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<div class="title">matrix_factorisation.hpp</div> </div>
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<a href="a00067.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="a00143.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="l00039"></a><span class="lineno"> 39</span>  <span class="keyword">template</span> <length_t C, length_t R, <span class="keyword">typename</span> T, qualifier P, <span class="keyword">template</span><length_t, length_t, <span class="keyword">typename</span>, qualifier> <span class="keyword">class </span>matType></div>
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<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  GLM_FUNC_DECL matType<C, R, T, P> <a class="code" href="a00209.html#ga5c0b0b7dde6aef33a8c73376fe00ddc6">flipud</a>(matType<C, R, T, P> <span class="keyword">const</span>& in);</div>
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<div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div>
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<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 P, <span class="keyword">template</span><length_t, length_t, <span class="keyword">typename</span>, qualifier> <span class="keyword">class </span>matType></div>
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<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  GLM_FUNC_DECL matType<C, R, T, P> <a class="code" href="a00209.html#ga834fe9f3b29ac4f6636e102dcf6c45be">fliplr</a>(matType<C, R, T, P> <span class="keyword">const</span>& in);</div>
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<div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div>
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<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keyword">template</span> <length_t C, length_t R, <span class="keyword">typename</span> T, qualifier P, <span class="keyword">template</span><length_t, length_t, <span class="keyword">typename</span>, qualifier> <span class="keyword">class </span>matType></div>
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<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  GLM_FUNC_DECL <span class="keywordtype">void</span> <a class="code" href="a00209.html#ga3f35a503ef41c16f83cf6cd8a191aca6">qr_decompose</a>(matType<C, R, T, P> <span class="keyword">const</span>& in, matType<(C < R ? C : R), R, T, P>& q, matType<C, (C < R ? C : R), T, P>& r);</div>
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<div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div>
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<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keyword">template</span> <length_t C, length_t R, <span class="keyword">typename</span> T, qualifier P, <span class="keyword">template</span><length_t, length_t, <span class="keyword">typename</span>, qualifier> <span class="keyword">class </span>matType></div>
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<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  GLM_FUNC_DECL <span class="keywordtype">void</span> <a class="code" href="a00209.html#gac81cf0350006c3f004887fa4fb57880e">rq_decompose</a>(matType<C, R, T, P> <span class="keyword">const</span>& in, matType<(C < R ? C : R), R, T, P>& r, matType<C, (C < R ? C : R), T, P>& q);</div>
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<div class="line"><a name="l00061"></a><span class="lineno"> 61</span> </div>
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<div class="line"><a name="l00063"></a><span class="lineno"> 63</span> }</div>
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<div class="line"><a name="l00064"></a><span class="lineno"> 64</span> </div>
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<div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="preprocessor">#include "matrix_factorisation.inl"</span></div>
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<div class="ttc" id="a00209_html_ga3f35a503ef41c16f83cf6cd8a191aca6"><div class="ttname"><a href="a00209.html#ga3f35a503ef41c16f83cf6cd8a191aca6">glm::qr_decompose</a></div><div class="ttdeci">GLM_FUNC_DECL void qr_decompose(matType< C, R, T, P > const &in, matType<(C< R?C:R), R, T, P > &q, matType< C,(C< R?C:R), T, P > &r)</div><div class="ttdoc">Performs QR factorisation of a matrix. </div></div>
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<div class="ttc" id="a00209_html_gac81cf0350006c3f004887fa4fb57880e"><div class="ttname"><a href="a00209.html#gac81cf0350006c3f004887fa4fb57880e">glm::rq_decompose</a></div><div class="ttdeci">GLM_FUNC_DECL void rq_decompose(matType< C, R, T, P > const &in, matType<(C< R?C:R), R, T, P > &r, matType< C,(C< R?C:R), T, P > &q)</div><div class="ttdoc">Performs RQ factorisation of a matrix. </div></div>
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<div class="ttc" id="a00209_html_ga834fe9f3b29ac4f6636e102dcf6c45be"><div class="ttname"><a href="a00209.html#ga834fe9f3b29ac4f6636e102dcf6c45be">glm::fliplr</a></div><div class="ttdeci">GLM_FUNC_DECL matType< C, R, T, P > fliplr(matType< C, R, T, P > const &in)</div><div class="ttdoc">Flips the matrix columns right and left. </div></div>
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<div class="ttc" id="a00143_html"><div class="ttname"><a href="a00143.html">glm</a></div><div class="ttdef"><b>Definition:</b> <a href="a00003_source.html#l00011">_noise.hpp:11</a></div></div>
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<div class="ttc" id="a00209_html_ga5c0b0b7dde6aef33a8c73376fe00ddc6"><div class="ttname"><a href="a00209.html#ga5c0b0b7dde6aef33a8c73376fe00ddc6">glm::flipud</a></div><div class="ttdeci">GLM_FUNC_DECL matType< C, R, T, P > flipud(matType< C, R, T, P > const &in)</div><div class="ttdoc">Flips the matrix rows up and down. </div></div>
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