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<a href="#func-members">Functions</a> </div> |
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<div class="title">GLM_GTX_matrix_factorisation<div class="ingroups"><a class="el" href="a00287.html">Experimental extensions</a></div></div> </div> |
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<div class="contents"> |
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<p>Include <<a class="el" href="a00081.html" title="GLM_GTX_matrix_factorisation ">glm/gtx/matrix_factorisation.hpp</a>> to use the features of this extension. |
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<a href="#details">More...</a></p> |
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<table class="memberdecls"> |
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a> |
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Functions</h2></td></tr> |
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<tr class="memitem:gaf39f4e5f78eb29c1a90277d45b9b3feb"><td class="memTemplParams" colspan="2">template<length_t C, length_t R, typename T , qualifier Q> </td></tr> |
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<tr class="memitem:gaf39f4e5f78eb29c1a90277d45b9b3feb"><td class="memTemplItemLeft" align="right" valign="top">GLM_FUNC_DECL mat< C, R, T, Q > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="a00336.html#gaf39f4e5f78eb29c1a90277d45b9b3feb">fliplr</a> (mat< C, R, T, Q > const &in)</td></tr> |
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<tr class="memdesc:gaf39f4e5f78eb29c1a90277d45b9b3feb"><td class="mdescLeft"> </td><td class="mdescRight">Flips the matrix columns right and left. <a href="a00336.html#gaf39f4e5f78eb29c1a90277d45b9b3feb">More...</a><br /></td></tr> |
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<tr class="separator:gaf39f4e5f78eb29c1a90277d45b9b3feb"><td class="memSeparator" colspan="2"> </td></tr> |
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<tr class="memitem:ga85003371f0ba97380dd25e8905de1870"><td class="memTemplParams" colspan="2">template<length_t C, length_t R, typename T , qualifier Q> </td></tr> |
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<tr class="memitem:ga85003371f0ba97380dd25e8905de1870"><td class="memTemplItemLeft" align="right" valign="top">GLM_FUNC_DECL mat< C, R, T, Q > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="a00336.html#ga85003371f0ba97380dd25e8905de1870">flipud</a> (mat< C, R, T, Q > const &in)</td></tr> |
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<tr class="memdesc:ga85003371f0ba97380dd25e8905de1870"><td class="mdescLeft"> </td><td class="mdescRight">Flips the matrix rows up and down. <a href="a00336.html#ga85003371f0ba97380dd25e8905de1870">More...</a><br /></td></tr> |
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<tr class="separator:ga85003371f0ba97380dd25e8905de1870"><td class="memSeparator" colspan="2"> </td></tr> |
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<tr class="memitem:gac62d7bfc8dc661e616620d70552cd566"><td class="memTemplParams" colspan="2">template<length_t C, length_t R, typename T , qualifier Q> </td></tr> |
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<tr class="memitem:gac62d7bfc8dc661e616620d70552cd566"><td class="memTemplItemLeft" align="right" valign="top">GLM_FUNC_DECL void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="a00336.html#gac62d7bfc8dc661e616620d70552cd566">qr_decompose</a> (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)</td></tr> |
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<tr class="memdesc:gac62d7bfc8dc661e616620d70552cd566"><td class="mdescLeft"> </td><td class="mdescRight">Performs QR factorisation of a matrix. <a href="a00336.html#gac62d7bfc8dc661e616620d70552cd566">More...</a><br /></td></tr> |
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<tr class="separator:gac62d7bfc8dc661e616620d70552cd566"><td class="memSeparator" colspan="2"> </td></tr> |
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<tr class="memitem:ga82874e2ebe891ba35ac21d9993873758"><td class="memTemplParams" colspan="2">template<length_t C, length_t R, typename T , qualifier Q> </td></tr> |
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<tr class="memitem:ga82874e2ebe891ba35ac21d9993873758"><td class="memTemplItemLeft" align="right" valign="top">GLM_FUNC_DECL void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="a00336.html#ga82874e2ebe891ba35ac21d9993873758">rq_decompose</a> (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)</td></tr> |
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<tr class="memdesc:ga82874e2ebe891ba35ac21d9993873758"><td class="mdescLeft"> </td><td class="mdescRight">Performs RQ factorisation of a matrix. <a href="a00336.html#ga82874e2ebe891ba35ac21d9993873758">More...</a><br /></td></tr> |
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<tr class="separator:ga82874e2ebe891ba35ac21d9993873758"><td class="memSeparator" colspan="2"> </td></tr> |
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
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<p>Include <<a class="el" href="a00081.html" title="GLM_GTX_matrix_factorisation ">glm/gtx/matrix_factorisation.hpp</a>> to use the features of this extension. </p> |
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<p>Functions to factor matrices in various forms </p> |
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<h2 class="groupheader">Function Documentation</h2> |
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<a class="anchor" id="gaf39f4e5f78eb29c1a90277d45b9b3feb"></a> |
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<td class="memname">GLM_FUNC_DECL mat<C, R, T, Q> glm::fliplr </td> |
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<td class="paramtype">mat< C, R, T, Q > const & </td> |
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<td class="paramname"><em>in</em></td><td>)</td> |
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<p>Flips the matrix columns right and left. </p> |
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<p>From GLM_GTX_matrix_factorisation extension. </p> |
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<td class="memname">GLM_FUNC_DECL mat<C, R, T, Q> glm::flipud </td> |
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<td>(</td> |
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<td class="paramtype">mat< C, R, T, Q > const & </td> |
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<td class="paramname"><em>in</em></td><td>)</td> |
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<p>Flips the matrix rows up and down. </p> |
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<p>From GLM_GTX_matrix_factorisation extension. </p> |
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<td class="memname">GLM_FUNC_DECL void glm::qr_decompose </td> |
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<td>(</td> |
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<td class="paramtype">mat< C, R, T, Q > const & </td> |
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<td class="paramname"><em>in</em></td><td>)</td> |
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<p>Performs QR factorisation of a matrix. </p> |
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<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> |
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<p>From GLM_GTX_matrix_factorisation extension. </p> |
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<td class="memname">GLM_FUNC_DECL void glm::rq_decompose </td> |
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<td>(</td> |
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<td class="paramtype">mat< C, R, T, Q > const & </td> |
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<td class="paramname"><em>in</em></td><td>)</td> |
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<td></td> |
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</tr> |
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</table> |
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</div><div class="memdoc"> |
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<p>Performs RQ factorisation of a matrix. </p> |
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<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> |
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<p>From GLM_GTX_matrix_factorisation extension. </p> |
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