Introduction to Applied Optimization - Urmila Diwekar
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This text presents a multi-disciplined view of optimization, providing students and researchers with a thorough examination of algorithms, methods, and tools from diverse areas of optimization without introducing excessive theoretical detail. This second edition includes additional topics, including global optimization and a real-world case study using important concepts from each chapter.Key Features: ... Pilns apraksts
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Aprašymas
This text presents a multi-disciplined view of optimization, providing students and researchers with a thorough examination of algorithms, methods, and tools from diverse areas of optimization without introducing excessive theoretical detail. This second edition includes additional topics, including global optimization and a real-world case study using important concepts from each chapter.
Key Features:
- 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.
Introduction to Applied Optimization is intended for advanced undergraduate and graduate students and will benefit scientists from diverse areas, including engineers.
Vairāk informācijas
| Autors | Urmila Diwekar |
|---|---|
| Izdevējs | Springer Us |
| Izlaides gads | 2008 |
| Vāka tips | Cietais vāks |
| EAN | 9780387766348 |