fipy.solvers.trilinos.trilinosMLTest¶
Classes
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This solver class does not actually solve the system, but outputs information about what ML preconditioner settings will work best. |
- class fipy.solvers.trilinos.trilinosMLTest.TrilinosMLTest(tolerance='default', iterations=5, MLOptions={}, testUnsupported=False)¶
Bases:
TrilinosSolver
This solver class does not actually solve the system, but outputs information about what ML preconditioner settings will work best.
For detailed information on the possible parameters for ML, see http://trilinos.sandia.gov/packages/ml/documentation.html
Currently, passing options to Aztec through ML is not supported.
- Parameters:
- 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