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JOURNALS // Sibirskii Zhurnal Industrial'noi Matematiki // Archive

Sib. Zh. Ind. Mat., 2017 Volume 20, Number 2, Pages 50–58 (Mi sjim958)

The method of accelerated statistical modeling and its application in problems with irremovable singularity

S. A. Nekrasov

South Russian State Technical University, Prosveshcheniya str., 132, 346428 Novocherkassk

Abstract: We study a number of known methods for solving stochastic problems on the basis of statistical tests (a Monte Carlo method). Aiming at a comparative study of the efficiency of these methods, we solve a number of problems in the theory of technical systems with inaccurately given and random parameters and characteristics.

Keywords: simulation, Monte Carlo method, the method of accelerated statistical modeling, comparison of efficiency.

UDC: 621.316

Received: 06.02.2016

DOI: 10.17377/sibjim.2017.20.206


 English version:
Journal of Applied and Industrial Mathematics, 2017, 11:2, 244–251

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© Steklov Math. Inst. of RAS, 2026