Neural-network Green's function for elliptic problems with a variable coefficient and its application in the method of discrete singularities

A neural-network method is proposed for constructing the Green's function of a two-dimensional elliptic operator in divergence form with a variable coefficient. The neural-network Green's function is used as the kernel of integral equations in the method of discrete singularities.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-24
DOI
https://doi.org/10.5281/zenodo.20836459
Primary Topic
Neural Networks and Applications
Type
preprint
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preprint

Neural-network Green's function for elliptic problems with a variable coefficient and its application in the method of discrete singularities

Д. Н. Никольский
Zenodo (CERN European Organization for Nuclear Research)
Neural Networks and Applications
preprint

Neural-network Green's function for elliptic problems with a variable coefficient and its application in the method of discrete singularities

Д. Н. Никольский
preprint en

Abstract

A neural-network method is proposed for constructing the Green's function of a two-dimensional elliptic operator in divergence form with a variable coefficient. The neural-network Green's function is used as the kernel of integral equations in the method of discrete singularities.

Zenodo (CERN European Organization for Nuclear Research)
Neural Networks and Applications
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