AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (302.4 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

The shift-based scaling and recursing algorithm for evaluating the action of the matrix φ-functions

Xianan LuDongping Li( )Zhixin Zhao( )
School of Mathematics, Changchun Normal University, 677 Changji North Road, Changchun, MO 130032, China
Show Author Information

Abstract

In this paper, we present an efficient method for computing the action of matrix φ-functions. Our approach is based on a scaling and recursing procedure and incorporates a shifting technique as a preprocessing step to enhance efficiency. We conduct a forward error analysis to determine the optimal scaling parameter and polynomial degree for achieving the desired accuracy. Numerical comparisons with existing algorithms demonstrate that the proposed algorithm performs well in terms of both accuracy and efficiency.

CLC number: 65L05, 65F10, 65F30

References

【1】
【1】
 
 
AIMS Mathematics
Pages 2854-2868

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Lu X, Li D, Zhao Z. The shift-based scaling and recursing algorithm for evaluating the action of the matrix φ-functions. AIMS Mathematics, 2025, 10(2): 2854-2868. https://doi.org/10.3934/math.2025133

132

Views

1

Downloads

0

Crossref

0

Web of Science

0

Scopus

Received: 09 November 2024
Revised: 21 January 2025
Accepted: 05 February 2025
Published: 15 February 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)