warp.optim.linear

Iterative linear solvers for sparse linear systems.

This module provides GPU-accelerated iterative methods for solving linear systems, including conjugate gradient (CG), biconjugate gradient stabilized (BiCGSTAB), conjugate residual (CR), and generalized minimal residual (GMRES) methods.

API

BiCGSTAB	Pre-allocated state for the BiConjugate Gradient Stabilized solver.
CG	Pre-allocated state for the Conjugate Gradient solver.
CR	Pre-allocated state for the Conjugate Residual solver.
GMRES	Pre-allocated state for the restarted Generalized Minimum Residual solver.
LinearOperator	Linear operator to be used as left-hand-side of linear iterative solvers.
LinearSolverState	Pre-allocated state for a linear iterative solver.
aslinearoperator	Cast the dense or sparse matrix A as a LinearOperator.
bicgstab	Compute an approximate solution to a linear system using the Biconjugate Gradient Stabilized method (BiCGSTAB).
cg	Compute an approximate solution to a symmetric, positive-definite linear system using the Conjugate Gradient algorithm.
cr	Compute an approximate solution to a symmetric, positive-definite linear system using the Conjugate Residual algorithm.
gmres	Compute an approximate solution to a linear system using the restarted Generalized Minimum Residual method (GMRES[k]).
preconditioner	Construct and return a preconditioner for an input matrix.