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