lib_scipy_linalg module¶
Wrappers for SciPy’s linear solvers.
- class gemseo.algos.linear_solvers.lib_scipy_linalg.ScipyLinalgAlgos[source]
Bases:
LinearSolverLibraryWrapper for scipy linalg sparse linear solvers.
- classmethod get_default_properties(algo_name)[source]
Return the properties of the algorithm.
It states if it requires symmetric, or positive definite matrices for instance.
- Parameters:
algo_name (str) – The algorithm name.
- Returns:
The properties of the solver.
- Return type:
- BASE_INFO_MSG = 'scipy linear solver algorithm stop info: '
- LGMRES_SPEC_OPTS = ('inner_m', 'outer_k', 'outer_v', 'store_outer_av', 'prepend_outer_v')
- OPTIONS_MAP: ClassVar[dict[str, str]] = {'max_iter': 'maxiter', 'preconditioner': 'M', 'store_outer_av': 'store_outer_Av'}
The names of the options in GEMSEO mapping to those in the wrapped library.
- descriptions: dict[str, AlgorithmDescription]
The description of the algorithms contained in the library.
- internal_algo_name: str | None
The internal name of the algorithm used currently.
It typically corresponds to the name of the algorithm in the wrapped library if any.
- methods_map: dict[str, Callable[[ndarray, ndarray, ...], tuple[ndarray, int]]]
The mapping between the solver names and the solvers methods in scipy.sparse.
- opt_grammar: JSONGrammar | None
The grammar defining the options of the current algorithm.
- problem: Any | None
The problem to be solved.
- save_fpath: str
The path to the file to saved the problem when it is not converged and the option save_when_fail is active.