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Robust Optimization (Princeton Series in Applied Mathematics) Summary:By Aharon Ben-Tal, Laurent El Ghaoui, Arkadi Nemirovski
Robust optimization is still a relatively new approach to optimization problems affected by uncertainty, but it has already proved so useful in real applications that it is difficult to tackle such problems today without considering this powerful methodology. Written by the principal developers of robust optimization, and describing the main achievements of a decade of research, this is the first book to provide a comprehensive and up-to-date account of the subject. Robust optimization is designed to meet some major challenges associated with uncertainty-affected optimization problems: to operate under lack of full information on the nature of uncertainty; to model the problem in a form that can be solved efficiently; and to provide guarantees about the performance of the solution. The book starts with a relatively simple treatment of uncertain linear programming, proceeding with a deep analysis of the interconnections between the construction of appropriate uncertainty sets and the classical chance constraints (probabilistic) approach. It then develops the robust optimization theory for uncertain conic quadratic and semidefinite optimization problems and dynamic (multistage) problems. The theory is supported by numerous examples and computational illustrations. An essential book for anyone working on optimization and decision making under uncertainty, Robust Optimization also makes an ideal graduate textbook on the subject. Please select one mirror to download
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OLDER EBOOKSSponsored LinksRobust Optimization (Princeton Series in Applied Mathematics) Keywordsrobust problems uncertainty theory approach uncertain optimization construction develops probabilistic classical sets constraints analysis starts performance treatment linear proceeding programming robust optimization problems affected problems today powerful methodology principal developers optimization problems arkadi nemirovski applied mathematics aharon ben tal ben tal laurentRobust Optimization (Princeton Series in Applied Mathematics) download copyrightThis site does not store Robust Optimization (Princeton Series in Applied Mathematics) on its server. We only index and link to Robust Optimization (Princeton Series in Applied Mathematics) provided by other sites. Please contact the content providers to delete Robust Optimization (Princeton Series in Applied Mathematics) if any and email us, we'll remove relevant links or contents immediately. |
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