Constrained Optimization
Pages: 71, b&w
ISBN: 978-1-57955-061-5
Year: 2008
PRINT VERSION:
$ 9.95
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.
Introduction | Linear Optimization | Numerical Nonlinear Local
Optimization | Numerical Nonlinear Global Optimization | Exact Global
Optimization | Comparison of Constrained Optimization Functions |
Constrained Optimization References
