linear_block_gs.py

Define the LinearBlockGS class.

class openmdao.solvers.linear.linear_block_gs.LinearBlockGS(**kwargs)

Bases: BlockLinearSolver

Linear block Gauss-Seidel solver.

Parameters:

**kwargsdict

Options dictionary.

Attributes:

_delta_d_n_1ndarray

Cached change in the d_output vectors for the previous iteration. Only used if the aitken acceleration option is turned on.

_theta_n_1float

Cached relaxation factor from previous iteration. Only used if the aitken acceleration option is turned on.

Methods

add_recorder(recorder)	Add a recorder to the solver's RecordingManager.
can_solve_cycle()	Return True if this solver can solve groups with cycles.
check_config(logger)	Perform optional error checks.
cleanup()	Clean up resources prior to exit.
does_recursive_applies()	Return True.
get_outputs_dir(*subdirs[, mkdir])	Get the path under which all output files of this solver are to be placed.
get_reports_dir()	Get the path to the directory where the report files should go.
preferred_sparse_format()	Return the preferred sparse format for the dr/do matrix of a split jacobian.
record_iteration(**kwargs)	Record an iteration of the current Solver.
report_failure(msg)	Report a failure that has occurred.
solve(mode[, rel_systems])	Run the solver.
use_relevance()	Return True if relevance should be active.

SOLVER = 'LN: LNBGS'

__init__(**kwargs)

Initialize all attributes.