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Introduction to Applied OptimizationDecember 2010
- Author:
- Urmila Diwekar
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Abstract
Provides well-written self-contained chapters, including problem sets and exercises, making it ideal for the classroom setting; Introducesapplied 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 7are linked to http://www.springer.com/math/book/978-0-387-76634-8; Solutions manual available upon adoptions.
Cited By
- Aktaş E, Özaydın Ö, Bozkaya B, Ülengin F and Önsel Ş (2013). Optimizing Fire Station Locations for the Istanbul Metropolitan Municipality, Interfaces, 43:3, (240-255), Online publication date: 1-May-2013.
- Becker H, Naaman M and Gravano L Learning similarity metrics for event identification in social media Proceedings of the third ACM international conference on Web search and data mining, (291-300)
- Van Den Hof P, Jansen J, Van Essen G and Bosgra O Model-based control and optimization of large scale physical systems Proceedings of the 21st annual international conference on Chinese Control and Decision Conference, (42-51)
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