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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.
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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.
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Randomized Algorithms: Approximation, Generation, and Counting
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Condición: 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 . Nº de ref. del artículo: 4184059
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Randomized Algorithms: Approximation, Generation, and Counting (Distinguished Dissertations)
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Randomized Algorithms: Approximation, Generation, and Counting (Distinguished Dissertations)
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Randomized Algorithms: Approximation, Generation, and Counting
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Springer London Sep 2011, 2011
ISBN 10: 144711180X
ISBN 13: 9781447111801
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9781447111801
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Randomized Algorithms: Approximation, Generation, and Counting
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9781447111801
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Randomized Algorithms
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Condición: New. pp. 176. Nº de ref. del artículo: 2648018821
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Randomized Algorithms: Approximation, Generation, and Counting
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Springer London, Springer London Sep 2011, 2011
ISBN 10: 144711180X
ISBN 13: 9781447111801
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9781447111801
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Randomized Algorithms: Approximation, Generation, and Counting
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Springer London Ltd, 2011
ISBN 10: 144711180X
ISBN 13: 9781447111801
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Condición: New. Print on Demand pp. 176 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam. Nº de ref. del artículo: 44763738
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Condición: New. PRINT ON DEMAND pp. 176. Nº de ref. del artículo: 1848018831
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