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matrix_factorisation.hpp
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1
13 #pragma once
14
15 // Dependency:
16 #include "../glm.hpp"
17
18 #ifndef GLM_ENABLE_EXPERIMENTAL
19 # 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."
20 #endif
21
22 #if GLM_MESSAGES == GLM_MESSAGES_ENABLED && !defined(GLM_EXT_INCLUDED)
23 # pragma message("GLM: GLM_GTX_matrix_factorisation extension included")
24 #endif
25
26 /*
27 Suggestions:
28 - Move helper functions flipud and fliplr to another file: They may be helpful in more general circumstances.
29 - Implement other types of matrix factorisation, such as: QL and LQ, L(D)U, eigendecompositions, etc...
30 */
31
32 namespace glm
33 {
36
40 template <length_t C, length_t R, typename T, qualifier Q>
41 GLM_FUNC_DECL mat<C, R, T, Q> flipud(mat<C, R, T, Q> const& in);
42
46 template <length_t C, length_t R, typename T, qualifier Q>
47 GLM_FUNC_DECL mat<C, R, T, Q> fliplr(mat<C, R, T, Q> const& in);
48
54 template <length_t C, length_t R, typename T, qualifier Q>
55 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);
56
63 template <length_t C, length_t R, typename T, qualifier Q>
64 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);
65
67 }
68
69 #include "matrix_factorisation.inl"
glm
Definition: common.hpp:20
glm::fliplr
GLM_FUNC_DECL mat< C, R, T, Q > fliplr(mat< C, R, T, Q > const &in)
Flips the matrix columns right and left.
glm::rq_decompose
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)
Performs RQ factorisation of a matrix.
glm::flipud
GLM_FUNC_DECL mat< C, R, T, Q > flipud(mat< C, R, T, Q > const &in)
Flips the matrix rows up and down.
glm::qr_decompose
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)
Performs QR factorisation of a matrix.