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

Bubley, Russ

ISBN 10: 144711180X / ISBN 13: 9781447111801

Published by Springer, 2011

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Seller Inventory # ERICA773144711180X6

Bibliographic Details

• Title: Randomized Algorithms: Approximation, Generation, and Counting (Distinguished Dissertations)
• Publisher: Springer
• Publication Date: 2011
• Language: English
• ISBN 10: 144711180X
• ISBN 13: 9781447111801
• Binding: Paperback
• Condition: Like New
• Book Type: book

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Synopsis

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.