Engineering Optimization: Methods and Applications

Reklaitis, G. V., Ravindran, A., Ragsdell, K. M.

ISBN 10: 0471055794 / ISBN 13: 9780471055792

Published by Wiley-Interscience, 1983

About this Item

Item in good condition and has highlighting/writing on text. Used texts may not contain supplemental items such as CDs, info-trac etc.

Seller Inventory # 00087354772

Bibliographic Details

• Title: Engineering Optimization: Methods and Applications
• Publisher: Wiley-Interscience
• Publication Date: 1983
• Language: English
• ISBN 10: 0471055794
• ISBN 13: 9780471055792
• Binding: Hardcover
• Condition: Good

About this title

Synopsis

A basic text for engineering students and practicing engineers dealing with design problems in all engineering disciplines. Optimization algorithms are developed through illustrative examples. Includes numerical results on the efficiencies of various algorithms, comparison of constrained-optimization methods, and strategies for optimization studies. Also includes several actual case studies.

From the Back Cover

The classic introduction to engineering optimization theory and practice now expanded and updated

Engineering optimization helps engineers zero in on the most effective, efficient solutions to problems. This text provides a practical, real–world understanding of engineering optimization. Rather than belaboring underlying proofs and mathematical derivations, it emphasizes optimization methodology, focusing on techniques and stratagems relevant to engineering applications in design, operations, and analysis. It surveys diverse optimization methods, ranging from those applicable to the minimization of a single–variable function to those most suitable for large–scale, nonlinear constrained problems. New material covered includes the duality theory, interior point methods for solving LP problems, the generalized Lagrange multiplier method and generalization of convex functions, and goal programming for solving multi–objective optimization problems. A practical, hands–on reference and text, Engineering Optimization, Second Edition covers:

• Practical issues, such as model formulation, implementation, starting point generation, and more
• Current, state–of–the–art optimization software
• Three engineering case studies plus numerous examples from chemical, industrial, and mechanical engineering
• Both classical methods and new techniques, such as successive quadratic programming, interior point methods, and goal programming

Excellent for self–study and as a reference for engineering professionals, this Second Edition is also ideal for senior and graduate courses on engineering optimization, including television and online instruction, as well as for in–plant training.