pg_utils.numerics.linalg.StdLinSolver

class pg_utils.numerics.linalg.StdLinSolver

Bases: LinSysSolver

Standard linear solver, built on numpy/scipy, to double precision or other default precision depending on the platform

__init__() → None

Methods

__init__()
eig(A, **kwargs)	Calculate eigenvalues and eigenvectors of a matrix
eig_g(A, B, **kwargs)	Calculate eigenvalues and eigenvectors of a generalized eigenproblem
eigh(A, **kwargs)	Calculate eigenvalues and eigenvectors of a Hermitian matrix
inv(A, **kwargs)	Invert a matrix
solve(A, B[, diag, explicit])	Solve a linear system; this is the final interface for solving linear systems.
solve_diag(A, B, **kwargs)	Solve a diagonal linear system
solve_explicit(A, B, **kwargs)	Solve a linear system via explicit inversion

eig(A: ndarray, **kwargs) → Tuple[ndarray, ndarray]

Calculate eigenvalues and eigenvectors of a matrix

eig_g(A: ndarray, B: ndarray, **kwargs) → Tuple[ndarray]

Calculate eigenvalues and eigenvectors of a generalized eigenproblem

eigh(A: ndarray, **kwargs) → Tuple[ndarray, ndarray]

Calculate eigenvalues and eigenvectors of a Hermitian matrix

inv(A: ndarray, **kwargs) → ndarray

Invert a matrix

solve(A: ndarray, B: ndarray, diag: bool = False, explicit: bool = True, **kwargs) → ndarray

Solve a linear system; this is the final interface for solving linear systems.

solve_diag(A: ndarray, B: ndarray, **kwargs) → ndarray

Solve a diagonal linear system

solve_explicit(A: ndarray, B: ndarray, **kwargs) → ndarray

Solve a linear system via explicit inversion