scipy.linalg.lapack.cgesvdx_lwork#

scipy.linalg.lapack.cgesvdx_lwork(m, n, compute_u=1, compute_vh=1) = <flapack function cgesvdx_lwork>#

Query the optimal lwork for cgesvdx.

Parameters:
mint

Number of rows of the matrix.

nint

Number of columns of the matrix.

compute_u{0, 1}, optional

If 1, left singular vectors are computed; if 0, they are not. Default is 1.

compute_vh{0, 1}, optional

If 1, right singular vectors are computed; if 0, they are not. Default is 1.

Returns:
workcomplex

Optimal size of the work array, as a scalar of the routine’s dtype. The same for every range.

infoint

0 on success; if negative, the -info-th argument had an illegal value.