dedalus.libraries.matsolvers
Matrix solver wrappers.
Module Contents
- class BandedQR(matrix, array_namespace=np, solver=None)
pybanded QR solve.
- solve(vector)
- QR
- array_namespace
- solver = None
- class BandedSolver(matrix, array_namespace=np, solver=None)
Base class for banded solvers.
- static sparse_to_banded(matrix, u=None, l=None)
Convert sparse matrix to banded format.
- banded = True
- sparse = False
- class BlockInverse(matrix, array_namespace=np, solver=None)
Block inversion solve.
- array_namespace
- solver = None
- class DenseInverse(matrix, array_namespace=np, solver=None)
Dense inversion solve.
- solve(vector)
- matrix_inverse
- solver = None
- class DenseSolver(matrix, array_namespace=np, solver=None)
Base class for dense solvers.
- banded = False
- sparse = False
- class DummySolver(matrix, array_namespace=np, solver=None)
Dummy solver that returns zeros for testing.
- solve(vector)
- class SPQR_solve(matrix, array_namespace=np, solver=None)
SuiteSparse QR solve.
- solve(vector)
- array_namespace
- matrix
- solver = None
- class ScipyBanded(matrix, array_namespace=np, solver=None)
Scipy banded solve.
- solve(vector)
- array_namespace
- solver = None
- class ScipyDenseLU(matrix, array_namespace=np, solver=None)
Scipy dense LU factorized solve.
- solve(vector)
- LU
- array_namespace
- solver = None
- class SolverBase(matrix, array_namespace=np, solver=None)
Abstract base class for all solvers.
- solve(vector)
- abstractmethod solve_H(vector)
- config
- class SparseInverse(matrix, array_namespace=np, solver=None)
Sparse inversion solve.
- solve(vector)
- array_namespace
- solver = None
- class SparseSolver(matrix, array_namespace=np, solver=None)
Base class for sparse solvers.
- banded = False
- sparse = True
- class SuperluColamdFactorized(matrix, array_namespace=np, solver=None)
SuperLU factorized solve with ‘COLAMD’ column permutation.
- permc_spec = 'COLAMD'
- class SuperluColamdFactorizedTranspose(matrix, array_namespace=np, solver=None)
SuperLU factorized solve with ‘COLAMD’ row permutation.
- permc_spec = 'COLAMD'
- trans = 'T'
- class SuperluColamdSpsolve(matrix, array_namespace=np, solver=None)
SuperLU spsolve with ‘COLAMD’ column permutation.
- permc_spec = 'COLAMD'
- class SuperluNaturalFactorized(matrix, array_namespace=np, solver=None)
SuperLU factorized solve with ‘NATURAL’ column permutation.
- permc_spec = 'NATURAL'
- class SuperluNaturalFactorizedTranspose(matrix, array_namespace=np, solver=None)
SuperLU factorized solve with ‘NATURAL’ row permutation.
- permc_spec = 'NATURAL'
- trans = 'T'
- class SuperluNaturalSpsolve(matrix, array_namespace=np, solver=None)
SuperLU spsolve with ‘NATURAL’ column permutation.
- permc_spec = 'NATURAL'
- class UmfpackFactorized(matrix, array_namespace=np, solver=None)
UMFPACK LU factorized solve.
- solve(vector)
- LU
- array_namespace
- solver = None
- class UmfpackSpsolve(matrix, array_namespace=np, solver=None)
UMFPACK spsolve.
- solve(vector)
- array_namespace
- matrix
- solver = None
- class Woodbury(matrix, subproblem, matsolver)
Solve top & right bordered matrix using Woodbury formula.
- solve(Y)
- A
- A_matsolver
- Ainv
- Ainv_U
- Sinv
- Sinv_
- config
- matrix
- matsolver
- add_solver(solver)
- cupy_available = True
- matsolvers
- woodbury_matsolvers