Python wrapper for the sparse QR decomposition in SuiteSparseQR.
Comparison of Sparse Linear Systems solvers via Cholesky Decomposition.
SPIKE: Sparse Koopman Regularization for Physics-Informed Neural Networks
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.
Python bindings for the SuiteSparse KLU sparse linear solver. PyKLU factors a sparse matrix once and lets you efficiently solve multiple right-hand sides.
Analysis and implementation of the GMRES iterative method for solving sparse linear systems. Numerical Methods course project of Facultad de Ingenieria - UDELAR.
Solve matrix equations in python.
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.
Heat diffusion over a lattice network.
Python bindings for the MUMPS package MUMPS: a parallel sparse direct solver
A collection of utility functions to work with PyTorch sparse tensors
Solve sparse linear systems in JAX using the KLU algorithm
A sparse KLU solver for PyTorch.
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