Synopsis
This introduction to aspects of semidefinite programming and its use in approximation algorithms develops the basic theory of semidefinite programming, presents one of the known efficient algorithms in detail, and describes the principles of some others.
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Approximation Algorithms and Semidefinite Programming
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Springer, 2012
ISBN 10 : 3642220142
ISBN 13 : 9783642220142
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Approximation Algorithms and Semidefinite Programming
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Springer Berlin Heidelberg Jan 2012, 2012
ISBN 10 : 3642220142
ISBN 13 : 9783642220142
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Semidefinite programs constitute one of the largest classes of optimization problems that can be solved with reasonable efficiency - both in theory and practice. They play a key role in a variety of research areas, such as combinatorial optimization, approximation algorithms, computational complexity, graph theory, geometry, real algebraic geometry and quantum computing. This book is an introduction to selected aspects of semidefinite programming and its use in approximation algorithms. It covers the basics but also a significant amount of recent and more advanced material. There are many computational problems, such as MAXCUT, for which one cannot reasonably expect to obtain an exact solution efficiently, and in such case, one has to settle for approximate solutions. For MAXCUT and its relatives, exciting recent results suggest that semidefinite programming is probably the ultimate tool. Indeed, assuming the Unique Games Conjecture, a plausible but as yet unproven hypothesis, it was shown that for these problems, known algorithms based on semidefinite programming deliver the best possible approximation ratios among all polynomial-time algorithms. This book follows the 'semidefinite side' of these developments, presenting some of the main ideas behind approximation algorithms based on semidefinite programming. It develops the basic theory of semidefinite programming, presents one of the known efficient algorithms in detail, and describes the principles of some others. It also includes applications, focusing on approximation algorithms. 264 pp. Englisch. N° de réf. du vendeur 9783642220142
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Approximation Algorithms and Semidefinite Programming
Edité par
Springer Berlin Heidelberg, 2012
ISBN 10 : 3642220142
ISBN 13 : 9783642220142
Neuf
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First textbook treatment of an often-taught topicCombines in-depth treatment of classical material with coverage of very recent developmentsEvery chapter comes with an extensive list of exercisesSemidefinite programs constitute o. N° de réf. du vendeur 5052742
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Approximation Algorithms and Semidefinite Programming
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Approximation Algorithms and Semidefinite Programming
Edité par
Springer Berlin Heidelberg, Springer Berlin Heidelberg Jan 2012, 2012
ISBN 10 : 3642220142
ISBN 13 : 9783642220142
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Buch. Etat : Neu. Neuware -Semidefinite programs constitute one of the largest classes of optimization problems that can be solved with reasonable efficiency - both in theory and practice. They play a key role in a variety of research areas, such as combinatorial optimization, approximation algorithms, computational complexity, graph theory, geometry, real algebraic geometry and quantum computing. This book is an introduction to selected aspects of semidefinite programming and its use in approximation algorithms. It covers the basics but also a significant amount of recent and more advanced material.There are many computational problems, such as MAXCUT, for which one cannot reasonably expect to obtain an exact solution efficiently, and in such case, one has to settle for approximate solutions. For MAXCUT and its relatives, exciting recent results suggest that semidefinite programming is probably the ultimate tool. Indeed, assuming the Unique Games Conjecture, a plausible but as yet unproven hypothesis, it was shown that for these problems, known algorithms based on semidefinite programming deliver the best possible approximation ratios among all polynomial-time algorithms.This book follows the ¿semidefinite side¿ of these developments, presenting some of the main ideas behind approximation algorithms based on semidefinite programming. It develops the basic theory of semidefinite programming, presents one of the known efficient algorithms in detail, and describes the principles of some others. It also includes applications, focusing on approximation algorithms.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 264 pp. Englisch. N° de réf. du vendeur 9783642220142
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Approximation Algorithms and Semidefinite Programming
Edité par
Springer-Verlag GmbH, 2012
ISBN 10 : 3642220142
ISBN 13 : 9783642220142
Neuf
Couverture rigide
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Buch. Etat : Neu. Approximation Algorithms and Semidefinite Programming | Jiri Matousek (u. a.) | Buch | xi | Englisch | 2012 | Springer-Verlag GmbH | EAN 9783642220142 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 106809702
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Approximation Algorithms and Semidefinite Programming
Edité par
Springer Berlin Heidelberg, 2012
ISBN 10 : 3642220142
ISBN 13 : 9783642220142
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Semidefinite programs constitute one of the largest classes of optimization problems that can be solved with reasonable efficiency - both in theory and practice. They play a key role in a variety of research areas, such as combinatorial optimization, approximation algorithms, computational complexity, graph theory, geometry, real algebraic geometry and quantum computing. This book is an introduction to selected aspects of semidefinite programming and its use in approximation algorithms. It covers the basics but also a significant amount of recent and more advanced material. There are many computational problems, such as MAXCUT, for which one cannot reasonably expect to obtain an exact solution efficiently, and in such case, one has to settle for approximate solutions. For MAXCUT and its relatives, exciting recent results suggest that semidefinite programming is probably the ultimate tool. Indeed, assuming the Unique Games Conjecture, a plausible but as yet unproven hypothesis, it was shown that for these problems, known algorithms based on semidefinite programming deliver the best possible approximation ratios among all polynomial-time algorithms. This book follows the 'semidefinite side' of these developments, presenting some of the main ideas behind approximation algorithms based on semidefinite programming. It develops the basic theory of semidefinite programming, presents one of the known efficient algorithms in detail, and describes the principles of some others. It also includes applications, focusing on approximation algorithms. N° de réf. du vendeur 9783642220142
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Approximation Algorithms and Semidefinite Programming
Edité par
Springer, 2012
ISBN 10 : 3642220142
ISBN 13 : 9783642220142
Ancien ou d'occasion
Couverture rigide
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
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