Da: Row By Row Bookshop, Sugar Grove, NC, U.S.A.
Prima edizione
Hardcover. Condizione: Good. Condizione sovraccoperta: No Dust Jacket. First Edition. An ex-library copy in original blue and silver hard covers. The usual ex-libris markings. The binding is sound, the text is clean/unmarked, and there is little cover wear. No dust jacket, apparently as issued. Book.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 115,42
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Randomized Algorithms: Approximation, Generation, and Counting | Russ Bubley | Taschenbuch | xx | Englisch | 2011 | Springer | EAN 9781447111801 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Randomized Algorithms discusses two problems of fine pedigree: counting and generation, both of which are of fundamental importance to discrete mathematics and probability. When asking questions like 'How many are there ' and 'What does it look like on average ' of families of combinatorial structures, answers are often difficult to find -- we can be blocked by seemingly intractable algorithms. Randomized Algorithms shows how to get around the problem of intractability with the Markov chain Monte Carlo method, as well as highlighting the method's natural limits. It uses the technique of coupling before introducing 'path coupling' a new technique which radically simplifies and improves upon previous methods in the area.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 166,78
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Aggiungi al carrelloPaperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
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Lingua: Inglese
Editore: Springer London, Springer London Sep 2011, 2011
ISBN 10: 144711180X ISBN 13: 9781447111801
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 106,99
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Randomized Algorithms discusses two problems of fine pedigree: counting and generation, both of which are of fundamental importance to discrete mathematics and probability. When asking questions like 'How many are there ' and 'What does it look like on average ' of families of combinatorial structures, answers are often difficult to find -- we can be blocked by seemingly intractable algorithms. Randomized Algorithms shows how to get around the problem of intractability with the Markov chain Monte Carlo method, as well as highlighting the method's natural limits. It uses the technique of coupling before introducing 'path coupling' a new technique which radically simplifies and improves upon previous methods in the area. 176 pp. Englisch.
Da: moluna, Greven, Germania
EUR 92,27
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Randomized Algorithms discusses two problems of fine pedigree: counting and generation, both of which are of fundamental importance to discrete mathematics and probability. When asking questions like How many are there? and What does it look like .
Lingua: Inglese
Editore: Springer London, Springer Sep 2011, 2011
ISBN 10: 144711180X ISBN 13: 9781447111801
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 106,99
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Randomized Algorithms discusses two problems of fine pedigree: counting and generation, both of which are of fundamental importance to discrete mathematics and probability. When asking questions like 'How many are there ' and 'What does it look like on average ' of families of combinatorial structures, answers are often difficult to find -- we can be blocked by seemingly intractable algorithms. Randomized Algorithms shows how to get around the problem of intractability with the Markov chain Monte Carlo method, as well as highlighting the method's natural limits. It uses the technique of coupling before introducing 'path coupling' a new technique which radically simplifies and improves upon previous methods in the area.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 176 pp. Englisch.