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Mathematical Aspects Of Mixing Times In Markov Chains
Mathematical Aspects of Mixing Times in Markov Chains begins with a gentle introduction to the analytical aspects of the theory of finite Markov chain mixing times and quickly ramps up to explain the latest developments in the topic. Several theorems are revisited and often derived in simpler, transparent ways, and illustrated with examples. The highlights include spectral, logarithmic Sobolev techniques, the evolving set methodology, and issues of nonreversibility. Mathematical Aspects of Mixing Times in Markov Chains is a comprehensive, well-written review of the subject that will be of interest to researchers and students in computer and mathematical sciences.
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Mathematical Aspects Of Mixing Times In Markov Chains
Mathematical Aspects of Mixing Times in Markov Chains begins with a gentle introduction to the analytical aspects of the theory of finite Markov chain mixing times and quickly ramps up to explain the latest developments in the topic. Several theorems are revisited and often derived in simpler, transparent ways, and illustrated with examples. The highlights include spectral, logarithmic Sobolev techniques, the evolving set methodology, and issues of nonreversibility. Mathematical Aspects of Mixing Times in Markov Chains is a comprehensive, well-written review of the subject that will be of interest to researchers and students in computer and mathematical sciences.
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Mathematical Aspects Of Mixing Times In Markov Chains

Mathematical Aspects Of Mixing Times In Markov Chains

Mathematical Aspects Of Mixing Times In Markov Chains

Mathematical Aspects Of Mixing Times In Markov Chains

Overview

Mathematical Aspects of Mixing Times in Markov Chains begins with a gentle introduction to the analytical aspects of the theory of finite Markov chain mixing times and quickly ramps up to explain the latest developments in the topic. Several theorems are revisited and often derived in simpler, transparent ways, and illustrated with examples. The highlights include spectral, logarithmic Sobolev techniques, the evolving set methodology, and issues of nonreversibility. Mathematical Aspects of Mixing Times in Markov Chains is a comprehensive, well-written review of the subject that will be of interest to researchers and students in computer and mathematical sciences.

Product Details

ISBN-13: 9781933019291
Publisher: Now Publishers
Publication date: 05/25/2006
Series: Foundations and Trends in Theoretical Computer Science Series , #3
Pages: 132
Product dimensions: 6.14(w) x 9.21(h) x 0.28(d)

Table of Contents

1 Introduction 2 Basic Bounds on Mixing Times 3 Advanced Functional Techniques 4 Evolving Set Methods 5 Lower Bounds on Mixing Times and Their Consequences 6 Examples 7 Miscellaneous 8 Open Problems
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