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A parallel algorithm of icsym forcomplexsymmetric linear systems in quantum chemistry

creativeworkseries.issn1508-2806
dc.contributor.authorZhang, Yingchun
dc.contributor.authorLv, Quanyi
dc.contributor.authorXiao, Manyu
dc.contributor.authorXie, Gongnan
dc.contributor.authorBreitkopf, Piotr
dc.date.available2025-06-17T06:43:47Z
dc.date.issued2018
dc.descriptionBibliogr. s. 399-400.
dc.description.abstractComputational effort is a common issue for solving large-scale complex symmetric linear systems, particularly in quantum chemistry applications. In order to alleviate this problem, we propose a parallel algorithm of improved conjugate gradient-type iterative (ICSYM). Using three-term recurrence relation and or- thogonal properties of residual vectors to replace the tridiagonalization process of classical CSYM, which allows to decrease the degree of the reduce-operator from two to one communication at each iteration and to reduce the amount of vector updates and vector multiplications. Several numerical examples are implemented to show that high performance of proposed improved version is obtained both in convergent rate and in parallel efficiency.en
dc.description.placeOfPublicationKraków
dc.description.versionwersja wydawnicza
dc.identifier.doihttps://doi.org/10.7494/csci.2018.19.4.2868
dc.identifier.eissn2300-7036
dc.identifier.issn1508-2806
dc.identifier.urihttps://repo.agh.edu.pl/handle/AGH/113214
dc.language.isoeng
dc.publisherWydawnictwa AGH
dc.relation.ispartofComputer Science
dc.rightsAttribution 4.0 International
dc.rights.accessotwarty dostęp
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/legalcode
dc.subjectcomplex symmetric linear systemsen
dc.subjectparallel computingen
dc.subjectimproved conjugate gradient-type iterative algorithm (ICSYM)en
dc.titleA parallel algorithm of icsym forcomplexsymmetric linear systems in quantum chemistryen
dc.title.relatedComputer Scienceen
dc.typeartykuł
dspace.entity.typePublication
publicationissue.issueNumberNo. 4
publicationissue.paginationpp. 385-401
publicationvolume.volumeNumberVol. 19
relation.isJournalIssueOfPublicationf74897b3-72e8-4363-9446-b486fc73c907
relation.isJournalIssueOfPublication.latestForDiscoveryf74897b3-72e8-4363-9446-b486fc73c907
relation.isJournalOfPublication020291ee-249b-4dcf-98a3-276a2f7981aa

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