ADAPTIVE DEFECT-CORRECTION METHODS FOR VISCOUS INCOMPRESSIBLE FLOW PROBLEMS.

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Title: ADAPTIVE DEFECT-CORRECTION METHODS FOR VISCOUS INCOMPRESSIBLE FLOW PROBLEMS.
Authors: Ervint, V. J.1 ervin@math.clemson.edu, Laytont, W. J.2 wj1+@pitt.edu, Maubacht, J. M.2 wj1+@pitt.edu
Source: SIAM Journal on Numerical Analysis. 2000, Vol. 37 Issue 4, p1165-1185. 21p.
Subjects: Defect correction methods (Numerical analysis), Numerical analysis, Approximation theory, Reynolds number, Viscous flow, Error analysis in mathematics
Abstract: We consider a defect correction method (DCM) which has been used extensively in applications where solutions have sharp transition regions, such as high Reynolds number fluid flow problems. A reliable a posteriori error estimator is derived for a defect correction method. The estimator is further studied for two examples: (a) the case of a linear-diffusion, nonlinear convection-reaction equation, and (b) the nonlinear Navier-Stokes equations. Numerical experiments are provided which illustrate the utility of the resulting adaptive defect correction method for high Reynolds number, incompressible, viscous flow problems. [ABSTRACT FROM AUTHOR]
Copyright of SIAM Journal on Numerical Analysis is the property of Society for Industrial & Applied Mathematics 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: <searchLink fieldCode="DE" term="%22Defect+correction+methods+%28Numerical+analysis%29%22">Defect correction methods (Numerical analysis)</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+analysis%22">Numerical analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Approximation+theory%22">Approximation theory</searchLink><br /><searchLink fieldCode="DE" term="%22Reynolds+number%22">Reynolds number</searchLink><br /><searchLink fieldCode="DE" term="%22Viscous+flow%22">Viscous flow</searchLink><br /><searchLink fieldCode="DE" term="%22Error+analysis+in+mathematics%22">Error analysis in mathematics</searchLink>
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  Data: We consider a defect correction method (DCM) which has been used extensively in applications where solutions have sharp transition regions, such as high Reynolds number fluid flow problems. A reliable a posteriori error estimator is derived for a defect correction method. The estimator is further studied for two examples: (a) the case of a linear-diffusion, nonlinear convection-reaction equation, and (b) the nonlinear Navier-Stokes equations. Numerical experiments are provided which illustrate the utility of the resulting adaptive defect correction method for high Reynolds number, incompressible, viscous flow problems. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of SIAM Journal on Numerical Analysis is the property of Society for Industrial & Applied Mathematics 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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        Text: English
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      – SubjectFull: Numerical analysis
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      – SubjectFull: Approximation theory
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      – SubjectFull: Reynolds number
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      – SubjectFull: Viscous flow
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      – SubjectFull: Error analysis in mathematics
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      – TitleFull: ADAPTIVE DEFECT-CORRECTION METHODS FOR VISCOUS INCOMPRESSIBLE FLOW PROBLEMS.
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              Text: 2000
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