# scipy.sparse.linalg.use_solver

scipy.sparse.linalg.use_solver(**kwargs)

  Select default sparse direct solver to be used.

  Parameters
    useUmfpack bool, optional

      Use UMFPACK over SuperLU. Has effect only if scikits.umfpack is installed. Default: True

    assumeSortedIndices bool, 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.

scipy.sparse.linalg.MatrixRankWarning scipy.sparse.linalg.bicg