Randomized Algorithms: Approximation, Generation, and Counting

Russ Bubley

ISBN 10: 144711180X / ISBN 13: 9781447111801

Published by Springer London, 2011

About this Item

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.

Seller Inventory # 9781447111801

Bibliographic Details

• Title: Randomized Algorithms: Approximation, Generation, and Counting
• Publisher: Springer London
• Publication Date: 2011
• Language: English
• ISBN 10: 144711180X
• ISBN 13: 9781447111801
• Binding: Taschenbuch
• Condition: Neu

About this title

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.