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Maple 6 - The World's First Fully Integrated Analytical Computation System

    (Revised December 18, 2000)

This is a package for solving nonlinear optimization problems. The NonlinearProgramming package contains iterative algorithms for finding local minima and maxima of nonlinear functions subject to nonlinear inequality constraints. The algorithms used are
  • Newton's Method for unconstrained problems

  • A primal-dual log-barrier method for constrained problems.

Both algorithms are implemented with special adaptations for nonconvex problems.

The NonlinearProgramming package was developed by Jason Schattman of Waterloo Maple, Inc. The author will cheerfully answer any questions about the package, or about optimization modeling in general.


How to Use the NonlinearProgramming Package
Download the NonlinearProgramming Package

Applications View Document Download Worksheet
Tuning an Automobile Suspension System using Newton's Method for Nonlinear Optimization preview download
Optimal Investing with the Markowitz Model preview download