Collection of Fortran77 subroutines designed to solve large scale eigenvalue problems.
☆353Aug 16, 2026Updated this week
Alternatives and similar repositories for arpack-ng
Users that are interested in arpack-ng are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Arpack++ with patches (C++ interface to ARPACK)☆68Mar 19, 2024Updated 2 years ago
- Distribution of ARPACK with various bug fixes☆23Jun 13, 2013Updated 13 years ago
- Fortran bindings to the FLANN library for performing fast approximate nearest neighbor searches in high dimensional spaces.☆15Jun 29, 2025Updated last year
- Exact diagonalization, Lehmann's representation, Two-particle Green's functions☆50May 9, 2026Updated 3 months ago
- A header-only C++ library for large scale eigenvalue problems☆862Jul 4, 2026Updated last month
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Interpolation in 2D and 3D, object-oriented interfaces☆16Jul 5, 2022Updated 4 years ago
- ScaLAPACK development repository☆170Jul 10, 2026Updated last month
- A library for computing the singular value decomposition of large and sparse or structured matrices.☆14Jun 7, 2026Updated 2 months ago
- Supernodal sparse direct solver. https://portal.nersc.gov/project/sparse/superlu/☆332Aug 4, 2026Updated last week
- LAPACK development repository☆1,890Aug 6, 2026Updated last week
- ☆21Nov 14, 2025Updated 9 months ago
- ☆26Jul 16, 2026Updated last month
- Fortran Library for numerical INTegration of differential equations☆48Jan 22, 2024Updated 2 years ago
- Modern Fortran Interfaces to BLAS and LAPACK☆41May 31, 2026Updated 2 months ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- A header-only C++ redesign of ARPACK using the Eigen library