scipy.sparse.linalg.use_solver¶
-
scipy.sparse.linalg.
use_solver
(**kwargs)[source]¶ Select default sparse direct solver to be used.
- Parameters
- useUmfpackbool, optional
Use UMFPACK over SuperLU. Has effect only if scikits.umfpack is installed. Default: True
- assumeSortedIndicesbool, optional
Allow UMFPACK to skip the step of sorting indices for a CSR/CSC matrix. Has effect only if useUmfpack is True and scikits.umfpack is installed. Default: False
Notes
The default sparse solver is umfpack when available (scikits.umfpack is installed). This can be changed by passing useUmfpack = False, which then causes the always present SuperLU based solver to be used.
Umfpack requires a CSR/CSC matrix to have sorted column/row indices. If sure that the matrix fulfills this, pass
assumeSortedIndices=True
to gain some speed.