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Randomized Algorithms: Approximation, Generation, and Counting (Distinguished Dissertations) - Softcover

 
9781447111801: Randomized Algorithms: Approximation, Generation, and Counting (Distinguished Dissertations)

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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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9781852333256: Randomized Algorithms: Approximation, Generation, and Counting (Distinguished Dissertations)

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ISBN 10:  1852333251 ISBN 13:  9781852333256
Verlag: Springer London Ltd, 2000
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Russ Bubley
Verlag: Springer London, 2011
ISBN 10: 144711180X ISBN 13: 9781447111801
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Taschenbuch. Zustand: 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. Artikel-Nr. 9781447111801

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Bubley, Russ
Verlag: Springer, 2011
ISBN 10: 144711180X ISBN 13: 9781447111801
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