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Table of contents (7 chapters)
Keywords
About this book
- Provides well-written self-contained chapters, including problem sets and exercises, making it ideal for the classroom setting;
- Introduces applied optimization to the hazardous waste blending problem;
- Explores linear programming, nonlinear programming, discrete optimization, global optimization, optimization under uncertainty, multi-objective optimization, optimal control and stochastic optimal control;
- Includes an extensive bibliography at the end of each chapter and an index;
- GAMS files of case studies for Chapters 2, 3, 4, 5, and 7 are linked to http://www.springer.com/math/book/978-0-387-76634-8;
- Solutions manual available upon adoptions.
Introduction to Applied Optimization is intended for advanced undergraduate and graduate students and will benefit scientists from diverse areas, including engineers.
Reviews
From the reviews:
"The book is well written and the presentation is rigorous and self-contained. The book will be of interest to researchers in various fields as well as undergraduate and graduate students in engineering sciences, management science, and decision science." (I. M. Stancu-Minasian, Zentralblatt MATH, Vol. 1043 (18), 2004)
Authors and Affiliations
Bibliographic Information
Book Title: Introduction to Applied Optimization
Authors: Urmila M. Diwekar
Series Title: Applied Optimization
DOI: https://doi.org/10.1007/978-1-4757-3745-5
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media Dordrecht 2003
eBook ISBN: 978-1-4757-3745-5Published: 09 March 2013
Series ISSN: 1384-6485
Edition Number: 1
Number of Pages: XV, 335
Number of Illustrations: 60 b/w illustrations
Topics: Calculus of Variations and Optimal Control; Optimization, Engineering, general, Industrial Chemistry/Chemical Engineering, Systems Theory, Control, Business and Management, general