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Christophe Riccio c013b4e58f Updated API doc
2017-08-17 20:39:22 +02:00

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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>&#160;</div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#pragma once</span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;</div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="comment">// Dependency:</span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="preprocessor">#include &quot;../glm.hpp&quot;</span></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;</div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="preprocessor">#ifndef GLM_ENABLE_EXPERIMENTAL</span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="preprocessor"># error &quot;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.&quot;</span></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;</div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="preprocessor">#if GLM_MESSAGES == GLM_MESSAGES_ENABLED &amp;&amp; !defined(GLM_EXT_INCLUDED)</span></div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="preprocessor"># pragma message(&quot;GLM: GLM_GTX_matrix_factorisation extension included&quot;)</span></div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;</div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;<span class="comment">/*</span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="comment">Suggestions:</span></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<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="l00029"></a><span class="lineno"> 29</span>&#160;<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="l00030"></a><span class="lineno"> 30</span>&#160;<span class="comment">*/</span></div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;</div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="keyword">namespace </span><a class="code" href="a00135.html">glm</a></div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;{</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <span class="keyword">template</span> &lt;length_t C, length_t R, <span class="keyword">typename</span> T, qualifier Q&gt;</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; GLM_FUNC_DECL mat&lt;C, R, T, Q&gt; <a class="code" href="a00196.html#ga85003371f0ba97380dd25e8905de1870">flipud</a>(mat&lt;C, R, T, Q&gt; <span class="keyword">const</span>&amp; in);</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <span class="keyword">template</span> &lt;length_t C, length_t R, <span class="keyword">typename</span> T, qualifier Q&gt;</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; GLM_FUNC_DECL mat&lt;C, R, T, Q&gt; <a class="code" href="a00196.html#gaf39f4e5f78eb29c1a90277d45b9b3feb">fliplr</a>(mat&lt;C, R, T, Q&gt; <span class="keyword">const</span>&amp; in);</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <span class="keyword">template</span> &lt;length_t C, length_t R, <span class="keyword">typename</span> T, qualifier Q&gt;</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; GLM_FUNC_DECL <span class="keywordtype">void</span> <a class="code" href="a00196.html#gac62d7bfc8dc661e616620d70552cd566">qr_decompose</a>(mat&lt;C, R, T, Q&gt; <span class="keyword">const</span>&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);</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <span class="keyword">template</span> &lt;length_t C, length_t R, <span class="keyword">typename</span> T, qualifier Q&gt;</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; GLM_FUNC_DECL <span class="keywordtype">void</span> <a class="code" href="a00196.html#ga82874e2ebe891ba35ac21d9993873758">rq_decompose</a>(mat&lt;C, R, T, Q&gt; <span class="keyword">const</span>&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);</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;}</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;<span class="preprocessor">#include &quot;matrix_factorisation.inl&quot;</span></div>
<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>
<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&lt; C, R, T, Q &gt; fliplr(mat&lt; C, R, T, Q &gt; const &amp;in)</div><div class="ttdoc">Flips the matrix columns right and left. </div></div>
<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&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)</div><div class="ttdoc">Performs RQ factorisation of a matrix. </div></div>
<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&lt; C, R, T, Q &gt; flipud(mat&lt; C, R, T, Q &gt; const &amp;in)</div><div class="ttdoc">Flips the matrix rows up and down. </div></div>
<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&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)</div><div class="ttdoc">Performs QR factorisation of a matrix. </div></div>
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