Geometric Convergence of Adaptive Monte Carlo Algorithms for Radiative Transport Problems Based on Importance Sampling Methods-Reference-Cited by-同舟云学术

Geometric Convergence of Adaptive Monte Carlo Algorithms for Radiative Transport Problems Based on Importance Sampling Methods

Published:2011-07 Issue:3 Volume:168 Page:197-225
ISSN:0029-5639
Container-title:Nuclear Science and Engineering
language:en
Short-container-title:Nuclear Science and Engineering

Author:

Kong Rong¹,Spanier Jerome²

Affiliation:

1. Claremont Graduate University, 150 E. 10th Street, Claremont, California 91711

2. Beckman Laser Institute and Medical Clinic, 1002 Health Science Road E. University of California, Irvine, California 92612

Publisher

Informa UK Limited

Subject

Nuclear Energy and Engineering

Link

https://www.tandfonline.com/doi/pdf/10.13182/NSE10-29

Reference34 articles.

1. J. M. HAMMERSLEY and D. C. HANDSCOMB, Monte Carlo Methods, Methuen and Company, London (1964).

2. J. SPANIER and E. M. GELBARD, Monte Carlo Principles and Neutron Transport Problems, Addison-Wesley Publishing Company (1969); reprinted by Dover Publications (2008).

3. M. H. KALOS and P. A. WHITLOCK, Monte Carlo Methods, Volume I: Basics, Wiley-Interscience, New York (1986).

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