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＜電子ブック＞
Introduction to Applied Optimization / by Urmila Diwekar
(Springer Optimization and Its Applications. ISSN:19316836 ; 22)

版	2nd ed. 2008.
出版者	(New York, NY : Springer US : Imprint: Springer)
出版年	2008
本文言語	英語
大きさ	XXV, 291 p : online resource
著者標目	*Diwekar, Urmila author SpringerLink (Online service)
件　名	LCSH:Mathematical optimization LCSH:Calculus of variations LCSH:Chemistry, Technical LCSH:Engineering mathematics LCSH:Engineering -- Data processing  全ての件名で検索 LCSH:System theory LCSH:Control theory LCSH:Business LCSH:Management science FREE:Optimization FREE:Calculus of Variations and Optimization FREE:Industrial Chemistry FREE:Mathematical and Computational Engineering Applications FREE:Systems Theory, Control FREE:Business and Management
一般注記	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 HTTP:URL=https://doi.org/10.1007/978-0-387-76635-5

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