low_rank_toolbox.krylov

Krylov Subspace Methods.

This submodule implements Krylov subspace methods for solving large-scale linear systems, eigenvalue problems, and matrix equations. Krylov methods are particularly effective for large sparse matrices.

Submodules

spaces : Krylov, extended Krylov, and rational Krylov subspace constructions solvers : Iterative solvers for Sylvester and Lyapunov equations utils : Arnoldi and Lanczos iteration algorithms data : Optimal pole selection and precomputed data

Author: Benjamin Carrel, University of Geneva

Modules

data	Precomputed Data and Optimal Parameters.
solvers	Matrix Equation Solvers.
spaces	Krylov Subspace Constructions.
utils	Core Krylov Iteration Algorithms.