Ben tal arkadi nemirovski aharon (16 Ergebnisse)

Sprache: Englisch
Verlag: Princeton University Press, 2009
Serie: Princeton Series in Applied Mathematics, Buch 7 von 33. Buch 7 von 33 - Princeton Series in Applied Mathematics
- Hardcover
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Sprache: Englisch
Verlag: Princeton University Press, 2009
Serie: Princeton Series in Applied Mathematics, Buch 7 von 33. Buch 7 von 33 - Princeton Series in Applied Mathematics
- Hardcover
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Sprache: Englisch
Verlag: Princeton University Press, 2009
Serie: Princeton Series in Applied Mathematics, Buch 7 von 33. Buch 7 von 33 - Princeton Series in Applied Mathematics
- Hardcover
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Sprache: Englisch
Verlag: Princeton University Press, 2009
Serie: Princeton Series in Applied Mathematics, Buch 7 von 33. Buch 7 von 33 - Princeton Series in Applied Mathematics
- Hardcover
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Sprache: Englisch
Verlag: Princeton University Press, 2009
Serie: Princeton Series in Applied Mathematics, Buch 7 von 33. Buch 7 von 33 - Princeton Series in Applied Mathematics
- Hardcover
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes KönigreichGreatBookPricesUK
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Sprache: Englisch
Verlag: Society for Industrial and Applied Mathematics, 2001
- Softcover
Anbieter: Better World Books, Mishawaka, IN, USABetter World Books
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Zustand: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Sprache: Englisch
Verlag: Princeton University Press, US, 2009
Serie: Princeton Series in Applied Mathematics, Buch 7 von 33. Buch 7 von 33 - Princeton Series in Applied Mathematics
- Hardcover
Anbieter: Rarewaves USA, OSWEGO, IL, USARarewaves USA
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Hardback. Zustand: 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 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.

Sprache: Englisch
Verlag: Princeton University Press, US, 2009
Serie: Princeton Series in Applied Mathematics, Buch 7 von 33. Buch 7 von 33 - Princeton Series in Applied Mathematics
- Hardcover
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes KönigreichRarewaves.com USA
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Hardback. Zustand: 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 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.

Sprache: Englisch
Verlag: Princeton University Press, US, 2009
Serie: Princeton Series in Applied Mathematics, Buch 7 von 33. Buch 7 von 33 - Princeton Series in Applied Mathematics
- Hardcover
Anbieter: Rarewaves USA United, OSWEGO, IL, USARarewaves USA United
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Hardback. Zustand: 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 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.

Sprache: Englisch
Verlag: Society for Industrial and Applied Mathematics,U.S., US, 1987
- Softcover
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes KönigreichRarewaves.com USA
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Paperback. Zustand: 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.

Sprache: Englisch
Verlag: Society for Industrial & Applied Mathematics, 1987
- Softcover
Anbieter: Majestic Books, Hounslow, Vereinigtes KönigreichMajestic Books
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Zustand: New. pp. xvi + 488 Illus.

Sprache: Englisch
Verlag: Princeton University Press, US, 2009
Serie: Princeton Series in Applied Mathematics, Buch 7 von 33. Buch 7 von 33 - Princeton Series in Applied Mathematics
- Hardcover
Anbieter: Rarewaves.com UK, London, Vereinigtes KönigreichRarewaves.com UK
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Hardback. Zustand: 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 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.

Sprache: Englisch
Verlag: Princeton Univ Pr, 2009
Serie: Princeton Series in Applied Mathematics, Buch 7 von 33. Buch 7 von 33 - Princeton Series in Applied Mathematics
- Hardcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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Hardcover. Zustand: Brand New. 576 pages. 9.90x7.30x1.50 inches. In Stock.

Sprache: Englisch
Verlag: Society for Industrial & Applied Mathematics, 1987
- Softcover
Anbieter: Books Puddle, New York, NY, USABooks Puddle
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Zustand: New. pp. xvi + 488.

Sprache: Englisch
Verlag: Society for Industrial and Applied Mathematics,U.S., US, 1987
- Softcover
Anbieter: Rarewaves.com UK, London, Vereinigtes KönigreichRarewaves.com UK
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Paperback. Zustand: 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.

Sprache: Englisch
Verlag: Princeton Univ Pr, 2009
Serie: Princeton Series in Applied Mathematics, Buch 7 von 33. Buch 7 von 33 - Princeton Series in Applied Mathematics
- Hardcover
- Print-on-Demand
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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Hardcover. Zustand: Brand New. 576 pages. 9.90x7.30x1.50 inches. In Stock. This item is printed on demand.