def __init__(self, tolerance=1e-10, iterations=1000, precon=MultilevelDDPreconditioner()): """ :Parameters: - `tolerance`: The required error tolerance. - `iterations`: The maximum number of iterative steps to perform. - `precon`: Preconditioner to use. """ TrilinosAztecOOSolver.__init__(self, tolerance=tolerance, iterations=iterations, precon=precon) self.solver = AztecOO.AZ_cg
def __init__(self, tolerance=1e-10, iterations=1000, precon=MultilevelDDPreconditioner()): """ :Parameters: - `tolerance`: The required error tolerance. - `iterations`: The maximum number of iterative steps to perform. - `precon`: Preconditioner to use. """ TrilinosAztecOOSolver.__init__(self, tolerance=tolerance, iterations=iterations, precon=precon) self.solver = AztecOO.AZ_gmres
def __init__(self, tolerance=1e-10, iterations=1000, steps=None, precon=JacobiPreconditioner()): """ :Parameters: - `tolerance`: The required error tolerance. - `iterations`: The maximum number of iterative steps to perform. - `steps`: A deprecated name for `iterations`. - `precon`: Preconditioner to use. """ TrilinosAztecOOSolver.__init__(self, tolerance=tolerance, iterations=iterations, steps=steps, precon=precon) self.solver = AztecOO.AZ_bicgstab
def __init__(self, tolerance=1e-10, iterations=1000, precon=MultilevelDDPreconditioner()): """ Parameters ---------- tolerance : float Required error tolerance. iterations : int Maximum number of iterative steps to perform. precon : ~fipy.solvers.trilinos.preconditioners.preconditioner.Preconditioner """ TrilinosAztecOOSolver.__init__(self, tolerance=tolerance, iterations=iterations, precon=precon) self.solver = AztecOO.AZ_cgs