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High-accuracy numerical methods for a parabolic system in air pollution modeling., , , и . Neural Comput. Appl., 32 (10): 6025-6040 (2020)Advanced stochastic approaches for Sobol' sensitivity indices evaluation., , , , , , и . Neural Comput. Appl., 33 (6): 1999-2014 (2021)Parallel computations of eigenvalues based on a Monte Carlo approach., и . Monte Carlo Methods Appl., 4 (1): 33-52 (1998)A benchmark study of the Wigner Monte Carlo method., , , и . Monte Carlo Methods Appl., 20 (1): 43-51 (2014)A Wigner Monte Carlo approach to density functional theory., и . J. Comput. Phys., (2014)Studying absolute stability properties of the Richardson Extrapolation combined with explicit Runge-Kutta methods., , и . Comput. Math. Appl., 67 (12): 2294-2307 (2014)Computational complexity of weighted splitting schemes on parallel computers., , , , и . Int. J. Parallel Emergent Distributed Syst., 22 (3): 137-147 (2007)Special section: Applications of distributed and grid computing., , , , и . Future Gener. Comput. Syst., 24 (6): 582-584 (2008)Optimized stochastic methods for sensitivity analysis for large-scale air pollution model., , , и . FedCSIS (Position Papers), том 26 из Annals of Computer Science and Information Systems, стр. 85-88. (2021)Optimized Quasi-Monte Carlo Methods Based on Van der Corput Sequence for Sensitivity Analysis in Air Pollution Modelling., , , , , и . WCO@FedCSIS, том 986 из Studies in Computational Intelligence, стр. 389-405. Springer, (2020)