25 February 2009

[yim182] Engineering Optimization: Theory and Practice - Rao(1996)

A rigorous mathematical approach to identifying a set of design alternatives and selecting the best candidate from within that set, engineering optimization was developed as a means of helping engineers to design systems that are both more efficient and less expensive and to develop new ways of improving the performance of existing systems. Thanks to the breathtaking growth in computer technology that has occurred over the past decade, optimization techniques can now be used to find creative solutions to larger, more complex problems than ever before. As a consequence, optimization is now viewed as an indispensable tool of the trade for engineers working in many different industries, especially the aerospace, automotive, chemical, electrical, and manufacturing industries.

Table of Content :


1. Introduction to Optimization
2. Classical Optimization Techniques
3. Linear Programming I: Simplex Method
4. Linear Programming II: Additional Topics and Extensions
5. Nonlinear Programming I: One-Dimensional Minimization Methods
6. Nonlinear Programming II: Unconstrained Optimization Techniques
7. Nonlinear Programming III: Constrained Optimization Techniques
8. Geometric Programming
9. Dynamic Programming
10. Integer Programming
11. Stochastic Programming
12. Further Topics in Optimization
13. Practical Aspects of Optimization

Appendix A: Convex and Concave Functions
Appendix B: Some Computational Aspects of Optimization
Answers to Selected Problems

# Title : Engineering Optimization: Theory and Practice
# Author : Singiresu S. Rao

# Hardcover: 920 pages
# Publisher: Wiley-Interscience; 3 edition (February 15, 1996)
# Language: English
# ISBN-10: 0471550345
# ISBN-13: 978-0471550341


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