Rust Linear Solver Toolbox

Julia Package for randomized diagonal estimation of matrices and matrix functions

A package for Gaussian random field generation in Julia

Fast and simple benchmarking for Rust projects

Basic linear algebra subroutines for embedded optimization

Clarabel.cpp: C/C++ interface to the Clarabel Interior-point solver for convex conic optimisation problems.

Build and Link Mumps for ALL TARGETS. Redistribution of Mumps as a crate.

Vecchia approximations for Gaussian log-likelihoods

Linear algebra foundation for the Rust programming language

Benchmark tests for Clarabel solver

A header-only C++ library for sketching in randomized linear algebra

Data and codes for the exercises in Randomized Algorithms in Linear Algebra and Scientific Computing by Tamara Kolda and Brett Larsen.

Julia interface to the HSL Mathematical Software Library

Empowering everyone to build reliable and efficient software.

🦀 Small exercises to get you used to reading and writing Rust code!

An interface to various automatic differentiation backends in Julia.

GPU Programming with Julia 2023 - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich

A simple adaptive cross approximation (ACA) factorization in Julia

Plotly.js via Julia made easy.

Schedule-Free Optimization in PyTorch

A lightweight conic solver for second-order cone programming.

A data structure for mathematical optimization problems

MANGO: Low-Cost Open Source Needle Guidance

Julia wrapper of the PROPACK sparse SVD library

A library for computing the singular value decomposition of large and sparse or structured matrices.

Formatted output of timed sections in Julia

interior point solver for general convex conic optimization problems