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  1. 2020

  2. Numerically statistical investigation of the partly super-exponential growth rate in the COVID-19 pandemic (throughout the world)

    Lotova, G. Z. & Mikhailov, G. A., 1 Dec 2020, In: Journal of Inverse and Ill-Posed Problems. 28, 6, p. 877-879 3 p.

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

  3. The study of time dependence of particle flux with multiplication in a random medium

    Lotova, G. Z. & Mikhailov, G. A., 1 Feb 2020, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 35, 1, p. 11-20 10 p.

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

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

    Mikhailov, G. A. & Lotova, G. Z., 1 Jan 2020, In: Doklady Mathematics. 101, 1, p. 40-42 3 p.

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

  5. 2018

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

    Mikhailov, G. A. & Lotova, G. Z., 1 Nov 2018, In: Computational Mathematics and Mathematical Physics. 58, 11, p. 1828-1837 10 p.

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

  7. New Monte Carlo Algorithms for Estimating Probability Moments of Criticality Parameters for a Scattering Process with Multiplication in Stochastic Media

    Mikhailov, G. A. & Lotova, G. Z., 1 Jan 2018, In: Doklady Mathematics. 97, 1, p. 6-10 5 p.

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

  8. 2017

  9. New Monte Carlo algorithms for investigation of criticality fluctuations in the particle scattering process with multiplication in stochastic media

    Ambos, A. Y., Lotova, G. & Mikhailov, G., 27 Jun 2017, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 32, 3, p. 165-172 8 p.

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

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