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Engineering Optimization: methods and applications

Engineering Optimization: methods and applications

Engineering Optimization: methods and applications
By A. Ravindran, Ken M. Ragsdell, Gintaras V. Reklaitis

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Book Description

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.


Book Details

  • Amazon Sales Rank: #1939835 in Books
  • Brand: A Ravindran
  • Published on: 2006-05-19
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.51" h x 1.56" w x 6.48" l, 2.32 pounds
  • Binding: Hardcover
  • 688 pages

Features

  • Engineering Optimization Methods and Applications

Editorial Reviews

Review
Solutions manual available from the authors. -- The publisher, John Wiley & Sons

From the Publisher
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.


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