matrix_factorisation.hpp

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#pragma once
 
// Dependency:
#include "../glm.hpp"
 
#ifndef GLM_ENABLE_EXPERIMENTAL
#       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."
#elif GLM_MESSAGES == GLM_ENABLE && !defined(GLM_EXT_INCLUDED)
#       pragma message("GLM: GLM_GTX_matrix_factorisation extension included")
#endif
 
/*
Suggestions:
 - Move helper functions flipud and fliplr to another file: They may be helpful in more general circumstances.
 - Implement other types of matrix factorisation, such as: QL and LQ, L(D)U, eigendecompositions, etc...
*/
 
namespace glm
{
 
        template <length_t C, length_t R, typename T, qualifier Q>
        GLM_FUNC_DECL mat<C, R, T, Q> flipud(mat<C, R, T, Q> const& in);
 
        template <length_t C, length_t R, typename T, qualifier Q>
        GLM_FUNC_DECL mat<C, R, T, Q> fliplr(mat<C, R, T, Q> const& in);
 
        template <length_t C, length_t R, typename T, qualifier Q>
        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);
 
        template <length_t C, length_t R, typename T, qualifier Q>
        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);
 
}
 
#include "matrix_factorisation.inl"