Software package for computing small dense and large sparse matrix exponentials in Fortran and Matlab. Usable in C/C++.

In Fortran 90, by the MaSe (Matrices Having Structure) Team of the University of Leuven.

Alternative source of LAPACK.

Fortran 77 routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue problems, and singular value problems.

Binaries compiled with Intel Fortran 9.0, links to LAPACK source code, and make file to create binaries. By David Svoboda.

BLZPACK uses the block Lanczos algorithm to solve (generalized) eigenvalue problems, HLZPACK uses the Lanczos algorithm to solve Hermitian eigenvalue problems, and SKYPACK implements algorithms for matrices having a skyline structure. By Osni Marques.

A collection of Fortran subroutines that analyze and solve linear equations and linear least-squares problems. The package solves linear systems whose matrices are general, banded, symmetric indefinite, symmetric positive definite, triangular, and tridiagonal square. In addition, the package computes the QR and singular value decompositions of rectangular matrices and applies them to least-squares problems.

Fortran 95 wrapper that implements matrix operations and computes matrix decompositions using Lapack and the Blas.

Fortran 77 subroutines by Henk A. van der Vorst for the iterative methods GMRESR and BiCGstab(ell). These are methods for the iterative solution of large and typically sparse systems of linear equations with a nonsymmetric matrix.