945.html#ga85003371f0ba97380dd25e8905de1870"> 39</a></span>  GLM_FUNC_DECL mat<C, R, T, Q> <a class="code" href="a00945.html#ga85003371f0ba97380dd25e8905de1870">flipud</a>(mat<C, R, T, Q> <span class="keyword">const</span>& in);</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  </div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">template</span> <length_t C, length_t R, <span class="keyword">typename</span> T, qualifier Q></div>
<div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="a00945.html#gaf39f4e5f78eb29c1a90277d45b9b3feb"> 45</a></span>  GLM_FUNC_DECL mat<C, R, T, Q> <a class="code" href="a00945.html#gaf39f4e5f78eb29c1a90277d45b9b3feb">fliplr</a>(mat<C, R, T, Q> <span class="keyword">const</span>& in);</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  </div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">template</span> <length_t C, length_t R, <span class="keyword">typename</span> T, qualifier Q></div>
<div class="line"><a name="l00053"></a><span class="lineno"><a class="line" href="a00945.html#ga77022dca1aa38add548f9f56a9f8071a"> 53</a></span>  GLM_FUNC_DECL <span class="keywordtype">void</span> <a class="code" href="a00945.html#ga77022dca1aa38add548f9f56a9f8071a">qr_decompose</a>(mat<C, R, T, Q> <span class="keyword">const</span>& in, mat<(C < R ? C : R), R, T, Q>& q, mat<C, (C < R ? C : R), T, Q>& r);</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  </div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keyword">template</span> <length_t C, length_t R, <span class="keyword">typename</span> T, qualifier Q></div>
<div class="line"><a name="l00062"></a><span class="lineno"><a class="line" href="a00945.html#ga4e022709c9e7eaad9d7cc315d2cdb05c"> 62</a></span>  GLM_FUNC_DECL <span class="keywordtype">void</span> <a class="code" href="a00945.html#ga4e022709c9e7eaad9d7cc315d2cdb05c">rq_decompose</a>(mat<C, R, T, Q> <span class="keyword">const</span>& in, mat<(C < R ? C : R), R, T, Q>& r, mat<C, (C < R ? C : R), T, Q>& q);</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  </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>  </div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="preprocessor">#include "matrix_factorisation.inl"</span></div>
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<div class="ttc" id="aa00945_html_gaf39f4e5f78eb29c1a90277d45b9b3feb"><div class="ttname"><a href="a00945.html#gaf39f4e5f78eb29c1a90277d45b9b3feb">glm::fliplr</a></div><div class="ttdeci">GLM_FUNC_DECL mat< C, R, T, Q > fliplr(mat< C, R, T, Q > const &in)</div><div class="ttdoc">Flips the matrix columns right and left.</div></div>
<div class="ttc" id="aa00945_html_ga77022dca1aa38add548f9f56a9f8071a"><div class="ttname"><a href="a00945.html#ga77022dca1aa38add548f9f56a9f8071a">glm::qr_decompose</a></div><div class="ttdeci">GLM_FUNC_DECL void qr_decompose(mat< C, R, T, Q > const &in, mat<(C< R ? C :R), R, T, Q > &q, mat< C,(C< R ? C :R), T, Q > &r)</div><div class="ttdoc">Performs QR factorisation of a matrix.</div></div>
<div class="ttc" id="aa00945_html_ga4e022709c9e7eaad9d7cc315d2cdb05c"><div class="ttname"><a href="a00945.html#ga4e022709c9e7eaad9d7cc315d2cdb05c">glm::rq_decompose</a></div><div class="ttdeci">GLM_FUNC_DECL void rq_decompose(mat< C, R, T, Q > const &in, mat<(C< R ? C :R), R, T, Q > &r, mat< C,(C< R ? C :R), T, Q > &q)</div><div class="ttdoc">Performs RQ factorisation of a matrix.</div></div>
<div class="ttc" id="aa00945_html_ga85003371f0ba97380dd25e8905de1870"><div class="ttname"><a href="a00945.html#ga85003371f0ba97380dd25e8905de1870">glm::flipud</a></div><div class="ttdeci">GLM_FUNC_DECL mat< C, R, T, Q > flipud(mat< C, R, T, Q > const &in)</div><div class="ttdoc">Flips the matrix rows up and down.</div></div>
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