Scipy
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class
pyomo.contrib.pynumero.linalg.scipy_interface.ScipyLU[source] Bases:
DirectLinearSolverInterface-
do_back_solve(rhs: Union[ndarray, BlockVector], raise_on_error: bool = True) Tuple[Optional[Union[ndarray, BlockVector]], LinearSolverResults][source]
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do_numeric_factorization(matrix: Union[spmatrix, BlockMatrix], raise_on_error: bool = True) LinearSolverResults[source]
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do_symbolic_factorization(matrix: Union[spmatrix, BlockMatrix], raise_on_error: bool = True) LinearSolverResults[source]
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solve(matrix: Union[spmatrix, BlockMatrix], rhs: Union[ndarray, BlockVector], raise_on_error: bool = True) Tuple[Optional[Union[ndarray, BlockVector]], LinearSolverResults]
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class
pyomo.contrib.pynumero.linalg.scipy_interface.ScipyIterative(method: Callable, options=None)[source] Bases:
LinearSolverInterface-
solve(matrix: Union[spmatrix, BlockMatrix], rhs: Union[ndarray, BlockVector], raise_on_error: bool = True) Tuple[Optional[Union[ndarray, BlockVector]], LinearSolverResults][source]
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