Introduction to Applied Optimization
Urmila M. Diwekar
Springer
<ul><li>Provides well-written self-contained chapters, including problem sets and exercises, making it ideal for the classroom setting;</li> <p> </p><li>Introduces applied optimization to the hazardous waste blending problem;</li> <p></p> <p> </p><li>Explores linear programming, nonlinear programming, discrete optimization, global optimization, optimization under uncertainty, multi-objective optimization, optimal control and stochastic optimal control;</li> <p></p> <p> </p><li>Includes an extensive bibliography at the end of each chapter and an index; </li> <p></p> <p> </p><li>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;</li> <p></p></ul><p>          Solutions manual available upon adoptions.</p>