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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Vydané v:	Nuclear science and engineering Ročník 124; číslo 2; s. 291 - 308
Hlavní autori:	Sarkar, P. K., Rief, Herbert
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	La Grange Park, IL Taylor & Francis 01.10.1996 American Nuclear Society
Predmet:	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
On-line prístup:	Získať plný text
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