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."
#endif

#if GLM_MESSAGES == GLM_MESSAGES_ENABLED && !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 P, template<length_t, length_t, typename, qualifier> class matType>
        GLM_FUNC_DECL matType<C, R, T, P> flipud(matType<C, R, T, P> const& in);

        template <length_t C, length_t R, typename T, qualifier P, template<length_t, length_t, typename, qualifier> class matType>
        GLM_FUNC_DECL matType<C, R, T, P> fliplr(matType<C, R, T, P> const& in);

        template <length_t C, length_t R, typename T, qualifier P, template<length_t, length_t, typename, qualifier> class matType>
        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);

        template <length_t C, length_t R, typename T, qualifier P, template<length_t, length_t, typename, qualifier> class matType>
        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);

}

#include "matrix_factorisation.inl"