Effective averaging of stochastic radiative models based on Monte Carlo simulation

DOI10.1134/S0965542516050055zbMath1367.82006OpenAlexW2498743864MaRDI QIDQ327075

Andrey Yu. Ambos, Gennady A. Mikhailov

Publication date: 13 October 2016

Published in: Computational Mathematics and Mathematical Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s0965542516050055

zbMATH Keywords

random fieldcorrelation lengthtransmission functionradiation transferdouble randomizationmaximum cross section methodpenetration probabilityPoisson ensemble

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Monte Carlo methods (65C05)

Related Items (6)

Randomized algorithms of Monte Carlo method for problems with random parameters (“double randomization” method) ⋮ Numerically statistical simulation of the intensity field of the radiation transmitted through a random medium ⋮ Monte Carlo methods for estimating the probability distributions of criticality parameters of particle transport in a randomly perturbed medium ⋮ Optimization of randomized Monte Carlo algorithms for solving problems with random parameters ⋮ Influence of unbroken clouds stochastic structure on the solar radiation transfer with results of Monte Carlo simulation ⋮ Improvement of multidimensional randomized Monte Carlo algorithms with ``splitting

Cites Work

• Statistical simulation of an exponentially correlated many-dimensional random field
• A Random Set Process in the Plane with a Markovian Property
• Random Subdivisions of Space into Crystals
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