Principles of Optimal Design: Modeling and Computation 2/e (絕)
- 20本以上，享 8.5折
售價
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- 一般書籍
- ISBN：9780521627276
- 作者：Panos Y. Papalambros, Douglass J. Wilde
- 版次：2
- 年份：2000
- 出版商：Cambridge University
- 頁數/規格：390頁
書籍介紹
本書特色
目錄
作者介紹
Description
Principles of Optimal Design puts the concept of optimal design on a rigorous foundation and demonstrates the intimate relationship between the mathematical model that describes a design and the solution methods that optimize it. 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 includes a discussion of 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. Both students and practising engineers will find this book a valuable resource for design project work.
Principles of Optimal Design puts the concept of optimal design on a rigorous foundation and demonstrates the intimate relationship between the mathematical model that describes a design and the solution methods that optimize it. 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 includes a discussion of 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. Both students and practising engineers will find this book a valuable resource for design project work.
Features
- Thoroughly updated to include the latest developments in optimization theory and practice
- Places a strong emphasis on application to real design problems faced by practising engineers
- Includes new case studies that illustrate the creation of optimization models
Table of Contents
1. Optimization models;
2. Model construction;
3. Model boundedness;
4. Interior optima;
5. Boundary optima;
6. Parametric and discrete optima;
7. Local computation;
8. Principles and practice;
References;
Author index;
Subject
index.
1. Optimization models;
2. Model construction;
3. Model boundedness;
4. Interior optima;
5. Boundary optima;
6. Parametric and discrete optima;
7. Local computation;
8. Principles and practice;
References;
Author index;
Subject
index.
Panos Y. Papalambros University of Michigan, Ann Arbor
Douglass J. Wilde Stanford University, California
Douglass J. Wilde Stanford University, California
