Design preconditioners with a CNN to accelerate the conjugate gradient method.
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Updated
May 22, 2024 - C++
Design preconditioners with a CNN to accelerate the conjugate gradient method.
Linear Operators for Julia
Structured Matrix Package (LBNL)
Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more)
Tensorflow implementation of preconditioned stochastic gradient descent
A Julia implementation of incomplete LU factorization with zero level of fill in.
Hybrid-Incomplete-Factorization preconditioners with Iterative Refinements for KSP solvers.
A set of useful algebraic preconditioners for iterative numerical linear-algebraic methods.
Direct optimisation of BPX preconditioners
MATLAB/Octave interface for HIFIR (https://github.com/hifirworks/hifir)
Python interface for HIFIR (https://github.com/hifirproject/hifir)
Project that explores parallel preconditioned conjugate gradient method
R package for solving system of linear equations using (preconditioned) conjugate gradient algorithm, with improved efficiency using C++ Armadillo linear algebra library, and flexibility for user-specified preconditioning method.
ITerative SOLvers package
geneo4PETSc - implementation of the GenEO preconditioner with PETSc and SLEPc.
AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)
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