scipy_iter_solver.py

Define the scipy iterative solver class.

class openmdao.solvers.linear.scipy_iter_solver.ScipyKrylov(**kwargs)

Bases: LinearSolver

The Krylov iterative solvers in scipy.sparse.linalg.

Parameters:

**kwargs{}

Dictionary of options set by the instantiating class/script.

Attributes:

preconSolver

Preconditioner for linear solve. Default is None for no preconditioner.

_lin_rhs_checkerLinearRHSChecker or None

Object for checking the right-hand side of the linear solve.

SOLVER = 'LN: SCIPY'

__init__(**kwargs)

Declare the solver option.

add_recorder(recorder)

Add a recorder to the solver’s RecordingManager.

Parameters:

recorder<CaseRecorder>

A recorder instance to be added to RecManager.

cleanup()

Clean up resources prior to exit.

does_recursive_applies()

Return False.

By default, assume linear solvers don’t do recursive apply_linear calls.

Returns:

bool

True if solver makes recursive apply_linear calls on its subsystems.

get_reports_dir()

Get the path to the directory where the report files should go.

If it doesn’t exist, it will be created.

Returns:

str

The path to the directory where reports should be written.

property msginfo

Return info to prepend to messages.

Returns:

str

Info to prepend to messages.

record_iteration(**kwargs)

Record an iteration of the current Solver.

Parameters:

**kwargsdict

Keyword arguments (used for abs and rel error).

report_failure(msg)

Report a failure that has occurred.

The msg may be printed or ignored depending on the iprint option, and may raise an AnalysisError depending on the err_on_non_converge option.

Parameters:

msgstr

Message indicating the failure.

solve(mode, rel_systems=None)

Run the solver.

Parameters:

modestr

‘fwd’ or ‘rev’.

rel_systemsset of str

Names of systems relevant to the current solve. Deprecated.

use_relevance()

Return True if relevance should be active.

Returns:

bool

True if relevance should be active.