Function SV_decomp_mod (o2scl_linalg)¶
-
template<class mat_t, class mat2_t, class mat3_t, class vec_t, class vec2_t>
void o2scl_linalg::SV_decomp_mod(size_t M, size_t N, mat_t &A, mat2_t &X, mat3_t &V, vec_t &S, vec2_t &work)¶ SV decomposition by the modified Golub-Reinsch algorithm which is better for \( M \gg N \).
This factors matrix
A
of size(M,N)
into\[ A = U~D~V^T \]whereU
is a column-orthogonal matrix of size(M,N)
(stored inA
),D
is a diagonal matrix of size(N,N)
(stored in the vectorS
of sizeN
), andV
is a orthogonal matrix of size(N,N)
. The vectorwork
is a workspace vector of sizeN
and the matrixX
is a workspace of size(N,N)
.