Rust sparse LU decomposition using Gilbert and Peierls method
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Updated
Sep 17, 2023 - Rust
Rust sparse LU decomposition using Gilbert and Peierls method
Analysis and implementation of the GMRES iterative method for solving sparse linear systems. Numerical Methods course project of Facultad de Ingenieria - UDELAR.
Heat diffusion over a lattice network.
Comparison of Sparse Linear Systems solvers via Cholesky Decomposition.
A Parallel Multithreaded Sparse Triangular Linear System Solver
Sparse LU factorization with partial pivoting in Rust
Fortran Package Manager version of LSMR: Sparse Equations and Least Squares
Fortran wrapper for AMGCL with OpenMP/OpenCL support
A refactored version of SPARSKIT2 from Fortran77 to Fortran95
LDL factorisation for quasi-definite linear systems
GNU Octave sparsersb plugin sources mirror
This project shows how to develop and solve sparse Ax=b system. PETSc is utilised for the iterative solution.
Parallel GMRES for solving sparse linear systems
Dummy repository for libHSL
Golang implementation of lis
This is a sparse iterative parallel linear solver I developed during my PhD. The solver works by splitting the matrix into blocks which are then solved in parallel. The solver assumes the input matrix to already have been ordered by a Reverse Cuthill-Mckee reordering algorithm.
COLAMD column approximate minimum degree ordering algorithm
A vizualiser for sparse matrices
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.
Cross platform algebraic multigrid implementation using C++, Eigen3, and Catch2.
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