LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.
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Updated
Jul 5, 2024 - Julia
LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.
High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
Factorization of Symmetric Matrices
A Julia implementation of incomplete LU factorization with zero level of fill in.
Limited-Memory Factorization of Symmetric Matrices
Approximate Minimum Degree Ordering in Julia
Almost block diagonal matrices factorization and solving in Julia
Implementation of Factor-augmented Vector Autoregressive process (FAVAR(p)).
Contains an implementation of lazily represented matrix structures that allow for the application of the Woodbury Identity.
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