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Generalized Chebyshev Acceleration

dc.contributor.author Gokgoz, Nurgul
dc.date.accessioned 2025-10-06T17:37:43Z
dc.date.available 2025-10-06T17:37:43Z
dc.date.issued 2025
dc.description.abstract We use generalized Chebyshev polynomials, associated with the root system \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$A_2$$\end{document}, to provide a new semi-iterative method for accelerating simple iterative methods for solving linear systems. We apply this semi-iterative method to the Jacobi method, and give an example. We also analyze the efficiency of our method with sparse matrices of large dimension. There are certain restrictions but the resulting acceleration is rather high.
dc.identifier.doi 10.1007/s11075-025-02213-7
dc.identifier.issn 1017-1398
dc.identifier.issn 1572-9265
dc.identifier.scopus 2-s2.0-105015511165
dc.identifier.uri https://doi.org/10.1007/s11075-025-02213-7
dc.identifier.uri https://hdl.handle.net/20.500.12416/15666
dc.language.iso en
dc.publisher Springer
dc.relation.ispartof Numerical Algorithms
dc.rights info:eu-repo/semantics/closedAccess
dc.subject Semi-Iterative Method
dc.subject Generalized Chebyshev Polynomials
dc.subject Julia Set
dc.subject Sparse Matrix
dc.subject Normal Matrix
dc.title Generalized Chebyshev Acceleration
dc.type Article
dspace.entity.type Publication
gdc.author.institutional Gokgoz, Nurgul
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gdc.description.department Çankaya University
gdc.description.departmenttemp [Gokgoz, Nurgul] Cankaya Univ, Math Dept, TR-06815 Ankara, Turkiye
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
gdc.description.scopusquality Q1
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gdc.oaire.keywords FOS: Mathematics
gdc.oaire.keywords Mathematics - Numerical Analysis
gdc.oaire.keywords Numerical Analysis (math.NA)
gdc.oaire.keywords Dynamical Systems (math.DS)
gdc.oaire.keywords Mathematics - Dynamical Systems
gdc.oaire.popularity 2.7494755E-9
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