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Two-Dimensional Interpolation of Functions with Large Gradients in Boundary Layers

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Numerical Analysis and Its Applications (NAA 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10187))

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Abstract

Question of two-dimensional interpolation of functions with large gradients in the boundary layers is considered. The problem is that an application of polynomial interpolation on an uniform mesh to functions with large gradients leads to significant errors. We consider two approaches for increase of accuracy of interpolation: a fitting of the interpolation formula to a boundary layer component and the application of polynomial interpolation on Shishkin mesh. Numerical results are discussed.

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References

  1. Zadorin, A.I.: Method of interpolation for a boundary layer problem. Sib. J. Numer. Math. 10(3), 267–275 (2007). (in Russian)

    MATH  Google Scholar 

  2. Zadorin, A.I., Zadorin, N.A.: Interpolation of functions with boundary layer components and its application to the two-grid method. Sib. Elektron. Math. Rep. 8, 247–267 (2011). (in Russian)

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  3. Shishkin, G.I.: Grid Approximations of Singular Perturbation Elliptic and Parabolic Equations. UB RAS, Yekaterinburg (1992). (in Russian)

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  4. Roos, H.-G., Stynes, M., Tobiska, L.: Numerical Methods for Singularly Perturbed Differential Equations. Convection-Diffusion and Flow Problems, vol. 24. Springer, Berlin (2008)

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  5. Zadorin, A.I., Zadorin, N.A.: Interpolation formula for functions with a boundary layer component and its application to derivatives calculation. Siberian Electron. Math. Rep. 9, 445–455 (2012)

    MathSciNet  MATH  Google Scholar 

  6. Bakhvalov, N.S.: Numerical Methods. Nauka, Moskow (1975). (in Russian)

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  7. Vulkov, L.G., Zadorin, A.I.: Two-grid algorithms for the solution of 2D semilinear singularly perturbed convection-diffusion equations using an exponential finite difference scheme. In: American Institute of Physics Conference Proceedings, vol. 1186, pp. 371–379 (2009)

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  8. Zadorin, A.I.: Interpolation of a function of two variables with large gradients in boundary layers. Lobachevskii J. Math. 37(3), 349–359 (2016)

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  9. Lins, T., Stynes, M.: Asymptotic analysis and Shishkin-type decomposition for an elliptic convection-diffusion problem. J. Math. Anal. Appl. 261, 604–632 (2001)

    Article  MathSciNet  MATH  Google Scholar 

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Acknowledgements

Supported in part by Russian Foundation for Basic Research under Grants 15-01-06584, 16-01-00727.

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Correspondence to Alexander Zadorin .

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Zadorin, A. (2017). Two-Dimensional Interpolation of Functions with Large Gradients in Boundary Layers. In: Dimov, I., Faragó, I., Vulkov, L. (eds) Numerical Analysis and Its Applications. NAA 2016. Lecture Notes in Computer Science(), vol 10187. Springer, Cham. https://doi.org/10.1007/978-3-319-57099-0_88

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  • DOI: https://doi.org/10.1007/978-3-319-57099-0_88

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57098-3

  • Online ISBN: 978-3-319-57099-0

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