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    Introduction to Applied Optimization

Introduction to Applied Optimization

Urmila M. Diwekar
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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.
      Format: Hardback CONTRIBUTORS: Urmila M. Diwekar EAN: 9783030554033 COUNTRY: Switzerland PAGES: WEIGHT: 746 g HEIGHT: 235 cm
      PUBLISHED BY: Springer Nature Switzerland AG DATE PUBLISHED: 2020-10-30 CITY: GENRE: BUSINESS & ECONOMICS / Operations Research, MATHEMATICS / Applied, MATHEMATICS / Calculus, SCIENCE / System Theory, TECHNOLOGY & ENGINEERING / Engineering (General) WIDTH: 155 cm SPINE:

      Book Themes:

      Cybernetics and systems theory, Management decision making, Operational research, Optimization, Maths for engineers

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      Urmila Diwekar is the president of the Vishwamitra Research, a non-profit research institute that she founded to pursue multidisciplinary research in the areas of Optimization under Uncertainty and Computer-aided Design applied to Energy, Environment, and Sustainability.  From 2002-2004, she was a Professor in the Departments of Chemical Engineering, Bio-Engineering, and Industrial Engineering, and in the Institute for Environmental Science and Policy, at the University of Illinois at Chicago (UIC).  She has a special formal arrangement with UIC where remains as the main advisor for her Ph.D. and M.S. students and teaches a course on optimization.  From 1991-2002 she was on the faculty of the Carnegie Mellon University, with early promotions to both the Associate and the Full Professor level.
      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.
      Format: Hardback CONTRIBUTORS: Urmila M. Diwekar EAN: 9783030554033 COUNTRY: Switzerland PAGES: WEIGHT: 746 g HEIGHT: 235 cm
      PUBLISHED BY: Springer Nature Switzerland AG DATE PUBLISHED: 2020-10-30 CITY: GENRE: BUSINESS & ECONOMICS / Operations Research, MATHEMATICS / Applied, MATHEMATICS / Calculus, SCIENCE / System Theory, TECHNOLOGY & ENGINEERING / Engineering (General) WIDTH: 155 cm SPINE:

      Book Themes:

      Cybernetics and systems theory, Management decision making, Operational research, Optimization, Maths for engineers

      Customer Reviews

      Be the first to write a review
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      Urmila Diwekar is the president of the Vishwamitra Research, a non-profit research institute that she founded to pursue multidisciplinary research in the areas of Optimization under Uncertainty and Computer-aided Design applied to Energy, Environment, and Sustainability.  From 2002-2004, she was a Professor in the Departments of Chemical Engineering, Bio-Engineering, and Industrial Engineering, and in the Institute for Environmental Science and Policy, at the University of Illinois at Chicago (UIC).  She has a special formal arrangement with UIC where remains as the main advisor for her Ph.D. and M.S. students and teaches a course on optimization.  From 1991-2002 she was on the faculty of the Carnegie Mellon University, with early promotions to both the Associate and the Full Professor level.

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