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Hauptverfasser: Shao, Nian, Chen, Wenbin, Bai, Zhaojun
Format: Preprint
Veröffentlicht: 2024
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Online-Zugang:https://arxiv.org/abs/2401.11786
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author Shao, Nian
Chen, Wenbin
Bai, Zhaojun
author_facet Shao, Nian
Chen, Wenbin
Bai, Zhaojun
contents This paper is concerned with the extraction of the smallest eigenvalue and the corresponding eigenvector of a symmetric positive definite matrix pencil. We reveal implicit convexity of the eigenvalue problem in Euclidean space. A provable accelerated eigensolver based on preconditioning and implicit convexity (EPIC) is proposed. Theoretical analysis shows the acceleration of EPIC with the rate of convergence resembling the expected rate of convergence of the well-known locally optimal preconditioned conjugate gradient (LOPCG). A complete proof of the expected rate of convergence of LOPCG is elusive so far. Numerical results confirm our theoretical findings of EPIC.
format Preprint
id arxiv_https___arxiv_org_abs_2401_11786
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle EPIC: a provable accelerated Eigensolver based on Preconditioning and Implicit Convexity
Shao, Nian
Chen, Wenbin
Bai, Zhaojun
Numerical Analysis
15A08, 65F08, 65F15, 90C25
This paper is concerned with the extraction of the smallest eigenvalue and the corresponding eigenvector of a symmetric positive definite matrix pencil. We reveal implicit convexity of the eigenvalue problem in Euclidean space. A provable accelerated eigensolver based on preconditioning and implicit convexity (EPIC) is proposed. Theoretical analysis shows the acceleration of EPIC with the rate of convergence resembling the expected rate of convergence of the well-known locally optimal preconditioned conjugate gradient (LOPCG). A complete proof of the expected rate of convergence of LOPCG is elusive so far. Numerical results confirm our theoretical findings of EPIC.
title EPIC: a provable accelerated Eigensolver based on Preconditioning and Implicit Convexity
topic Numerical Analysis
15A08, 65F08, 65F15, 90C25
url https://arxiv.org/abs/2401.11786