Introduction To Applied Optimization Av Urmila M. Diwekar

<UL><LI>Provides well-written self-contained chapters, including problem sets and exercises, making it ideal for the classroom setting;</LI><P><LI>Introduces applied optimization to the hazardous waste blending problem;</LI><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><LI>Includes an extensive bibliography at the end of each chapter and an index; </LI><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>