Introduction to Global Optimization (Nonconvex Optimization and Its Applications, 3)
Language: English
Published by Springer, 1995
- Softcover
- New
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- Title
- Introduction to Global Optimization (Nonconvex Optimization and Its Applications, 3)
- Author
- Horst, R.; Pardalos, Panos M.; Nguyen Van Thoai
- Publisher
- Springer
- Publication year
- 1995
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0792335570
- ISBN 13
- 9780792335573
Most of the existing books on optimization focus on the problem of computing locally optimal solutions. Introduction to Global Optimization, however, is a comprehensive textbook on constrained global optimization that covers the fundamentals of the subject, presenting much new material, including algorithms, applications and complexity results for quadratic programming, concave minimization, DC and Lipschitz problems, and nonlinear network flow. Each chapter contains illustrative examples and ends with carefully selected exercises, designed to help students grasp the material and enhance their knowledge of the methods involved.
Audience: Students of mathematical programming, and all scientists, from whatever discipline, who need global optimization methods in such diverse areas as economic modelling, fixed charges, finance, networks and transportation, databases, chip design, image processing, nuclear and mechanical design, chemical engineering design and control, molecular biology, and environmental engineering.
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Review
Mathematical Reviews, 96g:90001
`The authors provide a nice selection of homework exercises (with solutions) at an appropriate level and a good mixture of theory, application, and numerical problems throughout the text. The text would be perfect for a course on global optimization.'
Interfaces, 28 (1998)
`Overall, this book provides an excellent introduction to the fascinating field of global optimization. The authors have used their extensive knowledge of and perspective on the field to create a coherent text that is accessible to a large audience that includes both students of mathematical programming and scientists who utilize optimization in their work.'
Journal of Global Optimization, 9 (1996)
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