Fast sequential Monte Carlo methods for counting and optimization [Book] / Reuven Y. Rubinstein, Faculty of Industrial Engineering and Management, Technion, Israel Institute of Technology, Haifa, Israel, Ad Ridder, Department of Econometrics and Operations Research, Vrije University, Amsterdam, Netherlands, Radislav Vaisman, Faculty of Industrial Engineering and Management, Technion, Israel Institute of Technology, Haifa, Israel.

By:

Rubinstein, Reuven Y

Contributor(s):

Material type: Text

TextSeries: Wiley series in probability and statistics | Wiley series in probability and statisticsPublisher: Hoboken, New Jersey : Wiley, [2014]Description: xiii, 182 pages : illustrations ; 25 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781118612262 (cloth)
9781118514948 (oBook)
9781118514924 (ePDF)
9781118514931 (ePub)
9781118514900 (eMOBI)

Subject(s):

Additional physical formats: Online version:: Fast sequential Monte Carlo methods for counting and optimizationDDC classification:

518 .282 23

Other classification:

518.282

Summary: 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.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Books	Junaid Zaidi Library, COMSATS University Islamabad	518.282 RUB-F (Browse shelf(Opens below))	Available		48126

Total holds: 0

Includes bibliographical references (pages 169-176) and index.

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.

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