Fast Sequential Monte Carlo Methods for Counting and Optimization
eBook - ePub

Fast Sequential Monte Carlo Methods for Counting and Optimization

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Fast Sequential Monte Carlo Methods for Counting and Optimization

About this book

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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Yes, you can access Fast Sequential Monte Carlo Methods for Counting and Optimization by Reuven Y. Rubinstein,Ad Ridder,Radislav Vaisman in PDF and/or ePUB format, as well as other popular books in Mathematics & Computer Science General. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2013
Print ISBN
9781118612262
eBook ISBN
9781118612354

Table of contents

  1. Cover
  2. Series
  3. Copyright
  4. Dedication
  5. Chapter 1: Introduction to Monte Carlo Methods
  6. Chapter 2: Cross-Entropy Method
  7. Chapter 3: Minimum Cross-Entropy Method
  8. Chapter 4: Splitting Method for Counting and Optimization
  9. Chapter 5: Stochastic Enumeration Method
  10. Appendix A: Additional Topics
  11. Bibliography
  12. Abbreviations and Acronyms
  13. List of Symbols
  14. Index
  15. Series