Fast sequential Monte Carlo methods for counting and optimization

Rubinstein, Reuven Y, Ridder, Ad and Vaisman, Radislav Fast sequential Monte Carlo methods for counting and optimization. Hoboken, NJ, United States: John Wiley & Sons, 2014. doi:10.1002/9781118612323


Author Rubinstein, Reuven Y
Ridder, Ad
Vaisman, Radislav
Title Fast sequential Monte Carlo methods for counting and optimization
Place of Publication Hoboken, NJ, United States
Publisher John Wiley & Sons
Publication year 2014
Sub-type Research book (original research)
DOI 10.1002/9781118612323
Open Access Status
Series Wiley Series in Probability and Statistics
ISBN 9781118612316
9781118612354
9781118612262
Language eng
Start page 1
End page 182
Total number of pages 182
Year available 2013
Formatted Abstract/Summary
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.
Q-Index Code AX
Q-Index Status Confirmed Code
Institutional Status Non-UQ

Document type: Book
Collections: School of Mathematics and Physics
Non HERDC
 
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Created: Fri, 07 Feb 2014, 20:06:16 EST by Radislav Vaisman on behalf of Mathematics