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Simulation and the Monte Carlo Method (3rd Edition) – PDF

eBook Details

  • Authors: Reuven Y. Rubinstein, Dirk P. Kroese
  • File Size: 6 MB
  • Format: PDF
  • Length: 432 Pages
  • Publisher: ‎ Wiley; 3rd edition
  • Publication Date: October 21, 2016
  • Language: English
  • ASIN: B01MG3NZO3
  • ISBN-10: 1118632168
  • ISBN-13: 9781118632161, 9781118632208, 9781118632383

Original price was: $108.00.Current price is: $19.00.

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About The Author

Dirk P. Kroese

Reuven Y. Rubinstein

This accessible new Third Edition examines the key matters in Monte Carlo simulation which have arisen over the final 30 years and presents a sound basis for drawback-fixing Simulation and the Monte Carlo Method, 3rd Edition, (PDF) exhibits the newest developments in the area and presents a totally up to date and complete account of the state-of-the-art concept, strategies, and functions which have arisen in Monte Carlo simulation since the publication of the traditional First Edition over greater than 1 / 4 of a century in the past. While upholding its accessible and intuitive strategy, this revised version features a wealth of up-to-date data that allows a deeper understanding of drawback-fixing throughout a big selection of topic areas, similar to engineering, laptop science, arithmetic, statistics, and the physical and life sciences. The ebook begins with a modernized introduction that addresses the fundamental ideas of likelihood, Markov processes, and convex optimization. Following chapters focus on the dramatic adjustments which have occurred in the area of the Monte Carlo methodology, with protection of quite a few fashionable matters together with: Markov Chain Monte Carlo, variance discount strategies like significance (re-)sampling, and the rework chance ratio methodology, the stochastic approximation methodology and the stochastic counter-half methodology for Monte Carlo optimization, the rating perform methodology for sensitivity evaluation, the cross-entropy methodology for uncommon occasions estimation and combinatorial optimization, and software of Monte Carlo strategies for counting issues. A variety of workout routines is given at the finish of every chapter, along with a beneficiant sampling of utilized examples. The 3rd Edition features a new chapter on the extremely versatile splitting methodology, with functions to uncommon-occasion estimation, sampling, counting, and optimization. A second new chapter introduces the stochastic enumeration methodology, which is a brand new quick sequential Monte Carlo methodology for tree search. Moreover, the 3rd Edition options new materials on:

  • More than 25 new workout routines
  • Multilevel Monte Carlo methodology
  • More than 100 algorithms in fashionable pseudo code with move management
  • Simulation of Brownian movement, Gaussian processes, and diffusion processes
  • Random quantity technology, together with the Mersenne Twister and a number of-recursive turbines
  • New enhancements of the cross-entropy (CE) methodology, together with the “improved” CE methodology, which makes use of sampling from the zero-variance distribution to search out the optimum significance sampling parameters

Simulation and the Monte Carlo Method 3e is a wonderful textbook for higher-undergraduate and starting graduate programs in stochastic simulation and Monte Carlo strategies. The ebook additionally serves as a useful reference for professionals who wish to attain a extra formal understanding of the Monte Carlo methodology. NOTE: The product only consists of the ebook, Simulation and the Monte Carlo Method, 3rd Edition, in PDF. No access codes are included.

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