This book is an introduction to the modern approach to the theory of Markov chains. The main goal of this approach is to determine the rate of convergence of a Markov chain to the stationary distribution as a function of the size and geometry of the state space. The authors develop the key tools for estimating convergence times, including coupling, strong stationary times, and spectral methods. Whenever possible, probabilistic methods are emphasized. The book includes many examples and provides brief introductions to some central models of statistical mechanics. Also provided are accounts of random walks on networks, including hitting and cover times, and analyses of several methods of shuffling cards. As a prerequisite, the authors assume a modest understanding of probability theory and linear algebra at an undergraduate level. Markov Chains and Mixing Times is meant to bring the excitement of this active area of research to a wide audience.
Author: David Asher Levin,Yuval Peres,Elizabeth Lee Wilmer
Publisher: American Mathematical Soc.
This book is an introduction to the modern theory of Markov chains, whose goal is to determine the rate of convergence to the stationary distribution, as a function of state space size and geometry. This topic has important connections to combinatorics, statistical physics, and theoretical computer science. Many of the techniques presented originate in these disciplines. The central tools for estimating convergence times, including coupling, strong stationary times, and spectral methods, are developed. The authors discuss many examples, including card shuffling and the Ising model, from statistical mechanics, and present the connection of random walks to electrical networks and apply it to estimate hitting and cover times. The first edition has been used in courses in mathematics and computer science departments of numerous universities. The second edition features three new chapters (on monotone chains, the exclusion process, and stationary times) and also includes smaller additions and corrections throughout. Updated notes at the end of each chapter inform the reader of recent research developments.
Author: David A. Levin,Yuval Peres
Publisher: American Mathematical Soc.
Category: Distribution (Probability theory)
Author: Alʹbert Nikolaevich Shiri︠a︡ev,Hans Jürgen Engelbert
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.
Author: Ravi R. Montenegro,Prasad Tetali
Publisher: Now Publishers Inc
Aus den Besprechungen: "Unter den zahlreichen Einführungen in die Wahrscheinlichkeitsrechnung bildet dieses Buch eine erfreuliche Ausnahme. Der Stil einer lebendigen Vorlesung ist über Niederschrift und Übersetzung hinweg erhalten geblieben. In jedes Kapitel wird sehr anschaulich eingeführt. Sinn und Nützlichkeit der mathematischen Formulierungen werden den Lesern nahegebracht. Die wichtigsten Zusammenhänge sind als mathematische Sätze klar formuliert." #FREQUENZ#1
Author: Kai L. Chung
This volume contains the proceedings of the Latin American Theoretical Inf- matics (LATIN) conference that was held in Buenos Aires, Argentina, April 5–8, 2004. The LATIN series of symposia was launched in 1992 to foster interactions between the Latin American community and computer scientists around the world. This was the sixth event in the series, following S ̃ ao Paulo, Brazil (1992), Valparaiso, Chile (1995), Campinas, Brazil (1998), Punta del Este, Uruguay (2000), and Cancun, Mexico (2002). The proceedings of these conferences were also published by Springer-Verlag in the Lecture Notes in Computer Science series: Volumes 583, 911, 1380, 1776, and 2286, respectively. Also, as before, we published a selection of the papers in a special issue of a prestigious journal. We received 178 submissions. Each paper was assigned to four program c- mittee members, and 59 papers were selected. This was 80% more than the previous record for the number of submissions. We feel lucky to have been able to build on the solid foundation provided by the increasingly successful previous LATINs. And we are very grateful for the tireless work of Pablo Mart ́ ?nez L ́ opez, the Local Arrangements Chair. Finally, we thank Springer-Verlag for publishing these proceedings in its LNCS series.
6th Latin American Symposium, Buenos Aires, Argentina, April 5-8, 2004, Proceedings
Author: Martin Farach-Colton
Publisher: Springer Science & Business Media
With an Introduction to Regularity Structures
Author: Peter K. Friz,Martin Hairer
This thesis studies the problem of the random transposition walk on permutations with interval restrictions. The mixing time of this Markov chain is explored, and a number of different cases are considered. For the case of bounded interval restrictions, a polynomial bound for the mixing time is achieved. For a specific example of bounded interval restrictions called Fibonacci permutations, the correct order of the mixing time is derived. An example of a family of interval restriction matrices for which the random walk mixes in exponential time is provided, showing that the walk in general does not mix in polynomial time. The case of one-sided interval restrictions is also studied, and cut-off is shown for a large class of one-sided interval restriction matrices. Furthermore, examples are provided in which chi-squared cut-off occurs, while total variation mixing occurs significantly earlier without cut-off. Finally, a coupling argument showing the correct order mixing time for the random transposition walk on the whole symmetric group is presented. This is achieved via projection to conjugacy classes and then a path coupling argument.
Publisher: Stanford University
This book constitutes the thoroughly refereed papers of the 16th International Conference on Implementation and Application of Automata, CIAA 2011, held in Blois, France, in July 2011. The 20 revised full papers together with 4 short papers were carefully selected from 38 submissions. The papers cover various topics such as applications of automata in computer-aided verification; natural language processing; pattern matching, data storage and retrieval; document engineering and bioinformatics as well as foundational work on automata theory.
16th International Conference, CIAA 2011, Blois, France, July 13-16, 2011, Revised Selected Papers
Author: Béatrice Bouchou-Markhoff,Pascal Caron,Jean-Marc Champarnaud,Denis Maurel
zwölf Stationen des statistischen Arbeitens
Author: Günter Menges
Gegenstand dieses Lehrbuchs ist die Behandlung schwer lösbarer diskreter Optimierungsprobleme. Im ersten Teil werden schnelle Algorithmen vorgestellt, die solche Probleme näherungsweise lösen können. Der zweite Teil behandelt Komplexitätstheorie und Nichtapproximierbarkeit von Optimierungsproblemen. Das Lehrbuch enthält zudem zahlreiche Anwendungsbeispiele, Übungsaufgaben, Illustrationen und Abschnitte über Grundlagen wie etwa die Turingmaschine.
Author: Klaus Jansen,Marian Margraf
Publisher: Walter de Gruyter
This book constitutes the refereed proceedings of the 15th International Symposium Fundamentals of Computation Theory, FCT 2005, held in Lübeck, Germany in August 2005. The 46 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 105 submissions. The papers are organized in topical sections on circuits, automata, complexity, approximability, computational and structural complexity, graphs and complexity, computational game theory, visual cryptography and computational geometry, query complexity, distributed systems, automata and formal languages, semantics, approximation algorithms, average case complexity, algorithms, graph algorithms, and pattern matching.
15th International Symposium, FCT 2005, Lübeck, Gemany, August 17-20, 2005, Proceedings
Author: Maciej Liskiewicz
Publisher: Springer Science & Business Media
Besides the investigation of general chains the book contains chapters which are concerned with eigenvalue techniques, conductance, stopping times, the strong Markov property, couplings, strong uniform times, Markov chains on arbitrary finite groups (including a crash-course in harmonic analysis), random generation and counting, Markov random fields, Gibbs fields, the Metropolis sampler, and simulated annealing. With 170 exercises.
With Special Emphasis on Rapid Mixing
Author: Ehrhard Behrends
Publisher: Vieweg+Teubner Verlag
Proceedings : 12-14 November, 2000, Redondo Beach, California
This book constitutes the refereed proceedings of the Third Latin American Symposium on Theoretical Informatics, LATIN'98, held in Campinas, Brazil, in April 1998. The 28 revised full papers presented together with five invited surveys were carefully selected from a total of 53 submissions based on 160 referees' reports. The papers are organized in sections on algorithms and complexity; automata, transition systems and combinatorics on words; computational geometry and graph drawing; cryptography; graph theory and algorithms on graphs; packet routing; parallel algorithms; and pattern matching and browsing.
Third Latin American Symposium, Campinas, Brazil, April 20-24, 1998, Proceedings
Author: Claudio L. Lucchesi,Arnaldo V. Moura
Category: Computer science
Category: Computer engineering
Polymers occur in many different states and their physical properties are strongly correlated with their conformations. The theoretical investigation of the conformational properties of polymers is a difficult task and numerical methods play an important role in this field. This book contains contributions from a workshop on numerical methods for polymeric systems, held at the IMA in May 1996, which brought together chemists, physicists, mathematicians, computer scientists and statisticians with a common interest in numerical methods. The two major approaches used in the field are molecular dynamics and Monte Carlo methods, and the book includes reviews of both approaches as well as applications to particular polymeric systems. The molecular dynamics approach solves the Newtonian equations of motion of the polymer, giving direct information about the polymer dynamics as well as about static properties. The Monte Carlo approaches discussed in this book all involve sampling along a Markov chain defined on the configuration space of the system. An important feature of the book is the treatment of Monte Carlo methods, including umbrella sampling and multiple Markov chain methods, which are useful for strongly interacting systems such as polymers at low temperatures and in compact phases. The book is of interest to workers in polymer statistical mechanics and also to a wider audience interested in numerical methods and their application in polymeric systems.
Author: Stuart G. Whittington,Institute of Mathematics and Its Applications
Publisher: Springer Verlag
Category: Sequential machine theory
Author: Mark Lawrence Huber