Numerical-statistical and analytical study of asymptotics for the average multiplication particle flow in a random medium

DOI10.1134/S0965542521060075zbMath1489.82066OpenAlexW3201115851WikidataQ114075115 ScholiaQ114075115MaRDI QIDQ822217

Gennady A. Mikhailov, Galiya Z. Lotova

Publication date: 21 September 2021

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

Full work available at URL: https://doi.org/10.1134/s0965542521060075

zbMATH Keywords

random mediumparticle flowstatistical modelingtime asymptoticsCOVID-19

Mathematics Subject Classification ID

Computational methods in Markov chains (60J22) Epidemiology (92D30) Kinetic theory of gases in time-dependent statistical mechanics (82C40) Integro-partial differential equations (35R09) PDEs in connection with statistical mechanics (35Q82) Monte Carlo methods applied to problems in statistical mechanics (82M31) Transport equations (35Q49)

Related Items

Agent-based mathematical model of COVID-19 spread in Novosibirsk region: identifiability, optimization and forecasting, Artificial intelligence for COVID-19 spread modeling, Numerical-statistical investigation of superexponential growth of mean particle flow with multiplication in a homogeneous random medium

Cites Work

• Monte Carlo algorithms for estimating time asymptotics of multiplication particle flow in a random medium
• Improvement of multidimensional randomized Monte Carlo algorithms with ``splitting
• Moments of the critical parameters of the transport of particles in a random medium
• Unnamed Item
• Unnamed Item
• Unnamed Item