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A generalized optimization of Monte Carlo particle transport schemes

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Abstract

Formulations and algorithms for optimizing biased random walk problems in radiation transport are described. A matrix-integral equation is constructed by coupling the second moment and its derivative with respect to the biasing parameter. The optimization is based on estimation of the second moment around the score and the Monte Carlo perturbation algorithm to treat the variation in the biasing parameter.

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Authors and Affiliations

  1. Computing Centre, Russian Academy of Sciences, 630 090, Novosibrisk, Russia

    A V Starkov & P K Sarkar

  2. H.P. Unit, Variable Energy Cyclotron Centre, 1/AF Bidhan Nagar, 700 064, Calcutta, India

    P K Sarkar

Authors
  1. A V Starkov
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  2. P K Sarkar
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Starkov, A.V., Sarkar, P.K. A generalized optimization of Monte Carlo particle transport schemes. Pramana - J. Phys 40, L409–L413 (1993). https://doi.org/10.1007/BF02847501

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  • DOI: https://doi.org/10.1007/BF02847501

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