Convergence of the adaptive finite element discretization based parallel orbital-updating method for eigenvalue problems

Fuente: arXiv
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Main Authors: Dai, Xiaoying, Li, Yan, Yang, Bin, Zhou, Aihui
Format: Preprint
Published: 2025
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author Dai, Xiaoying
Li, Yan
Yang, Bin
Zhou, Aihui
author_facet Dai, Xiaoying
Li, Yan
Yang, Bin
Zhou, Aihui
contents It is significant and challenging to solve eigenvalue problems of partial differential operators when many highly accurate eigenpair approximations are required. The adaptive finite element discretization based parallel orbital-updating method, which can significantly reduce the computational cost and enhance the parallel scalability, has been shown to be efficient in electronic structure calculations. However, there is no any mathematical justification for this method in literature. In this paper, we will show the convergence of the method for clustered eigenvalue problems of linear partial differential operators.
format Preprint
id arxiv_https___arxiv_org_abs_2508_19832
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Convergence of the adaptive finite element discretization based parallel orbital-updating method for eigenvalue problems
Dai, Xiaoying
Li, Yan
Yang, Bin
Zhou, Aihui
Numerical Analysis
It is significant and challenging to solve eigenvalue problems of partial differential operators when many highly accurate eigenpair approximations are required. The adaptive finite element discretization based parallel orbital-updating method, which can significantly reduce the computational cost and enhance the parallel scalability, has been shown to be efficient in electronic structure calculations. However, there is no any mathematical justification for this method in literature. In this paper, we will show the convergence of the method for clustered eigenvalue problems of linear partial differential operators.
title Convergence of the adaptive finite element discretization based parallel orbital-updating method for eigenvalue problems
topic Numerical Analysis
url https://arxiv.org/abs/2508.19832