Design Analysis: Mathematical Modeling of Nonlinear Systems
An integral part of engineering design is the development of models that describe physical behavior or phenomena in mathematical terms. As engineering systems have become more complex, classic linear methods of modeling and analysis have proved inadequate, creating a need for nonlinear models to solve design problems. This text provides an introduction to mathematical modeling of linear and nonlinear systems, with an emphasis on the solution of nonlinear design problems. While encouraging the use of the computer as a tool for modeling and analysis, the aim is to discuss the basic concepts underlying computer techniques and to seek analytical solutions. Among topics covered are exact solution, numerical solution, graphical solution, and approximate solution methods; and the stability of nonlinear systems. Numerous examples show how to apply modeling methods to real engineering systems. The book also includes end-of-chapter problems and case studies of challenging design problems. Intended for senior or beginning graduate students, this text will also serve as a helpful reference for practicing engineers.
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Design Analysis: Mathematical Modeling of Nonlinear Systems
An integral part of engineering design is the development of models that describe physical behavior or phenomena in mathematical terms. As engineering systems have become more complex, classic linear methods of modeling and analysis have proved inadequate, creating a need for nonlinear models to solve design problems. This text provides an introduction to mathematical modeling of linear and nonlinear systems, with an emphasis on the solution of nonlinear design problems. While encouraging the use of the computer as a tool for modeling and analysis, the aim is to discuss the basic concepts underlying computer techniques and to seek analytical solutions. Among topics covered are exact solution, numerical solution, graphical solution, and approximate solution methods; and the stability of nonlinear systems. Numerous examples show how to apply modeling methods to real engineering systems. The book also includes end-of-chapter problems and case studies of challenging design problems. Intended for senior or beginning graduate students, this text will also serve as a helpful reference for practicing engineers.
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Design Analysis: Mathematical Modeling of Nonlinear Systems

Design Analysis: Mathematical Modeling of Nonlinear Systems

by David E. Thompson
Design Analysis: Mathematical Modeling of Nonlinear Systems

Design Analysis: Mathematical Modeling of Nonlinear Systems

by David E. Thompson

Hardcover(New Edition)

$117.00 
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Overview

An integral part of engineering design is the development of models that describe physical behavior or phenomena in mathematical terms. As engineering systems have become more complex, classic linear methods of modeling and analysis have proved inadequate, creating a need for nonlinear models to solve design problems. This text provides an introduction to mathematical modeling of linear and nonlinear systems, with an emphasis on the solution of nonlinear design problems. While encouraging the use of the computer as a tool for modeling and analysis, the aim is to discuss the basic concepts underlying computer techniques and to seek analytical solutions. Among topics covered are exact solution, numerical solution, graphical solution, and approximate solution methods; and the stability of nonlinear systems. Numerous examples show how to apply modeling methods to real engineering systems. The book also includes end-of-chapter problems and case studies of challenging design problems. Intended for senior or beginning graduate students, this text will also serve as a helpful reference for practicing engineers.

Product Details

ISBN-13: 9780521621700
Publisher: Cambridge University Press
Publication date: 01/13/1999
Edition description: New Edition
Pages: 296
Product dimensions: 7.01(w) x 10.00(h) x 0.67(d)

Table of Contents

Preface; Acknowledgments; 1. The design process; 2. Mathematical modeling; 3. Exact solution methods; 4. Numerical solution methods; 5. Graphical solution methods; 6. Approximate solution methods; 7. The stability of nonlinear systems; 8. Case studies; References; Index.
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