Introduction to Applied Optimization
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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...
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.
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.
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