Since the first edition was published, computers have become ever more powerful, design engineers are tackling more complex systems, and the term "optimization" is now routinely used to denote a design process with increased speed and quality. This second edition takes account of these developments and brings the original text thoroughly up to date. The book now discusses trust region and convex approximation algorithms. A new chapter focuses on how to construct optimal design models. Three new case studies illustrate the creation of optimization models. The final chapter on optimization practice has been expanded to include computation of derivatives, interpretation of algorithmic results, and selection of algorithms and software.
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Editorial Reviews
Review
From reviews of the First Edition:
"There are many carefully worked out examples and exercises. This is a very well written textbook for a first course in this subject at a beginning graduate level. The reviewer would feel very comfortable teaching a course using this as a textbook." Mathematical Reviews
"...an excellent book...This book is definitely aimed at the engineering design students, and it will be a valuable addition to the libraries of operation researchers, economists, numerical analysts and some computer scientists." Physics in Canada
"The strength of the book is the large number of carefully chosen engineering examples...an excellent text for engineering students. It is well organised, clearly presented and generously illustrated." The Aeronautical Journal Aug 2001
"There are many carefully worked out examples and exercises. This is a very well written textbook for a first course in this subject at a beginning graduate level. The reviewer would feel very comfortable teaching a course using this as a textbook." Mathematical Reviews
"...an excellent book...This book is definitely aimed at the engineering design students, and it will be a valuable addition to the libraries of operation researchers, economists, numerical analysts and some computer scientists." Physics in Canada
"The strength of the book is the large number of carefully chosen engineering examples...an excellent text for engineering students. It is well organised, clearly presented and generously illustrated." The Aeronautical Journal Aug 2001
Book Description
As computers have become more powerful, design engineers have been able to tackle more complex systems, and the term "optimization" is now routinely used to denote a design process with increased speed and quality . This second edition of Principles of Optimal Design takes account of these developments and brings the original text thoroughly up to date. New material includes a discussion of trust region and convex approximation algorithms, how to construct optimal design models, case studies to illustrate the creation of optimization models, and an expanded chapter on computation of derivatives, interpretation of algorithmic results, and selection of algorithms and software.
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Most Helpful Customer Reviews
5 of 5 people found the following review helpful:
5.0 out of 5 stars
A Well Written Engineering Text,
By Tom Dicorcia (Ann Arbor, MI USA) - See all my reviews
This review is from: Principles of Optimal Design: Modeling and Computation (Paperback)
The topic -- Optimal Design -- is difficult and treating it efficiently requires a high ratio of mathematical expressions to prose. Despite this, the authors' prose is superb. This is a very readable advanced engineering text, provided that the reader is well-versed in linear algebra. A lot of care went into the writing, the design, and the consistent use of symbols throughout. The appendix includes and extensive list of references, an author index and a subject index. One shortcoming is that no solutions are given for problems. Students would benefit from having solutions to some subset of the problems.
0 of 1 people found the following review helpful:
4.0 out of 5 stars
good,
By
This review is from: Principles of Optimal Design: Modeling and Computation (Paperback)
Great condition book. Would have been nice if there weren't the stickers from their previous bookstore.
0 of 5 people found the following review helpful:
3.0 out of 5 stars
For math geeks,
By George (TN, US) - See all my reviews
This review is from: Principles of Optimal Design: Modeling and Computation (Paperback)
I am a mechanical engineering major studying for my Masters. This book seems very math-centric. More abstract than practical. However if you need to look under the hood of optimization and are good with symbolic math including gradients, derivatives and the like, this book is ok. However this book is hard to read for an average engineer who does not do math for math's sake. So I recommend this book for a read, but only if you are required to.
George
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Inside This Book
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First Sentence:
Designing is a complex human process that has resisted comprehensive description and understanding. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
monotonicity analysis, convex approximation algorithms, positive null form, second monotonicity principle, total length constraint, regional monotonicity, global solution set, monotonicity table, boundary optima, design optimization models, moving asymptotes, implicit numerical solution, penalty transformation, active set strategy, globally optimal design, active set strategies, differential quadratic form, relaxation theorem, partial minimum, partial minimization, trust region algorithms, feasible domain, tangent subspace, trust region radius, constrained derivatives Key Phrases - Capitalized Phrases (CAPs): (learn more)
Hessian of the Lagrangian, Function Variables Number Functions, Mach Index, Simplex Method, Armijo Line Search, Monotonic Direction Theorem, Repeat Exercise New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Designing is a complex human process that has resisted comprehensive description and understanding. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
monotonicity analysis, convex approximation algorithms, positive null form, second monotonicity principle, total length constraint, regional monotonicity, global solution set, monotonicity table, boundary optima, design optimization models, moving asymptotes, implicit numerical solution, penalty transformation, active set strategy, globally optimal design, active set strategies, differential quadratic form, relaxation theorem, partial minimum, partial minimization, trust region algorithms, feasible domain, tangent subspace, trust region radius, constrained derivatives Key Phrases - Capitalized Phrases (CAPs): (learn more)
Hessian of the Lagrangian, Function Variables Number Functions, Mach Index, Simplex Method, Armijo Line Search, Monotonic Direction Theorem, Repeat Exercise New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 90
books:
See all 90 books this book cites
10
books
cite this book:
See all 10 books citing this book
- Nonlinear Programming: Sequential Unconstrained Minimization Techniques (Classics in Applied Mathematics) by Anthony V. Fiacco in Back Matter (1), and Back Matter (2)
- Patterns of Problem Solving (2nd Edition) by Moshe F. Rubinstein on page 41, and Back Matter
- Geometric Programming : Theory and Application by Richard J. Duffin on page 149, and Back Matter
- Optimization Software Guide (Frontiers in Applied Mathematics) by Jorge J. Moré on page 355, and Back Matter
- Engineering Optimization: methods and applications by A. Ravindran on page 42, and Back Matter
See all 90 books this book cites
- Innovations in Design & Decision Support Systems in Architecture and Urban Planning by Jos P. Van Leeuwen on page 308, and page 323
- Structural Optimization: Status and Promise (Progress in Astronautics and Aeronautics) by Manohar P. Kamat on page 28, and page 98
- Optimal Synthesis Methods for MEMS (Microsystems) by S.G.K. Ananthasuresh on page 12
- The Mechanical Design Process by David Ullman on page 283
- Engineering Design: A Project-Based Introduction by Clive L. Dym in Back Matter
See all 10 books citing this book
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