Unbiased non-simulation estimators in Monte Carlo methods and their applications in particle transport
作者:
A.I. Khisamutdinov,
期刊:
Transport Theory and Statistical Physics
(Taylor Available online 1998)
卷期:
Volume 27,
issue 3-4
页码: 303-316
ISSN:0041-1450
年代: 1998
DOI:10.1080/00411459808205627
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
General principles of Monte Carlo(MC) methods for integral equations and their application in particle transport are considered. In contrast to weight optimization of MC methods, here the distribution of trajectories is assumed to be given and fixed and estimators are varied. Some efficient and original non-simulation estimators are described. In these estimators approximations of the solution to the adjoint problem are used.
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