Monte Carlo Methods for Estimating the Probability Distributions of Criticality Parameters of Particle Transport in a Randomly Perturbed Medium

Результат исследования: Научные публикации в периодических изданияхстатья

2 Цитирования (Scopus)


Abstract: Parallelizable Monte Carlo algorithms are developed for estimating the probability moments of criticality parameters for transport of particles with multiplication in a random medium. For this purpose, new iterative estimates of the multiplication factor and recurrence representations of statistical estimates of moments are constructed by applying the double randomization method and the randomized projection method. The practical efficiency of the proposed approaches is confirmed by test results obtained using special randomized homogenization with an improved diffusion approximation for a multilayered ball.

Язык оригиналаанглийский
Страницы (с-по)1828-1837
Число страниц10
ЖурналComputational Mathematics and Mathematical Physics
Номер выпуска11
СостояниеОпубликовано - 1 ноя 2018