{"title":"Performance of the shifted minimal residual method for multiply shifted linear systems with real symmetric or complex Hermitian coefficient matrices","authors":"Shuntaro Hidaka , Shuhei Kudo , Takeo Hoshi , Yusaku Yamamoto","doi":"10.1016/j.cpc.2025.109679","DOIUrl":null,"url":null,"abstract":"<div><div>We consider solving multiply shifted linear systems <span><math><mo>(</mo><mi>A</mi><mo>+</mo><msup><mrow><mi>σ</mi></mrow><mrow><mo>(</mo><mi>m</mi><mo>)</mo></mrow></msup><mi>I</mi><mo>)</mo><msup><mrow><mi>x</mi></mrow><mrow><mo>(</mo><mi>m</mi><mo>)</mo></mrow></msup><mo>=</mo><mi>b</mi></math></span> (<span><math><mi>m</mi><mo>=</mo><mn>1</mn><mo>,</mo><mo>…</mo><mo>,</mo><mi>M</mi></math></span>) with a real symmetric or complex Hermitian coefficient matrix <em>A</em>. For this type of problem, the shifted COCG and shifted BiCG methods have been considered as the methods of choice for the real and complex cases, respectively, and they are implemented in matrix libraries such as K<em>ω</em>. While it is also possible to apply the shifted version of the MINRES algorithm, to the best of our knowledge, the approach has attracted less attention. In this paper, we investigate mathematical properties of the shifted MINRES method applied to this type of problem and show that it has several advantages over the shifted COCG or shifted BiCG methods, such as absence of breakdown, monotonic decrease of the residual norm, and a lower operation count in the complex Hermitian case. Numerical results that confirm these advantages are also provided.</div></div>","PeriodicalId":285,"journal":{"name":"Computer Physics Communications","volume":"314 ","pages":"Article 109679"},"PeriodicalIF":3.4000,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Physics Communications","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S001046552500181X","RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
We consider solving multiply shifted linear systems () with a real symmetric or complex Hermitian coefficient matrix A. For this type of problem, the shifted COCG and shifted BiCG methods have been considered as the methods of choice for the real and complex cases, respectively, and they are implemented in matrix libraries such as Kω. While it is also possible to apply the shifted version of the MINRES algorithm, to the best of our knowledge, the approach has attracted less attention. In this paper, we investigate mathematical properties of the shifted MINRES method applied to this type of problem and show that it has several advantages over the shifted COCG or shifted BiCG methods, such as absence of breakdown, monotonic decrease of the residual norm, and a lower operation count in the complex Hermitian case. Numerical results that confirm these advantages are also provided.
期刊介绍:
The focus of CPC is on contemporary computational methods and techniques and their implementation, the effectiveness of which will normally be evidenced by the author(s) within the context of a substantive problem in physics. Within this setting CPC publishes two types of paper.
Computer Programs in Physics (CPiP)
These papers describe significant computer programs to be archived in the CPC Program Library which is held in the Mendeley Data repository. The submitted software must be covered by an approved open source licence. Papers and associated computer programs that address a problem of contemporary interest in physics that cannot be solved by current software are particularly encouraged.
Computational Physics Papers (CP)
These are research papers in, but are not limited to, the following themes across computational physics and related disciplines.
mathematical and numerical methods and algorithms;
computational models including those associated with the design, control and analysis of experiments; and
algebraic computation.
Each will normally include software implementation and performance details. The software implementation should, ideally, be available via GitHub, Zenodo or an institutional repository.In addition, research papers on the impact of advanced computer architecture and special purpose computers on computing in the physical sciences and software topics related to, and of importance in, the physical sciences may be considered.