Introduction to Applied Optimization

This book presents a view of optimization independent of any discipline. This new edition contains two new chapters, one on global optimization and one of a real-world case study that uses the principles from each chapter in the book.

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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.