Monte Carlo Algorithms for the Extracting of Electrical Capacitance
We present new Monte Carlo algorithms for extracting mutual capacitances for a system of conductors embedded in inhomogeneous isotropic dielectrics. We represent capacitances as functionals of the solution of the external Dirichlet problem for the Laplace equation. Unbiased and low-biased estimators...
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2021
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oai:doaj.org-article:2067a348e30846d282f3578e08b52ad82021-11-25T18:17:13ZMonte Carlo Algorithms for the Extracting of Electrical Capacitance10.3390/math92229222227-7390https://doaj.org/article/2067a348e30846d282f3578e08b52ad82021-11-01T00:00:00Zhttps://www.mdpi.com/2227-7390/9/22/2922https://doaj.org/toc/2227-7390We present new Monte Carlo algorithms for extracting mutual capacitances for a system of conductors embedded in inhomogeneous isotropic dielectrics. We represent capacitances as functionals of the solution of the external Dirichlet problem for the Laplace equation. Unbiased and low-biased estimators for the capacitances are constructed on the trajectories of the Random Walk on Spheres or the Random Walk on Hemispheres. The calculation results show that the accuracy of these new algorithms does not exceed the statistical error of estimators, which is easily determined in the course of calculations. The algorithms are based on mean value formulas for harmonic functions in different domains and do not involve a transition to a difference problem. Hence, they do not need a lot of storage space.Andrei KuznetsovAlexander SipinMDPI AGarticlecapacitancedirichlet boundary value problemmonte carlo methodunbiased estimatorvon-neumann-ulam schemeMathematicsQA1-939ENMathematics, Vol 9, Iss 2922, p 2922 (2021) |
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capacitance dirichlet boundary value problem monte carlo method unbiased estimator von-neumann-ulam scheme Mathematics QA1-939 |
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capacitance dirichlet boundary value problem monte carlo method unbiased estimator von-neumann-ulam scheme Mathematics QA1-939 Andrei Kuznetsov Alexander Sipin Monte Carlo Algorithms for the Extracting of Electrical Capacitance |
description |
We present new Monte Carlo algorithms for extracting mutual capacitances for a system of conductors embedded in inhomogeneous isotropic dielectrics. We represent capacitances as functionals of the solution of the external Dirichlet problem for the Laplace equation. Unbiased and low-biased estimators for the capacitances are constructed on the trajectories of the Random Walk on Spheres or the Random Walk on Hemispheres. The calculation results show that the accuracy of these new algorithms does not exceed the statistical error of estimators, which is easily determined in the course of calculations. The algorithms are based on mean value formulas for harmonic functions in different domains and do not involve a transition to a difference problem. Hence, they do not need a lot of storage space. |
format |
article |
author |
Andrei Kuznetsov Alexander Sipin |
author_facet |
Andrei Kuznetsov Alexander Sipin |
author_sort |
Andrei Kuznetsov |
title |
Monte Carlo Algorithms for the Extracting of Electrical Capacitance |
title_short |
Monte Carlo Algorithms for the Extracting of Electrical Capacitance |
title_full |
Monte Carlo Algorithms for the Extracting of Electrical Capacitance |
title_fullStr |
Monte Carlo Algorithms for the Extracting of Electrical Capacitance |
title_full_unstemmed |
Monte Carlo Algorithms for the Extracting of Electrical Capacitance |
title_sort |
monte carlo algorithms for the extracting of electrical capacitance |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/2067a348e30846d282f3578e08b52ad8 |
work_keys_str_mv |
AT andreikuznetsov montecarloalgorithmsfortheextractingofelectricalcapacitance AT alexandersipin montecarloalgorithmsfortheextractingofelectricalcapacitance |
_version_ |
1718411368291368960 |