DLASD |
The DLASD0 type exposes the following members.
Methods| Name | Description | |
|---|---|---|
 | Run | Purpose ======= Using a divide and conquer approach, DLASD0 computes the singular value decomposition (SVD) of a real upper bidiagonal N-by-M matrix B with diagonal D and offdiagonal E, where M = N + SQRE. The algorithm computes orthogonal matrices U and VT such that B = U * S * VT. The singular values S are overwritten on D. A related subroutine, DLASDA, computes only the singular values, and optionally, the singular vectors in compact form. |
Extension Methods| Name | Description | |
|---|---|---|
 | GetEnumNames | (Defined by General) |
| IsValidDouble | (Defined by General) |
See Also