Numerically statistical simulation of the intensity field of the radiation transmitted through a random medium
From MaRDI portal
Publication:1643987
DOI10.1515/rnam-2018-0014OpenAlexW2808689291WikidataQ129726755 ScholiaQ129726755MaRDI QIDQ1643987
Andrey Yu. Ambos, Gennady A. Mikhailov
Publication date: 20 June 2018
Published in: Russian Journal of Numerical Analysis and Mathematical Modelling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1515/rnam-2018-0014
random mediumMonte Carlo methodradiative transferstatistical modellingradiative transfer equationdelta scatteringdouble randomization methodradiation quantumrandomized projection methodstatistical kernel estimate
Related Items (3)
On the efficiency of using correlative randomized algorithms for solving problems of gamma radiation transfer in stochastic medium ⋮ New correlative randomized algorithms for statistical modelling of radiation transfer in stochastic medium ⋮ New correlative randomized algorithm for estimating the influence of the medium stochasticity on particle transport
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Solution of radiative transfer theory problems for `realistic' models of random media using the Monte Carlo method
- Effective averaging of stochastic radiative models based on Monte Carlo simulation
- Monte Carlo algorithms for calculation of diffusive characteristics of an electron avalanche in gases
- Randomized projection method for estimating angular distributions of polarized radiation based on numerical statistical modeling
- Efficient Monte Carlo algorithms for evaluating the correlation characteristics of conditional mathematical expectations
- A Random Set Process in the Plane with a Markovian Property
- Random Subdivisions of Space into Crystals
- Numerical models of mosaic homogeneous isotropic random fields and problems of radiative transfer
This page was built for publication: Numerically statistical simulation of the intensity field of the radiation transmitted through a random medium