fipy.solvers.pyAMG.linearPCGSolver

Classes

LinearPCGSolver([tolerance, iterations, precon])

The LinearPCGSolver is an interface to the PCG solver in Scipy, using the PyAMG SmoothedAggregationPreconditioner by default.

class fipy.solvers.pyAMG.linearPCGSolver.LinearPCGSolver(tolerance=1e-15, iterations=2000, precon=<fipy.solvers.pyAMG.preconditioners.smoothedAggregationPreconditioner.SmoothedAggregationPreconditioner object>)

Bases: LinearPCGSolver

The LinearPCGSolver is an interface to the PCG solver in Scipy, using the PyAMG SmoothedAggregationPreconditioner by default.

Parameters:

• tolerance (float) – Required error tolerance.

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

• precon (SmoothedAggregationPreconditioner, optional) –

__repr__()

Return repr(self).

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