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.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- text
- unmediated
- volume
- 9781118612262 (cloth)
- 9781118514948 (oBook)
- 9781118514924 (ePDF)
- 9781118514931 (ePub)
- 9781118514900 (eMOBI)
- 518 .282 23
- 518.282
Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
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Junaid Zaidi Library, COMSATS University Islamabad | 518.282 RUB-F (Browse shelf(Opens below)) | Available | 48126 |
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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