Introduction to Applied Optimization

Introduction to Applied Optimization

Urmila Diwekar

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This text presents a multi-disciplined view of optimization, providing students and researchers with a thorough examination of algorithms, methods, and tools from diverse areas of optimization without introducing excessive theoretical detail. This second edition includes additional topics, including global optimization and a real-world case study using important concepts from each chapter.
Key Features: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. click to read more

Categories:
Mathematics – Optimization. Operations Research

Year:
2008

Edition:
2nd

Publisher:
Springer

Language:
english

Pages:
291 / 309

ISBN 10:
0387766340

ISBN 13:
9780387766348

Series:
Springer Optimization and Its Applications 22

File:
PDF, 3.49 MB