Fast sequential Monte Carlo methods for counting and optimization

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...

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Detalles Bibliográficos
Autores principales: Rubinstein, Reuven Y, Ridder, Ad, Vaisman, Radislav
Lenguaje:eng
Publicado: Wiley 2013
Materias:
Mathematical Physics and Mathematics
Acceso en línea:http://cds.cern.ch/record/1641700
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author Rubinstein, Reuven Y
Ridder, Ad
Vaisman, Radislav
author_facet Rubinstein, Reuven Y
Ridder, Ad
Vaisman, Radislav
author_sort Rubinstein, Reuven Y
collection CERN
description 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
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institution Organización Europea para la Investigación Nuclear
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publishDate 2013
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spelling cern-16417002021-04-21T21:23:45Zhttp://cds.cern.ch/record/1641700engRubinstein, Reuven YRidder, AdVaisman, RadislavFast sequential Monte Carlo methods for counting and optimizationMathematical Physics and Mathematics 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 Wileyoai:cds.cern.ch:16417002013
spellingShingle Mathematical Physics and Mathematics
Rubinstein, Reuven Y
Ridder, Ad
Vaisman, Radislav
Fast sequential Monte Carlo methods for counting and optimization
title Fast sequential Monte Carlo methods for counting and optimization
title_full Fast sequential Monte Carlo methods for counting and optimization
title_fullStr Fast sequential Monte Carlo methods for counting and optimization
title_full_unstemmed Fast sequential Monte Carlo methods for counting and optimization
title_short Fast sequential Monte Carlo methods for counting and optimization
title_sort fast sequential monte carlo methods for counting and optimization
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/1641700
work_keys_str_mv AT rubinsteinreuveny fastsequentialmontecarlomethodsforcountingandoptimization
AT ridderad fastsequentialmontecarlomethodsforcountingandoptimization
AT vaismanradislav fastsequentialmontecarlomethodsforcountingandoptimization

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