A set of Fortran routines for optimization developed at the University of São Paulo. Includes downloads, test problems, and related publications.

Fortran 77 routines for Optimization developed at the Department of Applied Mathematics of the State University of Campinas and at the Department of Computer Science of the University of São Paulo, under the coordination of Professor J. M. Martínez. O...

Links to global optimization code, mainly in Fortran 77 and C, but some links to local minimizers as well.

Sells Fortran 77 optimization codes MINOS (linear programming and nonlinear optimization), SNOPT (large-scale quadratic and nonlinear programming), NPSOL (nonlinear programming), LSSOL (Linearly constrained linear least squares problems and convex qua...

Linear and non-linear optimization, constrained and unconstrained. Mainly Fortran 77 but some in C.

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 ...

Testing environment for optimization and linear algebra solvers. The package includes a collection of test problems, along with Fortran 77, Fortran 90/95 and Matlab tools intended to help developers design, compare and improve new and existing solvers.

Initializes a random sample of individuals with different parameters to be optimized using the genetic algorithm approach -- evolution via survival of the fittest. By David Carroll.

Trust region Newton method for the solution of large bound-constrained optimization problems, by Chih-Jen Lin and Jorge More.

Codes from journal, in Fortran, Matlab, C, and C++.