Codes to compute eigenvalues and eigenvectors using the Lanczos algorithm.

Solves the large, sparse, symmetric generalized eigenproblem.

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

Fortran IV subroutines for computing a few eigenvalues of a large (sparse) symmetric matrix.

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 tri...

Fortran 77 code for solving nonlinear equations and nonlinear least squares problems. Five algorithmic paths each include a core subroutine and an easy-to-use driver. The algorithms proceed either from an analytic specification of the Jacobian matrix ...

Multiple precision arithmetic.

Codes for ordinary differential equations from Netlib.

A collection of Fortran solvers for the initial value problem for ordinary differential equation systems.

Solves the weighted orthogonal distance regression problem to find parameter estimates that minimize the sum of the squares of the weighted orthogonal distances between each observed data point and the curve described by a nonlinear equation. Includes...