fipy.solvers.pysparse.linearLUSolver

Classes

LinearLUSolver([tolerance, iterations, ...])

The LinearLUSolver solves a linear system of equations using LU-factorization.
class fipy.solvers.pysparse.linearLUSolver.LinearLUSolver(tolerance=1e-10, iterations=10, maxIterations=10, precon=None)

Bases: PysparseSolver

The LinearLUSolver solves a linear system of equations using LU-factorization. This method solves systems with a general non-symmetric coefficient matrix using partial pivoting.

The LinearLUSolver is a wrapper class for the the Pysparse superlu.factorize() method.

Creates a LinearLUSolver.

Parameters:

  • tolerance (float) – Required error tolerance.

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

  • precon (Preconditioner) – ignored

__repr__()

Return repr(self).

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