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<div class="title">matrix_factorisation.hpp</div> </div>
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<a href="a00059.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>
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<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#pragma once</span></div>
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<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div>
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<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment">// Dependency:</span></div>
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<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include "../glm.hpp"</span></div>
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<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> </div>
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<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#ifndef GLM_ENABLE_EXPERIMENTAL</span></div>
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<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>
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<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#endif</span></div>
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<div class="line"><a name="l00021"></a><span class="lineno"> 21</span> </div>
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<div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="preprocessor">#if GLM_MESSAGES == GLM_MESSAGES_ENABLED && !defined(GLM_EXT_INCLUDED)</span></div>
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<div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="preprocessor"># pragma message("GLM: GLM_GTX_matrix_factorisation extension included")</span></div>
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<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#endif</span></div>
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<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div>
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<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="comment">/*</span></div>
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<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="comment">Suggestions:</span></div>
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<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="comment"> - Move helper functions flipud and fliplr to another file: They may be helpful in more general circumstances.</span></div>
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<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="comment"> - Implement other types of matrix factorisation, such as: QL and LQ, L(D)U, eigendecompositions, etc...</span></div>
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<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="comment">*/</span></div>
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<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div>
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<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="keyword">namespace </span><a class="code" href="a00135.html">glm</a></div>
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<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> {</div>
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<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div>
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<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keyword">template</span> <length_t C, length_t R, <span class="keyword">typename</span> T, qualifier Q></div>
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<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  GLM_FUNC_DECL mat<C, R, T, Q> <a class="code" href="a00196.html#ga85003371f0ba97380dd25e8905de1870">flipud</a>(mat<C, R, T, Q> <span class="keyword">const</span>& in);</div>
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<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div>
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<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keyword">template</span> <length_t C, length_t R, <span class="keyword">typename</span> T, qualifier Q></div>
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<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  GLM_FUNC_DECL mat<C, R, T, Q> <a class="code" href="a00196.html#gaf39f4e5f78eb29c1a90277d45b9b3feb">fliplr</a>(mat<C, R, T, Q> <span class="keyword">const</span>& in);</div>
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<div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div>
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<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keyword">template</span> <length_t C, length_t R, <span class="keyword">typename</span> T, qualifier Q></div>
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<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  GLM_FUNC_DECL <span class="keywordtype">void</span> <a class="code" href="a00196.html#gac62d7bfc8dc661e616620d70552cd566">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>
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<div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div>
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<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keyword">template</span> <length_t C, length_t R, <span class="keyword">typename</span> T, qualifier Q></div>
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<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  GLM_FUNC_DECL <span class="keywordtype">void</span> <a class="code" href="a00196.html#ga82874e2ebe891ba35ac21d9993873758">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>
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<div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div>
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<div class="line"><a name="l00067"></a><span class="lineno"> 67</span> }</div>
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<div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div>
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<div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="preprocessor">#include "matrix_factorisation.inl"</span></div>
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<div class="ttc" id="a00135_html"><div class="ttname"><a href="a00135.html">glm</a></div><div class="ttdef"><b>Definition:</b> <a href="a00015_source.html#l00020">common.hpp:20</a></div></div>
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<div class="ttc" id="a00196_html_gaf39f4e5f78eb29c1a90277d45b9b3feb"><div class="ttname"><a href="a00196.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>
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<div class="ttc" id="a00196_html_ga82874e2ebe891ba35ac21d9993873758"><div class="ttname"><a href="a00196.html#ga82874e2ebe891ba35ac21d9993873758">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>
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<div class="ttc" id="a00196_html_ga85003371f0ba97380dd25e8905de1870"><div class="ttname"><a href="a00196.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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<div class="ttc" id="a00196_html_gac62d7bfc8dc661e616620d70552cd566"><div class="ttname"><a href="a00196.html#gac62d7bfc8dc661e616620d70552cd566">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>
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