fipy.solvers.pyamgx.linearBiCGStabSolver

Classes

LinearBiCGStabSolver([tolerance, criterion, ...])

The LinearBiCGStabSolver is an interface to the PBICGSTAB solver in AMGX, with a Jacobi preconditioner by default.
class fipy.solvers.pyamgx.linearBiCGStabSolver.LinearBiCGStabSolver(tolerance='default', criterion='default', iterations='default', precon='default', smoother='default', **kwargs)

Bases: PyAMGXSolver

The LinearBiCGStabSolver is an interface to the PBICGSTAB solver in AMGX, with a Jacobi preconditioner by default.

Parameters:

  • tolerance (float) – Required error tolerance.

  • criterion ({'default', 'unscaled', 'RHS', 'matrix', 'initial', 'legacy'}) – Interpretation of tolerance. See Convergence for more information.

  • iterations (int) – Maximum number of iterative steps to perform.

  • precon (PyAMGXPreconditioner, optional) –

  • smoother (Smoother, optional) –

  • **kwargs – Other AMGX solver options

DEFAULT_ITERATIONS = 1000

Default maximum number of iterative steps to perform

DEFAULT_PRECONDITIONER

alias of JacobiPreconditioner

DEFAULT_SMOOTHER = None

Default smoother to apply to the ???

DEFAULT_TOLERANCE = 1e-05

Default tolerance for linear solves unless criterion=”legacy”

LEGACY_TOLERANCE = 1e-10

Default tolerance for linear solves if criterion=”legacy”

__repr__()

Return repr(self).

property default_tolerance

Default tolerance for linear solve

Last updated on Jun 26, 2024. Created using Sphinx 7.1.2.