A sparse KLU solver for PyTorch.
- Updated
Jan 10, 2022 - Python
A sparse KLU solver for PyTorch.
Solve sparse linear systems in JAX using the KLU algorithm
A collection of utility functions to work with PyTorch sparse tensors
Python bindings for the MUMPS package MUMPS: a parallel sparse direct solver
Heat diffusion over a lattice network.
A neural network implementation that predicts what the solution to a sparse matrix equation will be. The prediction is then fed into a solver (using methods such as Gauss-Seidel, Jacobi, etc.) as the initial guess solution vector. The initial guess is close to the solution and therefore the amount of iterations required for convergence is reduced.
Python wrapper for the sparse QR decomposition in SuiteSparseQR.
Analysis and implementation of the GMRES iterative method for solving sparse linear systems. Numerical Methods course project of Facultad de Ingenieria - UDELAR.
Code of algorithms in IEEE L-CSS article "Pointwise-Sparse Actuator Scheduling for Linear Systems with Controllability Guarantee" by L. Ballotta, G. Joseph, and I. R. Thete.
Comparison of Sparse Linear Systems solvers via Cholesky Decomposition.
Solve matrix equations in python.
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