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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 = "a00896.html" > Experimental extensions< / a > < / div > < / div > < / div >
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Functions< / h2 > < / td > < / tr >
< 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 = "a00945.html#gaf39f4e5f78eb29c1a90277d45b9b3feb" > fliplr< / a > (mat< C, R, T, Q > const & in)< / td > < / tr >
< tr class = "memdesc:gaf39f4e5f78eb29c1a90277d45b9b3feb" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Flips the matrix columns right and left. < a href = "a00945.html#gaf39f4e5f78eb29c1a90277d45b9b3feb" > More...< / a > < br / > < / 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 = "a00945.html#ga85003371f0ba97380dd25e8905de1870" > flipud< / a > (mat< C, R, T, Q > const & in)< / td > < / tr >
< tr class = "memdesc:ga85003371f0ba97380dd25e8905de1870" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Flips the matrix rows up and down. < a href = "a00945.html#ga85003371f0ba97380dd25e8905de1870" > More...< / a > < br / > < / td > < / tr >
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< tr class = "memitem:ga77022dca1aa38add548f9f56a9f8071a" > < td class = "memTemplParams" colspan = "2" > template< length_t C, length_t R, typename T , qualifier Q> < / td > < / tr >
< tr class = "memitem:ga77022dca1aa38add548f9f56a9f8071a" > < td class = "memTemplItemLeft" align = "right" valign = "top" > GLM_FUNC_DECL void  < / td > < td class = "memTemplItemRight" valign = "bottom" > < a class = "el" href = "a00945.html#ga77022dca1aa38add548f9f56a9f8071a" > 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 >
< tr class = "memdesc:ga77022dca1aa38add548f9f56a9f8071a" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Performs QR factorisation of a matrix. < a href = "a00945.html#ga77022dca1aa38add548f9f56a9f8071a" > More...< / a > < br / > < / td > < / tr >
< tr class = "separator:ga77022dca1aa38add548f9f56a9f8071a" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
< tr class = "memitem:ga4e022709c9e7eaad9d7cc315d2cdb05c" > < td class = "memTemplParams" colspan = "2" > template< length_t C, length_t R, typename T , qualifier Q> < / td > < / tr >
< tr class = "memitem:ga4e022709c9e7eaad9d7cc315d2cdb05c" > < td class = "memTemplItemLeft" align = "right" valign = "top" > GLM_FUNC_DECL void  < / td > < td class = "memTemplItemRight" valign = "bottom" > < a class = "el" href = "a00945.html#ga4e022709c9e7eaad9d7cc315d2cdb05c" > 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 >
< tr class = "memdesc:ga4e022709c9e7eaad9d7cc315d2cdb05c" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Performs RQ factorisation of a matrix. < a href = "a00945.html#ga4e022709c9e7eaad9d7cc315d2cdb05c" > More...< / a > < br / > < / td > < / tr >
< tr class = "separator:ga4e022709c9e7eaad9d7cc315d2cdb05c" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
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< / table >
< a name = "details" id = "details" > < / a > < h2 class = "groupheader" > Detailed Description< / h2 >
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< p > Include < < a class = "el" href = "a00659.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 >
< h2 class = "groupheader" > Function Documentation< / h2 >
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< a id = "gaf39f4e5f78eb29c1a90277d45b9b3feb" > < / a >
< h2 class = "memtitle" > < span class = "permalink" > < a href = "#gaf39f4e5f78eb29c1a90277d45b9b3feb" > ◆ < / a > < / span > fliplr()< / h2 >
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< div class = "memitem" >
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< td class = "memname" > GLM_FUNC_DECL mat< C, R, T, Q> glm::fliplr < / td >
< td > (< / td >
< td class = "paramtype" > mat< C, R, T, Q > const &   < / td >
< td class = "paramname" > < em > in< / em > < / td > < td > )< / td >
< td > < / td >
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< p > Flips the matrix columns right and left. < / p >
< p > From GLM_GTX_matrix_factorisation extension. < / p >
< / div >
< / div >
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< a id = "ga85003371f0ba97380dd25e8905de1870" > < / a >
< h2 class = "memtitle" > < span class = "permalink" > < a href = "#ga85003371f0ba97380dd25e8905de1870" > ◆ < / a > < / span > flipud()< / h2 >
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< div class = "memitem" >
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< td class = "memname" > GLM_FUNC_DECL mat< C, R, T, Q> glm::flipud < / td >
< td > (< / td >
< td class = "paramtype" > mat< C, R, T, Q > const &   < / td >
< td class = "paramname" > < em > in< / em > < / td > < td > )< / td >
< td > < / td >
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< p > Flips the matrix rows up and down. < / p >
< p > From GLM_GTX_matrix_factorisation extension. < / p >
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< / div >
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< a id = "ga77022dca1aa38add548f9f56a9f8071a" > < / a >
< h2 class = "memtitle" > < span class = "permalink" > < a href = "#ga77022dca1aa38add548f9f56a9f8071a" > ◆ < / a > < / span > qr_decompose()< / h2 >
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< td class = "memname" > GLM_FUNC_DECL void glm::qr_decompose < / td >
< td > (< / td >
< td class = "paramtype" > mat< C, R, T, Q > const &   < / td >
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< td class = "paramname" > < em > in< / em > , < / td >
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< td class = "paramtype" > mat< (C< R ? C :R), R, T, Q > &   < / td >
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< td > < / td >
< td class = "paramtype" > mat< C,(C< R ? C :R), T, Q > &   < / td >
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< / tr >
< tr >
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< td > < / td >
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< p > Performs QR factorisation of a matrix. < / p >
< 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 >
< p > From GLM_GTX_matrix_factorisation extension. < / p >
< / div >
< / div >
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< a id = "ga4e022709c9e7eaad9d7cc315d2cdb05c" > < / a >
< h2 class = "memtitle" > < span class = "permalink" > < a href = "#ga4e022709c9e7eaad9d7cc315d2cdb05c" > ◆ < / a > < / span > rq_decompose()< / h2 >
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< div class = "memitem" >
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< td class = "memname" > GLM_FUNC_DECL void glm::rq_decompose < / td >
< td > (< / td >
< td class = "paramtype" > mat< C, R, T, Q > const &   < / td >
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< td class = "paramname" > < em > in< / em > , < / td >
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< td class = "paramtype" > mat< (C< R ? C :R), R, T, Q > &   < / td >
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< td > < / td >
< td class = "paramtype" > mat< C,(C< R ? C :R), T, Q > &   < / td >
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< td > < / td >
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< td > < / td > < td > < / td >
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< p > Performs RQ factorisation of a matrix. < / p >
< 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 >
< p > From GLM_GTX_matrix_factorisation extension. < / p >
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