Presents basic optimization theory and computational algorithms in an informal style for undergraduate and graduate students in engineering, operations research, and management information systems. This book uses all of
Mathematica's symbolic, numerical, and graphical capabilities to develop understanding of optimization algorithms.
Mathematica's graphical capabilities allows for visual comparison of different optimization algorithms. Accompanying CD-ROM contains the implementation of all
Mathematica functions discussed.
Optimization Problem Formulation | Graphical Optimization | Mathematial Preliminaries | Optimality Conditions | Unconstrained Problems | Linear Programming | Interior Point Methods | Quadratic Programming | Constrained Nonlinear Problems | Appendix--An Introduction to
Mathematica
Applied Mathematics
