Principles of Optimal Design
Modeling and Computation
Nonfiction, Science & Nature, Technology, Aeronautics & Astronautics, Mathematics
| Author: | Panos Y. Papalambros, Douglass J. Wilde | ISBN: | 9781316866917 |
| Publisher: | Cambridge University Press | Publication: | January 9, 2017 |
| Imprint: | Cambridge University Press | Language: | English |
| Author: | Panos Y. Papalambros, Douglass J. Wilde |
| ISBN: | 9781316866917 |
| Publisher: | Cambridge University Press |
| Publication: | January 9, 2017 |
| Imprint: | Cambridge University Press |
| Language: | English |
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.
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.
