Optimization concepts and applications in engineering
Author(s)
Bibliographic Information
Optimization concepts and applications in engineering
Cambridge University Press, 2019
3rd ed
- : hardback
Available at 3 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
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  Tochigi
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  Tokyo
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  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
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  Aichi
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  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
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  United Kingdom
  Germany
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  France
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  United States of America
Note
"First published by Prentice Hall 1999"--T.p. verso
"Second edition published by Cambridge University Press 2011"--T.p. verso
"First paperback edition 2014"--T.p. verso
"Third edition published 2019"--T.p. verso
Includes bibliographical references and index
Description and Table of Contents
Description
Organizations and businesses strive toward excellence, and solutions to problems are based mostly on judgment and experience. However, increased competition and consumer demands require that the solutions be optimum and not just feasible. Theory leads to algorithms. Algorithms need to be translated into computer codes. Engineering problems need to be modeled. Optimum solutions are obtained using theory and computers, and then interpreted. Revised and expanded in its third edition, this textbook integrates theory, modeling, development of numerical methods, and problem solving, thus preparing students to apply optimization to real-world problems. This text covers a broad variety of optimization problems using: unconstrained, constrained, gradient, and non-gradient techniques; duality concepts; multi-objective optimization; linear, integer, geometric, and dynamic programming with applications; and finite element-based optimization. It is ideal for advanced undergraduate or graduate courses in optimization design and for practicing engineers.
Table of Contents
- Preface
- 1. Preliminary concepts
- 2. One-dimensional unconstrained minimization
- 3. Unconstrained optimization
- 4. Linear programming
- 5. Constrained minimization
- 6. Penalty functions, duality, and geometric programming
- 7. Direct search methods for nonlinear optimization
- 8. Multi-objective optimization
- 9. Integer and discrete programming
- 10. Dynamic programming
- 11. Optimization applications for transportation, assignment, and network problems
- 12. Finite element and simulation-based optimization
- Index.
by "Nielsen BookData"