The Monte Carlo Method for Solving Large Systems of Linear Ordinary Differential Equations-Reference-Cited by-同舟云学术

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The Monte Carlo Method for Solving Large Systems of Linear Ordinary Differential Equations

Published:2021-01 Issue:1 Volume:54 Page:28-38
ISSN:1063-4541
Container-title:Vestnik St. Petersburg University, Mathematics
language:en
Short-container-title:Vestnik St.Petersb. Univ.Math.

Author:

Ermakov S. M.,Smilovitskiy M. G.

Publisher

Pleiades Publishing Ltd

Subject

General Mathematics

Link

https://link.springer.com/content/pdf/10.1134/S1063454121010064.pdf

Reference10 articles.

1. C. M. Ermakov, The Monte-Carlo Method in Computational Mathematics (Nevskii Dialekt, St. Petersburg, 2009) [in Russian].

2. C. M. Ermakov, Monte-Carlo Method and Related Topics (Nauka, Moscow, 1975) [in Russian].

3. C. M. Ermakov and A. S. Sipin, Monte-Carlo Method and Parametrical Divisibility of Algorithms (S.-Peterb. Gos. Univ., St. Petersburg, 2014) [in Russian].

4. C. M. Ermakov and G. A. Mikhailov, Statistical Modeling (Nauka, Moscow, 1982) [in Russian].

5. S. Ermakov and A. Pogosian, “On solving stochastic differential equations,” Monte Carlo Methods Appl. 25, 155–161 (2019). https://doi.org/10.1515/mcma-2019-2038

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Stochastic Computational Methods and Experiment Design;Vestnik St. Petersburg University, Mathematics;2023-06

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