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trilinos Package Documentation

This page contains the trilinos Package documentation.

The linearBicgstabSolver Module

class fipy.solvers.trilinos.linearBicgstabSolver.LinearBicgstabSolver(tolerance=1e-10, iterations=1000, steps=None, precon=<fipy.solvers.trilinos.preconditioners.jacobiPreconditioner.JacobiPreconditioner instance at 0x10f961c68>)

Bases: fipy.solvers.trilinos.trilinosAztecOOSolver.TrilinosAztecOOSolver

The LinearBicgstabSolver is an interface to the biconjugate gradient stabilized solver in Trilinos, using the JacobiPreconditioner by default.

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.

The linearCGSSolver Module

class fipy.solvers.trilinos.linearCGSSolver.LinearCGSSolver(tolerance=1e-10, iterations=1000, steps=None, precon=<fipy.solvers.trilinos.preconditioners.multilevelDDPreconditioner.MultilevelDDPreconditioner instance at 0x10f961320>)

Bases: fipy.solvers.trilinos.trilinosAztecOOSolver.TrilinosAztecOOSolver

The LinearCGSSolver is an interface to the cgs solver in Trilinos, using the MultilevelSGSPreconditioner by default.

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.

The linearGMRESSolver Module

class fipy.solvers.trilinos.linearGMRESSolver.LinearGMRESSolver(tolerance=1e-10, iterations=1000, steps=None, precon=<fipy.solvers.trilinos.preconditioners.multilevelDDPreconditioner.MultilevelDDPreconditioner instance at 0x10f9612d8>)

Bases: fipy.solvers.trilinos.trilinosAztecOOSolver.TrilinosAztecOOSolver

The LinearGMRESSolver is an interface to the gmres solver in Trilinos, using a the MultilevelDDPreconditioner by default.

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.

The linearLUSolver Module

class fipy.solvers.trilinos.linearLUSolver.LinearLUSolver(tolerance=1e-10, iterations=10, steps=None, precon=None, maxIterations=10)

Bases: fipy.solvers.trilinos.trilinosSolver.TrilinosSolver

The LinearLUSolver is an interface to the Amesos KLU solver in Trilinos.

Parameters :
  • tolerance: The required error tolerance.
  • iterations: The maximum number of iterative steps to perform.
  • steps: A deprecated name for iterations.

The linearPCGSolver Module

class fipy.solvers.trilinos.linearPCGSolver.LinearPCGSolver(tolerance=1e-10, iterations=1000, steps=None, precon=<fipy.solvers.trilinos.preconditioners.multilevelDDPreconditioner.MultilevelDDPreconditioner instance at 0x10f9610e0>)

Bases: fipy.solvers.trilinos.trilinosAztecOOSolver.TrilinosAztecOOSolver

The LinearPCGSolver is an interface to the cg solver in Trilinos, using the MultilevelSGSPreconditioner by default.

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.

The trilinosAztecOOSolver Module

class fipy.solvers.trilinos.trilinosAztecOOSolver.TrilinosAztecOOSolver(tolerance=1e-10, iterations=1000, steps=None, precon=<fipy.solvers.trilinos.preconditioners.jacobiPreconditioner.JacobiPreconditioner instance at 0x10f961290>)

Bases: fipy.solvers.trilinos.trilinosSolver.TrilinosSolver

Attention

This class is abstract, always create on of its subclasses. It provides the code to call all solvers from the Trilinos AztecOO package.

Parameters :
  • tolerance: The required error tolerance.
  • iterations: The maximum number of iterative steps to perform.
  • steps: A deprecated name for iterations.
  • precon: Preconditioner object to use.

The trilinosMLTest Module

class fipy.solvers.trilinos.trilinosMLTest.TrilinosMLTest(tolerance=1e-10, iterations=5, steps=None, MLOptions={}, testUnsupported=False)

Bases: fipy.solvers.trilinos.trilinosSolver.TrilinosSolver

This solver class does not actually solve the system, but outputs information about what ML preconditioner settings will work best.

Parameters :
  • tolerance: The required error tolerance.
  • iterations: The maximum number of iterations to perform per test.
  • steps: A deprecated name for iterations.
  • MLOptions: Options to pass to ML. A dictionary of {option:value} pairs. This will be passed to ML.SetParameterList.
  • testUnsupported: test smoothers that are not currently implemented in preconditioner objects.

For detailed information on the possible parameters for ML, see http://trilinos.sandia.gov/packages/ml/documentation.html

Currently, passing options to Aztec through ML is not supported.

The trilinosSolver Module

class fipy.solvers.trilinos.trilinosSolver.TrilinosSolver(*args, **kwargs)

Bases: fipy.solvers.solver.Solver

Attention

This class is abstract. Always create one of its subclasses.