Monte Carlo Algorithms for Estimating Time Asymptotics of Multiplication Particle Flow in a Random Medium

G. A. Mikhailov, G. Z. Lotova

Research output: Contribution to journal › Article › peer-review

Abstract

The fluctuations of the number of scattering and multiplying particles in a random medium are investigated as functions of time. For this purpose, randomized Monte Carlo algorithms for estimating the probabilistic moments of the corresponding exponential asymptotic parameter are constructed.

Original languageEnglish
Pages (from-to)40-42
Number of pages3
JournalDoklady Mathematics
Volume101
Issue number1
DOIs
Publication statusPublished - 1 Jan 2020

Keywords

  • Monte Carlo method
  • time constant
  • transport theory
  • weighted modifications

Access to Document

Fingerprint Dive into the research topics of 'Monte Carlo Algorithms for Estimating Time Asymptotics of Multiplication Particle Flow in a Random Medium'. Together they form a unique fingerprint.

Cite this