Error and stability estimates of a least-squares variational kernel-based method for second order elliptic PDEs.

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Title: Error and stability estimates of a least-squares variational kernel-based method for second order elliptic PDEs.
Authors: Seyednazari, Salar1 (AUTHOR) salarseyednazari@gmail.com, Tatari, Mehdi1,2 (AUTHOR) mtatari@cc.iut.ac.ir, Mirzaei, Davoud3 (AUTHOR) d.mirzaei@sci.ui.ac.ir
Source: Computers & Mathematics with Applications. Dec2021, Vol. 103, p1-11. 11p.
Subjects: Elliptic differential equations, Differential operators, Sobolev spaces, Algebraic equations, Selfadjoint operators, Rayleigh model
Abstract: We consider a least-squares variational kernel-based method for numerical solution of second order elliptic partial differential equations on a multi-dimensional domain. In this setting it is not assumed that the differential operator is self-adjoint or positive definite as it should be in the Rayleigh-Ritz setting. However, the new scheme leads to a symmetric and positive definite algebraic system of equations. Moreover, the resulting method does not rely on certain subspaces satisfying the boundary conditions. The trial space for discretization is provided via standard kernels that reproduce the Sobolev spaces as their native spaces. The error analysis of the method is given, but it is partly subjected to an inverse inequality on the boundary which is still an open problem. The condition number of the final linear system is approximated in terms of the smoothness of the kernel and the discretization quality. Finally, the results of some computational experiments support the theoretical error bounds. [ABSTRACT FROM AUTHOR]
Copyright of Computers & Mathematics with Applications is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Error and stability estimates of a least-squares variational kernel-based method for second order elliptic PDEs.
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  Data: <searchLink fieldCode="DE" term="%22Elliptic+differential+equations%22">Elliptic differential equations</searchLink><br /><searchLink fieldCode="DE" term="%22Differential+operators%22">Differential operators</searchLink><br /><searchLink fieldCode="DE" term="%22Sobolev+spaces%22">Sobolev spaces</searchLink><br /><searchLink fieldCode="DE" term="%22Algebraic+equations%22">Algebraic equations</searchLink><br /><searchLink fieldCode="DE" term="%22Selfadjoint+operators%22">Selfadjoint operators</searchLink><br /><searchLink fieldCode="DE" term="%22Rayleigh+model%22">Rayleigh model</searchLink>
– Name: Abstract
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  Data: We consider a least-squares variational kernel-based method for numerical solution of second order elliptic partial differential equations on a multi-dimensional domain. In this setting it is not assumed that the differential operator is self-adjoint or positive definite as it should be in the Rayleigh-Ritz setting. However, the new scheme leads to a symmetric and positive definite algebraic system of equations. Moreover, the resulting method does not rely on certain subspaces satisfying the boundary conditions. The trial space for discretization is provided via standard kernels that reproduce the Sobolev spaces as their native spaces. The error analysis of the method is given, but it is partly subjected to an inverse inequality on the boundary which is still an open problem. The condition number of the final linear system is approximated in terms of the smoothness of the kernel and the discretization quality. Finally, the results of some computational experiments support the theoretical error bounds. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Computers & Mathematics with Applications is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.camwa.2021.10.019
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 11
        StartPage: 1
    Subjects:
      – SubjectFull: Elliptic differential equations
        Type: general
      – SubjectFull: Differential operators
        Type: general
      – SubjectFull: Sobolev spaces
        Type: general
      – SubjectFull: Algebraic equations
        Type: general
      – SubjectFull: Selfadjoint operators
        Type: general
      – SubjectFull: Rayleigh model
        Type: general
    Titles:
      – TitleFull: Error and stability estimates of a least-squares variational kernel-based method for second order elliptic PDEs.
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            NameFull: Seyednazari, Salar
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            NameFull: Tatari, Mehdi
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            NameFull: Mirzaei, Davoud
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          Dates:
            – D: 01
              M: 12
              Text: Dec2021
              Type: published
              Y: 2021
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              Value: 103
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            – TitleFull: Computers & Mathematics with Applications
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