Engineering optimization : theory and practice
Author(s)
Bibliographic Information
Engineering optimization : theory and practice
（A Wiley-Interscience publication）
John Wiley & Sons, c1996
3rd ed
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
This book discusses linear and nonlinear programming, dynamic programming, integer programming and stochastic programming. Examples taken from actual engineering designs demonstrate each method and showing how to maximize the desired benefit and minimize the negative aspects of project design. Computer programs are included for solving both linear and nonlinear problems.
Table of Contents
Introduction to Optimization. Classical Optimization Techniques. Linear Programming I: Simplex Method. Linear Programming II: Additional Topics and Extensions. Nonlinear Programming I: One-Dimensional Minimization Methods. Nonlinear Programming II: Unconstrained Optimization Techniques. Nonlinear Programming III: Constrained Optimization Techniques. Geometric Programming. Dynamic Programming. Integer Programming. Stochastic Programming. Further Topics in Optimization. Practical Aspects of Optimization. Appendices. Answers to Selected Problems. Index.
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