Robust Optimization (Princeton Series in Applied Mathematics)

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9780691143682: Robust Optimization (Princeton Series in Applied Mathematics)

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

About the Author:

Aharon Ben-Tal is professor of operations research at the Technion, Israel Institute for Technology. Laurent El Ghaoui is associate professor of electrical engineering and operations research at the University of California, Berkeley. Arkadi Nemirovski is professor of industrial and systems engineering at Georgia Institute of Technology.

Review:

"Robust optimization is an active area of research that is likely to find many practical applications in the future. This book is an authoritative reference that will be very useful to researchers working in this area. Furthermore, the book has been structured so that the first part could easily be used as the text for a graduate level course in robust optimization."--Brian Borchers, MAA Reviews

"[T]his reference book gives an excellent and stimulating account of the classical and advanced results in the field, and should be consulted by all researchers and practitioners."--Joseph Frédéric Bonnans, Zentralblatt MATH

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1.

Ben-Tal, Aharon; Ghaoui, Laurent El; Nemirovski, Arkadi
Editore: Princeton University Press (2009)
ISBN 10: 0691143684 ISBN 13: 9780691143682
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Descrizione libro Princeton University Press, 2009. Condizione libro: New. 2009. Hardcover. Features simple treatment of uncertain linear programming. This book also presents an analysis of the interconnections between the construction of appropriate uncertainty sets and the classical chance constraints (probabilistic) approach. Series: Princeton Series in Applied Mathematics. Num Pages: 576 pages, 36 line illus. 41 tables. BIC Classification: PBUH. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 261 x 187 x 36. Weight in Grams: 1312. . . . . . . Codice libro della libreria V9780691143682

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Aharon Ben-Tal, Laurent El Ghaoui, Arkadi Nemirovski
Editore: Princeton University Press
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Descrizione libro Princeton University Press. Hardback. Condizione libro: new. BRAND NEW, Robust Optimization, 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. Codice libro della libreria B9780691143682

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Aharon Ben-tal, Laurent El Ghaoui, Arkadi Nemirovski, Laurent El Ghaoui, Arkadi Nemirovski
Editore: Princeton University Press 2009-09-18, Princeton, N.J. |Woodstock (2009)
ISBN 10: 0691143684 ISBN 13: 9780691143682
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Descrizione libro Princeton University Press 2009-09-18, Princeton, N.J. |Woodstock, 2009. hardback. Condizione libro: New. Codice libro della libreria 9780691143682

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Descrizione libro Princeton University Press, 2009. HRD. Condizione libro: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Codice libro della libreria WP-9780691143682

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Ben-Tal, Aharon; Ghaoui, Laurent El; Nemirovski, Arkadi
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Descrizione libro Princeton University Press. Condizione libro: New. 2009. Hardcover. Features simple treatment of uncertain linear programming. This book also presents an analysis of the interconnections between the construction of appropriate uncertainty sets and the classical chance constraints (probabilistic) approach. Series: Princeton Series in Applied Mathematics. Num Pages: 576 pages, 36 line illus. 41 tables. BIC Classification: PBUH. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 261 x 187 x 36. Weight in Grams: 1312. . . . . . Books ship from the US and Ireland. Codice libro della libreria V9780691143682

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Aharon Ben-Tal, Laurent El Ghaoui, Arkadi Nemirovski
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ISBN 10: 0691143684 ISBN 13: 9780691143682
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Descrizione libro Princeton University Press, United States, 2009. Hardback. Condizione libro: New. Language: English . Brand New Book. 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. Codice libro della libreria AAU9780691143682

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Aharon Ben-Tal, Laurent El Ghaoui, Arkadi Nemirovski
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ISBN 10: 0691143684 ISBN 13: 9780691143682
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Descrizione libro Princeton University Press, United States, 2009. Hardback. Condizione libro: New. Language: English . Brand New Book. 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. Codice libro della libreria AAU9780691143682

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Descrizione libro Condizione libro: New. Bookseller Inventory # ST0691143684. Codice libro della libreria ST0691143684

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Ben-Tal, Aharon;El Ghaoui, Laurent;Nemirovski, Arkadi
Editore: Ewing, New Jersey, U.S.A.: Princeton Univ Pr (2009)
ISBN 10: 0691143684 ISBN 13: 9780691143682
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Descrizione libro Ewing, New Jersey, U.S.A.: Princeton Univ Pr, 2009. Hardcover. Condizione libro: New. Ship out 1-2 business day,Brand new,US edition, Free tracking number usually 2-4 biz days delivery to worldwide Same shipping fee with US, Canada,Europe country, Australia, item will ship out from either LA or Asia,k. Codice libro della libreria ABE-7564719163

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Aharon Ben-Tal; Laurent El Ghaoui; Arkadi Nemirovski
Editore: Princeton University Press (2015)
ISBN 10: 0691143684 ISBN 13: 9780691143682
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Descrizione libro Princeton University Press, 2015. Condizione libro: New. Codice libro della libreria EH9780691143682

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