Introduction to Applied Optimization [electronic resource] / by Urmila Diwekar.

By: Diwekar, Urmila [author.]
Contributor(s): SpringerLink (Online service)
Material type: TextTextSeries: Springer Optimization and Its Applications: 22Publisher: Boston, MA : Springer US, 2008Description: XXV, 291 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9780387766355Subject(s): Mathematics | Business | Management science | Chemical engineering | System theory | Mathematical optimization | Calculus of variations | Applied mathematics | Engineering mathematics | Mathematics | Optimization | Calculus of Variations and Optimal Control; Optimization | Industrial Chemistry/Chemical Engineering | Appl.Mathematics/Computational Methods of Engineering | Systems Theory, Control | Business and Management, generalAdditional physical formats: Printed edition:: No titleDDC classification: 519.6 LOC classification: QA402.5-402.6Online resources: Click here to access online
Contents:
Linear Programming -- Nonlinear Programming -- Discrete Optimization -- Optimization Under Uncertainty -- Multiobjective Optimization -- Optimal Control and Dynamic Optimization.
In: Springer eBooksSummary: 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.
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Linear Programming -- Nonlinear Programming -- Discrete Optimization -- Optimization Under Uncertainty -- Multiobjective Optimization -- Optimal Control and Dynamic Optimization.

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.

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