Optimization of Nonanalog Monte Carlo Games Using Differential Operator Sampling

The amounts of change in the variance and in the efficiency of nonanalog Monte Carlo simulations for certain variations in the biasing parameters are important quantities when optimizing such simulations. Anew approach, based on the differential operator sampling technique, is outlined to estimate t...

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Bibliographic Details
Published in:	Nuclear science and engineering Vol. 124; no. 2; pp. 291 - 308
Main Authors:	Sarkar, P. K., Rief, Herbert
Format:	Journal Article
Language:	English
Published:	La Grange Park, IL Taylor & Francis 01.10.1996 American Nuclear Society
Subjects:	Computational techniques Exact sciences and technology Mathematical methods in physics Monte carlo and statistical methods Neutron physics Neutron transport: diffusion and moderation Nuclear engineering and nuclear power studies Nuclear physics Numerical approximation and analysis Numerical optimization Physics Monte Carlo method Algorithms Sampling theory Random walk Differential operator Computerized simulation Optimization Neutron transport
ISSN:	0029-5639, 1943-748X
Online Access:	Get full text
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