fipy.solvers.pyamgx.aggregationAMGSolver

Classes

AggregationAMGSolver([tolerance, ...])

The AggregationAMGSolver is an interface to the aggregation AMG solver in AMGX, with a Jacobi smoother by default.
class fipy.solvers.pyamgx.aggregationAMGSolver.AggregationAMGSolver(tolerance=1e-10, iterations=2000, precon=None, smoother={'max_iters': 1, 'solver': 'BLOCK_JACOBI'}, **kwargs)

Bases: PyAMGXSolver

The AggregationAMGSolver is an interface to the aggregation AMG solver in AMGX, with a Jacobi smoother by default.

Parameters:

  • tolerance (float) – Required error tolerance.

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

  • precon (Preconditioner, optional) –

  • **kwargs – Other AMGX solver options

__repr__()

Return repr(self).

Last updated on Nov 20, 2024. Created using Sphinx 7.1.2.