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Lapack ⭐ 1,336

LAPACK development repository

Pure Javascript manually written 👌 implementation of BLAS, Many numerical software applications use BLAS computations, including Armadillo, LAPACK, LINPACK, GNU Octave, Mathematica, MATLAB, NumPy, R, and Julia.

Arpack Ng ⭐ 262

Collection of Fortran77 subroutines designed to solve large scale eigenvalue problems.

Libflame ⭐ 223

High-performance object-based library for DLA computations

DBCSR: Distributed Block Compressed Sparse Row matrix library

A framework for high-performance domain decomposition methods.

OCaml bindings for BLAS/LAPACK (high-performance linear algebra Fortran libraries)

Scalapack ⭐ 107

ScaLAPACK development repository

Sparse Parallel Robust Algorithms Library

A library of parallel sparse linear algebra on high performance computer.

Single precision (float) matrices for R.

Burkardt Fortran 90 ⭐ 39

Classification of John Burkardt's many Fortran 90 codes

Flexiblas ⭐ 32

FlexiBLAS - A BLAS and LAPACK wrapper library with runtime exchangeable backends. This is only a mirror of https://gitlab.mpi-magdeburg.mpg.de/software/flexi

Modern Fortran Interfaces to BLAS and LAPACK

Slicot Reference ⭐ 24

SLICOT - A Fortran subroutines library for systems and control

Modern Fortran sparse linear systems solver

A linear algebra library that provides a user-friendly interface to several BLAS and LAPACK routines.

A massively parallel library for computing the functions of sparse matrices.

Fortran Lapack ⭐ 17

Modularized Fortran LAPACK implementation

A Fortran BLAS library implemented as a free-format module.

Blas Interface ⭐ 9

Interface declarations for basic linear algebra subprograms

Fortran_davidson ⭐ 8

Davidson eigensolver implemented in Fortran

CVM Class Library

Amg4psblas ⭐ 8

A library of parallel sparse preconditionersfor PSBLAS

Expandable And Scalable Infrastructure for Finite Element Methods, EASIFEM, is [Modern Fortran](https://fortran-lang.org) framework for solving partial differential equations (PDEs) using finite element methods. EASIFEM "eases" the efforts to develop scientific programs in Fortran.

High-Performance Kalman Filtering and Smoothing in Python

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