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  1. 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

  2. New Statistical Kernel-Projection Estimator in the Monte Carlo Method

    Mikhailov, G. A., Tracheva, N. V. & Ukhinov, S. A., 1 Jul 2020, In: Doklady Mathematics. 102, 1, p. 313-317 5 p.

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

  3. 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

  4. 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

  5. New monte carlo algorithm for evaluation of outgoing polarized radiation

    Mikhailov, G. A., Tracheva, N. V. & Ukhinov, S. A., 1 Jan 2018, Statistics and Simulation - IWS 8, Vienna, Austria, September 2015. Pilz, J., Rasch, D., Melas, VB. & Moder, K. (eds.). Springer New York, Vol. 231. p. 115-125 11 p. (Springer Proceedings in Mathematics & Statistics; vol. 231).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  6. New correlative randomized algorithms for statistical modelling of radiation transfer in stochastic medium

    Mikhailov, G. A. & Medvedev, I. N., 1 Aug 2021, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 36, 4, p. 219-225 7 p.

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

  7. New Correlative Randomized Algorithm for Estimating the Influence of the Medium Stochasticity on Particle Transport

    Mikhailov, G. A. & Medvedev, I. N., May 2021, In: Doklady Mathematics. 103, 3, p. 143-145 3 p.

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

  8. New Computer Efficient Approximations of Random Functions for Solving Stochastic Transport Problems

    Mikhailov, G. A. & Medvedev, I. N., Feb 2024, In: Computational Mathematics and Mathematical Physics. 64, 2, p. 314-325 12 p.

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

  9. Monte Carlo methods for solving the first boundary value problem for a polyharmonic equation

    Lukinov, V. L. & Mikhailov, G. A., 1 Mar 2005, In: Computational Mathematics and Mathematical Physics. 45, 3, p. 476-489 14 p.

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

  10. 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

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