Gebundene Ausgabe. Etat : Sehr gut. 216 Seiten; Zustand gepr�ft, Versand werktags innerhalb von 24 Stunden. Sehr gut erhalten ZA 9638201 Sprache: Englisch Gewicht in Gramm: 494. N� de r�f. du vendeur 10821

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Hamiltonian Cycle Problem and Markov Chains (International Series in Operations Research & Management Science, 171)

Borkar, Vivek S.; Ejov, Vladimir; Filar, Jerzy A.; Nguyen, Giang T.

Edit� par Springer, 2012

ISBN 10 : 1461432316 ISBN 13 : 9781461432319

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Hamiltonian Cycle Problem and Markov Chains

Vivek S. Borkar

Edit� par Springer New York Apr 2012, 2012

ISBN 10 : 1461432316 ISBN 13 : 9781461432319

Neuf Couverture rigide

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This research monograph summarizes a line of research that maps certain classical problems of discrete mathematics and operations research - such as the Hamiltonian Cycle and the Travelling Salesman Problems - into convex domains where continuum analysis can be carried out. Arguably, the inherent difficulty of these, now classical, problems stems precisely from the discrete nature of domains in which these problems are posed. The convexification of domains underpinning these results is achieved by assigning probabilistic interpretation to key elements of the original deterministic problems. In particular, the approaches summarized here build on a technique that embeds Hamiltonian Cycle and Travelling Salesman Problems in a structured singularly perturbed Markov decision process. The unifying idea is to interpret subgraphs traced out by deterministic policies (including Hamiltonian cycles, if any) as extreme points of a convex polyhedron in a space filled with randomized policies.The above innovative approach has now evolved to the point where there are many, both theoretical and algorithmic, results that exploit the nexus between graph theoretic structures and both probabilistic and algebraic entities of related Markov chains. The latter include moments of first return times, limiting frequencies of visits to nodes, or the spectra of certain matrices traditionally associated with the analysis of Markov chains. However, these results and algorithms are dispersed over many research papers appearing in journals catering to disparate audiences. As a result, the published manuscripts are often written in a very terse manner and use disparate notation, thereby making it difficult for new researchers to make use of the many reported advances.Hence the main purpose of this book is to present a concise and yet easily accessible synthesis of the majority of the theoretical and algorithmic results obtained so far. In addition, the book discusses numerous open questions and problems that arise from this body of work and which are yet to be fully solved. The approach casts the Hamiltonian Cycle Problem in a mathematical framework that permits analytical concepts and techniques, not used hitherto in this context, to be brought to bear to further clarify both the underlying difficulty of NP-completeness of this problem and the relative exceptionality of truly difficult instances. Finally, the material is arranged in such a manner that the introductory chapters require very little mathematical background and discuss instances of graphs with interesting structures that motivated a lot of the research in this topic. More difficult results are introduced later and are illustrated with numerous examples. 216 pp. Englisch. N� de r�f. du vendeur 9781461432319

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Hamiltonian Cycle Problem and Markov Chains (International Series in Operations Research & Management Science, 171)

Borkar, Vivek S.; Ejov, Vladimir; Filar, Jerzy A.; Nguyen, Giang T.

Edit� par Springer, 2012

ISBN 10 : 1461432316 ISBN 13 : 9781461432319

Neuf Couverture rigide

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Hamiltonian Cycle Problem and Markov Chains

Vivek S. Borkar|Vladimir Ejov|Jerzy A. Filar|Giang T. Nguyen

Edit� par Springer New York, 2012

ISBN 10 : 1461432316 ISBN 13 : 9781461432319

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Concise, readable synthesis of important yet scattered research to dateDiscusses problems yet to be fully solvedProvides many examples not supplied in original studiesThis research monograph summarizes a line of research that map. N� de r�f. du vendeur 4198060

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Hamiltonian Cycle Problem and Markov Chains

Vivek S. Borkar

Edit� par Springer New York, Springer US, 2012

ISBN 10 : 1461432316 ISBN 13 : 9781461432319

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This research monograph summarizes a line of research that maps certain classical problems of discrete mathematics and operations research - such as the Hamiltonian Cycle and the Travelling Salesman Problems - into convex domains where continuum analysis can be carried out. Arguably, the inherent difficulty of these, now classical, problems stems precisely from the discrete nature of domains in which these problems are posed. The convexification of domains underpinning these results is achieved by assigning probabilistic interpretation to key elements of the original deterministic problems. In particular, the approaches summarized here build on a technique that embeds Hamiltonian Cycle and Travelling Salesman Problems in a structured singularly perturbed Markov decision process. The unifying idea is to interpret subgraphs traced out by deterministic policies (including Hamiltonian cycles, if any) as extreme points of a convex polyhedron in a space filled with randomized policies.The above innovative approach has now evolved to the point where there are many, both theoretical and algorithmic, results that exploit the nexus between graph theoretic structures and both probabilistic and algebraic entities of related Markov chains. The latter include moments of first return times, limiting frequencies of visits to nodes, or the spectra of certain matrices traditionally associated with the analysis of Markov chains. However, these results and algorithms are dispersed over many research papers appearing in journals catering to disparate audiences. As a result, the published manuscripts are often written in a very terse manner and use disparate notation, thereby making it difficult for new researchers to make use of the many reported advances.Hence the main purpose of this book is to present a concise and yet easily accessible synthesis of the majority of the theoretical and algorithmicresults obtained so far. In addition, the book discusses numerous open questions and problems that arise from this body of work and which are yet to be fully solved. The approach casts the Hamiltonian Cycle Problem in a mathematical framework that permits analytical concepts and techniques, not used hitherto in this context, to be brought to bear to further clarify both the underlying difficulty of NP-completeness of this problem and the relative exceptionality of truly difficult instances. Finally, the material is arranged in such a manner that the introductory chapters require very little mathematical background and discuss instances of graphs with interesting structures that motivated a lot of the research in this topic. More difficult results are introduced later and are illustrated with numerous examples. N� de r�f. du vendeur 9781461432319

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