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Autor(en): 
  • Daniel W. Stroock
  • An Introduction to Markov Processes 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  August 2016  
    Genre:  Schulbücher 
     
    B / Dynamical systems / Dynamical Systems and Ergodic Theory / Dynamics / Ergodic theory / Mathematics and Statistics / Nonlinear science / Probabilities / Probability Theory / Probability Theory and Stochastic Processes / Stochastics
    ISBN:  9783662517826 
    EAN-Code: 
    9783662517826 
    Verlag:  Springer Berlin Heidelberg 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #230 - Graduate Texts in Mathematics  
    Dimensionen:  H 235 mm / B 155 mm / D 13 mm 
    Gewicht:  347 gr 
    Seiten:  224 
    Zus. Info:  Paperback 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book provides a rigorous but elementary introduction to the theory of Markov Processes on a countable state space. It should be accessible to students with a solid undergraduate background in mathematics, including students from engineering, economics, physics, and biology. Topics covered are: Doeblin's theory, general ergodic properties, and continuous time processes. Applications are dispersed throughout the book. In addition, a whole chapter is devoted to reversible processes and the use of their associated Dirichlet forms to estimate the rate of convergence to equilibrium. These results are then applied to the analysis of the Metropolis (a.k.a simulated annealing) algorithm.

    The corrected and enlarged 2nd edition contains a new chapter in which the author develops computational methods for Markov chains on a finite state space. Most intriguing is the section with a new technique for computing stationary measures, which is applied to derivations of Wilson's algorithm and Kirchoff's formula for spanning trees in a connected graph.

      
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