Julia code for the book Numerical Linear Algebra
-
Updated
Jan 23, 2023 - Jupyter Notebook
Julia code for the book Numerical Linear Algebra
Learning some numerical linear algebra.
A concise library for solving sparse linear systems with direct methods.
A header-only C++ library for sketching in randomized linear algebra
Own solutions for exercises and MATLAB example codes for "Numerical Linear Algebra" by Lloyd N. Trefethen and David Bau III, 1997
IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
Randomized singular value decomposition (SVD) written in C++14 / Eigen
A Julia package for hierarchically semiseparable (HSS) matrices.
Educational linear algebra algorithms
Numerical experiments on Jacobi SVD algorithm
Python implementation of RLS-Nystrom
Computatinal physics University of Oslo
An improved incremental singular value decomposition(SVD) algorithm
This repository is all the code to go along with my video series on computational Linear algebra.
Hierarchical solvers is an approximate sparse direct solver, written entirely in Julia.
Matrix function for PSBLAS
Probabilistic Linear Solvers for Machine Learning (NeurIPS 2020)
Fast linear algebra library for Java.
MEPACK: Matrix Equation PACKage
Add a description, image, and links to the numerical-linear-algebra topic page so that developers can more easily learn about it.
To associate your repository with the numerical-linear-algebra topic, visit your repo's landing page and select "manage topics."