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Autor(en): 
  • Reuven Y Rubinstein
  • Fast Sequential Monte Carlo Methods for Counting and Optimization 
     

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


    Übersicht

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    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  November 2013  
    Genre:  Schulbücher 
    ISBN:  9781118612262 
    EAN-Code: 
    9781118612262 
    Verlag:  John Wiley & Sons 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Wiley Series in Probability and Statistics  
    Dimensionen:  H 240 mm / B 161 mm / D 16 mm 
    Gewicht:  484 gr 
    Seiten:  208 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    A comprehensive account of the theory and application of Monte Carlo methods Based on years of research in efficient Monte Carlo methods for estimation of rare-event probabilities, counting problems, and combinatorial optimization, Fast Sequential Monte Carlo Methods for Counting and Optimization is a complete illustration of fast sequential Monte Carlo techniques. The book provides an accessible overview of current work in the field of Monte Carlo methods, specifically sequential Monte Carlo techniques, for solving abstract counting and optimization problems. Written by authorities in the field, the book places emphasis on cross-entropy, minimum cross-entropy, splitting, and stochastic enumeration. Focusing on the concepts and application of Monte Carlo techniques, Fast Sequential Monte Carlo Methods for Counting and Optimization includes: * Detailed algorithms needed to practice solving real-world problems * Numerous examples with Monte Carlo method produced solutions within the 1-2% limit of relative error * A new generic sequential importance sampling algorithm alongside extensive numerical results * An appendix focused on review material to provide additional background information Fast Sequential Monte Carlo Methods for Counting and Optimization is an excellent resource for engineers, computer scientists, mathematicians, statisticians, and readers interested in efficient simulation techniques. The book is also useful for upper-undergraduate and graduate-level courses on Monte Carlo methods.

      



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