This interface overloads the svd
interface from stdlib_linalg
to compute the the singular value decomposition of a Diagonal
matrix .
call svd(A, s [, u] [, vt])
A
: Matrix of Diagonal
type.
It is an intent(in)
argument.
s
: Rank-1 real
array returning the singular values
of A
. It is an intent(out)
argument.
u
(optional) : Rank-2 array of the same kind as A
returning
the left singular vectors of A
as columns. Its
size should be [n, n]
. It is an intent(out)
argument.
vt
(optional) : Rank-2 array of the same kind as A
returning
the right singular vectors of A
as rows. Its
size should be [n, n]
. It is an intent(out)
argument.
Compute the singular value decomposition of a Diagonal
matrix.
Type | Intent | Optional | Attributes | Name | ||
---|---|---|---|---|---|---|
type(Diagonal), | intent(in) | :: | A |
Input matrix. |
||
real(kind=dp), | intent(out), | optional, | allocatable | :: | u(:,:) |
Left singular vectors as columns. |
real(kind=dp), | intent(out), | allocatable | :: | s(:) |
Singular values in descending order. |
|
real(kind=dp), | intent(out), | optional, | allocatable | :: | vt(:,:) |
Right singular vectors as rows. |