Aharon Ben Tal Arkadi Nemirovski (14 results)
Language: English
Published by Princeton University Press 2009
Series: Princeton Series in Applied Mathematics, Book 7 of 33. Book 7 of 33 - Princeton Series in Applied Mathematics
- Hardcover
Seller: Labyrinth Books, Princeton, NJ, U.S.A.Labyrinth Books
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Language: English
Published by Princeton University Press 2009
Series: Princeton Series in Applied Mathematics, Book 7 of 33. Book 7 of 33 - Princeton Series in Applied Mathematics
- Hardcover
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Language: English
Published by Princeton University Press 2009
Series: Princeton Series in Applied Mathematics, Book 7 of 33. Book 7 of 33 - Princeton Series in Applied Mathematics
- Hardcover
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Language: English
Published by Princeton University Press 2009
Series: Princeton Series in Applied Mathematics, Book 7 of 33. Book 7 of 33 - Princeton Series in Applied Mathematics
- Hardcover
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Language: English
Published by Princeton University Press 2009
Series: Princeton Series in Applied Mathematics, Book 7 of 33. Book 7 of 33 - Princeton Series in Applied Mathematics
- Hardcover
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Language: English
Published by Princeton University Press, US 2009
Series: Princeton Series in Applied Mathematics, Book 7 of 33. Book 7 of 33 - Princeton Series in Applied Mathematics
- Hardcover
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.Rarewaves USA
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Hardback. Condition: New. 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 robus…t 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.
Language: English
Published by Princeton University Press, US 2009
Series: Princeton Series in Applied Mathematics, Book 7 of 33. Book 7 of 33 - Princeton Series in Applied Mathematics
- Hardcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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Hardback. Condition: New. 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 robus…t 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.
Language: English
Published by Princeton University Press, US 2009
Series: Princeton Series in Applied Mathematics, Book 7 of 33. Book 7 of 33 - Princeton Series in Applied Mathematics
- Hardcover
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.Rarewaves USA United
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Hardback. Condition: New. 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 robus…t 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.
Language: English
Published by Society for Industrial and Applied Mathematics,U.S., US 1987
- Softcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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£ 152.37
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Paperback. Condition: New. Here is a book devoted to well-structured and thus efficiently solvable convex optimization problems, with emphasis on conic quadratic and semidefinite programming. The authors present the basic theory underlying these problems as well as their numerous applications in engineering, including synthesis…of filters, Lyapunov stability analysis, and structural design. The authors also discuss the complexity issues and provide an overview of the basic theory of state-of-the-art polynomial time interior point methods for linear, conic quadratic, and semidefinite programming. The book's focus on well-structured convex problems in conic form allows for unified theoretical and algorithmical treatment of a wide spectrum of important optimization problems arising in applications.
Language: English
Published by Princeton Univ Pr 2009
Series: Princeton Series in Applied Mathematics, Book 7 of 33. Book 7 of 33 - Princeton Series in Applied Mathematics
- Hardcover
Seller: Revaluation Books, Exeter, , United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 576 pages. 9.90x7.30x1.50 inches. In Stock.
Language: English
Published by Princeton University Press, US 2009
Series: Princeton Series in Applied Mathematics, Book 7 of 33. Book 7 of 33 - Princeton Series in Applied Mathematics
- Hardcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
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Hardback. Condition: New. 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 robus…t 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.
Language: English
Published by Society for Industrial & Applied Mathematics 1987
- Softcover
Seller: Majestic Books, Hounslow, , United KingdomMajestic Books
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£ 195.41
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Condition: New. pp. xvi + 488 Illus.
Language: English
Published by Society for Industrial and Applied Mathematics,U.S., US 1987
- Softcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
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£ 139.86
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Paperback. Condition: New. Here is a book devoted to well-structured and thus efficiently solvable convex optimization problems, with emphasis on conic quadratic and semidefinite programming. The authors present the basic theory underlying these problems as well as their numerous applications in engineering, including synthesis…of filters, Lyapunov stability analysis, and structural design. The authors also discuss the complexity issues and provide an overview of the basic theory of state-of-the-art polynomial time interior point methods for linear, conic quadratic, and semidefinite programming. The book's focus on well-structured convex problems in conic form allows for unified theoretical and algorithmical treatment of a wide spectrum of important optimization problems arising in applications.
Language: English
Published by Princeton Univ Pr 2009
Series: Princeton Series in Applied Mathematics, Book 7 of 33. Book 7 of 33 - Princeton Series in Applied Mathematics
- Hardcover
- Print on Demand
Seller: Revaluation Books, Exeter, , United KingdomRevaluation Books
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£ 105.88
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Hardcover. Condition: Brand New. 576 pages. 9.90x7.30x1.50 inches. In Stock. This item is printed on demand.
