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Research Article | Open Access

The numerical solution of the Dirichlet generalized and classical harmonic problems for irregular n-sided pyramidal domains by the method of probabilistic solutions

Mamuli Zakradze1Zaza Tabagari1Nana Koblishvili1Tinatin Davitashvili2José-María Sánchez-Sáez3Francisco Criado-Aldeanueva4( )
Department of Computational Methods, N. Muskhelishvili Institute of Computational Mathematics of the Georgian Technical University, Tbilisi, Georgia
Faculty of Exact and Natural Sciences, I. Javakhishvili Tbilisi State University, Tbilisi, Georgia
Department of Didactics of Mathematics, Faculty of Education, University of Malaga, 29071 Malaga, Spain
Department of Applied Physics II, Polytechnic School, University of Malaga, 29071 Malaga, Spain
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Abstract

This paper describes the application of the method of probabilistic solutions (MPS) to numerically solve the Dirichlet generalized and classical harmonic problems for irregular n-sided pyramidal domains. Here, "generalized" means that the boundary function has a finite number of first-kind discontinuity curves, with the pyramid edges acting as these curves. The pyramid's base is a convex polygon, and its vertex projection lies within the base. The proposed algorithm for solving boundary problems numerically includes the following steps: a) applying MPS, which relies on computer modeling of the Wiener process; b) determining the intersection point between the simulated Wiener process path and the pyramid surface; c) developing a code for numerical implementation and verifying the accuracy of the results; d) calculating the desired function's value at any chosen point. Two examples are provided for illustration, and the results of the numerical experiments are presented and discussed.

CLC number: 35J05, 35J25, 65C30, 65N75

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AIMS Mathematics
Pages 17657-17671

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Cite this article:
Zakradze M, Tabagari Z, Koblishvili N, et al. The numerical solution of the Dirichlet generalized and classical harmonic problems for irregular n-sided pyramidal domains by the method of probabilistic solutions. AIMS Mathematics, 2025, 10(8): 17657-17671. https://doi.org/10.3934/math.2025789

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Received: 06 March 2025
Revised: 20 July 2025
Accepted: 28 July 2025
Published: 15 August 2025
©2025 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)