fipy.solvers.pyamgx.linearLUSolver

class fipy.solvers.pyamgx.linearLUSolver.LinearLUSolver(tolerance='default', absolute_tolerance=0.0, criterion='default', iterations='default', precon='default')

Bases: ScipySolver

Interface to LU-factorization in SciPy.

Create a Solver object.

Parameters:

• tolerance (float) – Required relative error tolerance.

• absolute_tolerance (float) – Required absolute 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 – Preconditioner to use.

DEFAULT_ITERATIONS = 1000

Default maximum number of iterative steps to perform

DEFAULT_PRECONDITIONER = None

Default preconditioner to apply to the matrix

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 Sep 30, 2025. Created using Sphinx 7.1.2.