Wolfram Mathematica Tutorial Collection
Constrained Optimization
Look Inside
Constrained Optimization
Pages: 71, b&w
ISBN: 978-1-57955-061-5
Year: 2008

Constrained optimization problems are problems for which a function f(x) is to be minimized or maximized subject to constraints. Mathematica functions for constrained optimization include Minimize, Maximize, NMinimize and NMaximize for global constrained optimization, FindMinimum for local constrained optimization, and LinearProgramming for efficient and direct access to linear programming methods.

Table of Contents

Introduction | Linear Optimization | Numerical Nonlinear Local Optimization | Numerical Nonlinear Global Optimization | Exact Global Optimization | Comparison of Constrained Optimization Functions | Constrained Optimization References