gelsd

Computes the minimum-norm solution to a linear least squares problem using the singular value decomposition with a rank decision based on rcond.

size_t gelsd(Slice!(T*, 2, Canonical) a, Slice!(T*, 2, Canonical) b, Slice!(T*) s, T rcond, size_t rank, Slice!(T*) work, Slice!(lapackint*) iwork)
@trusted pure nothrow @nogc
size_t
gelsd
(
T
)
(
Slice!(T*, 2, Canonical) a
,
Slice!(T*, 2, Canonical) b
,
Slice!(T*) s
,
T rcond
,
ref size_t rank
,
Slice!(T*) work
,
Slice!(lapackint*) iwork
)
if (
!isComplex!T
)
size_t gelsd(Slice!(T*, 2, Canonical) a, Slice!(T*, 2, Canonical) b, Slice!(realType!T*) s, realType!T rcond, size_t rank, Slice!(T*) work, Slice!(realType!T*) rwork, Slice!(lapackint*) iwork)