Efficient ILU preconditioning and inexact-Newton-GMRES to solve the 2D steady shallow water equations.

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Title: Efficient ILU preconditioning and inexact-Newton-GMRES to solve the 2D steady shallow water equations.
Authors: Heniche, M.1 mourad_heniche@inrs-eau.uquebec.ca, Secretan, Y.1, Leclerc, M.1
Source: Communications in Numerical Methods in Engineering. Feb2001, Vol. 17 Issue 2, p69-75. 7p. 3 Charts, 4 Graphs.
Subjects: Factorization, Factorization of operators, Newton-Raphson method, Finite element method, Hydraulics, Fluid mechanics
Abstract: This paper presents a practical use of incomplete lower–upper factorization (ILU) preconditioning inexact-Newton-GMRES(m) for solving the steady shallow water equations. An efficient algorithm to store in a compact row format the ILU preconditioning matrix is proposed. Numerical experiments shows a linear variation of both CPU time and storage versus the matrix dimension until more than a million. Two examples are performed where the first one shows that an increment of solution norm based convergence is inaccurate. The second one reveal the importance of mesh numbering and unknowns ordering on convergence rate. An empirical criterion for choosing a good mesh numbering is also proposed. It is found that the Sloan numbering method enhances efficiency of the solver. Copyright © 2001 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
Copyright of Communications in Numerical Methods in Engineering is the property of Wiley-Blackwell 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: Efficient ILU preconditioning and inexact-Newton-GMRES to solve the 2D steady shallow water equations.
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  Data: <searchLink fieldCode="AR" term="%22Heniche%2C+M%2E%22">Heniche, M.</searchLink><relatesTo>1</relatesTo><i> mourad_heniche@inrs-eau.uquebec.ca</i><br /><searchLink fieldCode="AR" term="%22Secretan%2C+Y%2E%22">Secretan, Y.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Leclerc%2C+M%2E%22">Leclerc, M.</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Communications+in+Numerical+Methods+in+Engineering%22">Communications in Numerical Methods in Engineering</searchLink>. Feb2001, Vol. 17 Issue 2, p69-75. 7p. 3 Charts, 4 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Factorization%22">Factorization</searchLink><br /><searchLink fieldCode="DE" term="%22Factorization+of+operators%22">Factorization of operators</searchLink><br /><searchLink fieldCode="DE" term="%22Newton-Raphson+method%22">Newton-Raphson method</searchLink><br /><searchLink fieldCode="DE" term="%22Finite+element+method%22">Finite element method</searchLink><br /><searchLink fieldCode="DE" term="%22Hydraulics%22">Hydraulics</searchLink><br /><searchLink fieldCode="DE" term="%22Fluid+mechanics%22">Fluid mechanics</searchLink>
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  Data: This paper presents a practical use of incomplete lower–upper factorization (ILU) preconditioning inexact-Newton-GMRES(m) for solving the steady shallow water equations. An efficient algorithm to store in a compact row format the ILU preconditioning matrix is proposed. Numerical experiments shows a linear variation of both CPU time and storage versus the matrix dimension until more than a million. Two examples are performed where the first one shows that an increment of solution norm based convergence is inaccurate. The second one reveal the importance of mesh numbering and unknowns ordering on convergence rate. An empirical criterion for choosing a good mesh numbering is also proposed. It is found that the Sloan numbering method enhances efficiency of the solver. Copyright © 2001 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Communications in Numerical Methods in Engineering is the property of Wiley-Blackwell 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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        Value: 10.1002/1099-0887(200102)17:2<69::AID-CNM388>3.0.CO;2-A
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      – Code: eng
        Text: English
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      – SubjectFull: Factorization
        Type: general
      – SubjectFull: Factorization of operators
        Type: general
      – SubjectFull: Newton-Raphson method
        Type: general
      – SubjectFull: Finite element method
        Type: general
      – SubjectFull: Hydraulics
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      – SubjectFull: Fluid mechanics
        Type: general
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      – TitleFull: Efficient ILU preconditioning and inexact-Newton-GMRES to solve the 2D steady shallow water equations.
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              M: 02
              Text: Feb2001
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              Y: 2001
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            – TitleFull: Communications in Numerical Methods in Engineering
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