Stochastic Simulation Algorithms for Iterative Solution of the Lamé Equation

In this paper, iterative stochastic simulation algorithms for the Lamé equation describing the displacements of an isotropic elastic body are constructed. Three different stochastic methods are proposed: the first one is based on a global algorithm of random walk on spheres to compute the solution a...

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Bibliographic Details
Published in:Numerical analysis and applications 2023-12, Vol.16 (4), p.299-316
Main Authors: Aksyuk, I. A., Kireeva, A. E., Sabelfeld, K. K., Smirnov, D. D.
Format: Article
Language:English
Subjects:
Algorithms
Elastic bodies
Iterative methods
Iterative solution
Lame functions
Linear equations
Mathematical analysis
Mathematics
Mathematics and Statistics
Numerical Analysis
Random walk
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Summary:In this paper, iterative stochastic simulation algorithms for the Lamé equation describing the displacements of an isotropic elastic body are constructed. Three different stochastic methods are proposed: the first one is based on a global algorithm of random walk on spheres to compute the solution and its derivatives for an anisotropic diffusion equation. It does not use grids and does not require large amounts of RAM. The second method is based on a randomized algorithm for solving large systems of linear equations and requires the introduction of a grid. The third method is also grid-based and uses a random walk algorithm. All three methods implement an iterative process, at each step of which anisotropic diffusion equations are solved. The paper provides a comparative analysis of the proposed methods and discusses the limits of applicability of each of them.
ISSN:1995-4239
1995-4247
DOI:10.1134/S199542392304002X