Description
Over the last few decades, optimization techniques have been streamlined by the use of computers and artificial intelligence methods to analyze more variables (especially under non-linear, multivariable conditions) more quickly than ever before. This book covers all classical linear and nonlinear optimization techniques while focusing on the standard mathematical engine, MATLAB. As with the first edition, the author uses MATLAB in examples for running computer-based optimization problems. New coverage in this edition includes design optimization techniques such as Multidisciplinary Optimization, Explicit Solution for Boundary Value Problems, and Particle Swarm Optimization.
Table of Contents
Chapter 1: Introduction
Chapter 2: Graphical Optimization
Chapter 3: Linear Programming
Chapter 4: Nonlinear Programming
Chapter 5: Numerical Techniques - The One Dimensional Problem
Chapter 6: Numerical Techniques for Unconstrained Optimization
Chapter 7: Numerical Techniques for Constrained Optimization
Chapter 8: Discrete Optimization
Chapter 9: Global Optimization
Chapter 10: Optimization Toolbox from MATLAB
Chapter 11: Hybrid Mathematics: An Application of
P. Venkataraman, PhD, is an associate professor in the Mechanical Engineering Department, Rochester Institute of Technology, Rochester, New York.