Principles of Optimal Design
Modeling and Computation

This textbook presents key concepts and algorithms available for solving design optimization problems, with simple examples to demonstrate.

Panos Y. Papalambros (Author), Douglass J. Wilde (Author)

9781107132672, Cambridge University Press

Hardback, published 9 January 2017

504 pages, 75 b/w illus.
25.4 x 19.6 x 2.8 cm, 1.3 kg

'I've recommended this book to several students. It's a great resource for students who need to use optimization for practical purposes, such as a senior project or an assignment at their co-op job. The book has a good balance between the underlying theory and the application of that theory to actual problems.' Diane Peters, University of Michigan

Design optimization is a standard concept in engineering design, and in other disciplines which utilize mathematical decision-making methods. This textbook focuses on the close relationship between a design problem's mathematical model and the solution-driven methods which optimize it. Along with extensive material on modeling problems, this book also features useful techniques for checking whether a model is suitable for computational treatment. Throughout, key concepts are discussed in the context of why and when a particular algorithm may be successful, and a large number of examples demonstrate the theory or method right after it is presented. This book also contains step-by-step instructions for executing a design optimization project - from building the problem statement to interpreting the computer results. All chapters contain exercises from which instructors can easily build quizzes, and a chapter on 'principles and practice' offers the reader tips and guidance based on the authors' vast research and instruction experience.

Preface
Notation
1. Optimization models
2. Model construction
3. Model boundedness
4. Interior optima
5. Boundary optima
6. Local computation
7. Nongradient search
8. Systems design
9. Principles and practice
Notes
References
Author index
Subject index.

Subject Areas: Aerospace & aviation technology [TRP], Transport technology & trades [TR], Technology, engineering, agriculture [T], Optimization [PBU], Mathematics [PB], Mathematics & science [P]