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Efficient Application of the Two-Grid Technique for Solving Time-Fractional Non-linear Parabolic Problem

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Finite Difference Methods,Theory and Applications (FDM 2014)

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Abstract

In this paper we present numerical methods for solving a non-linear time-fractional parabolic model. To cope with non-local in time nature of the problem, we exploit the idea of the two-grid method and develop fast numerical algorithms. Moreover, we show that suitable modifications of the standard two-grid technique lead to significant reduction of the computational time. Numerical results are also discussed.

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References

  1. Axelsson, O.: On mesh independence and Newton methods. Appl. Math. 38(4–5), 249–265 (1993)

    MATH  MathSciNet  Google Scholar 

  2. Bear, J.: Dynamics of Fluids in Porous Media. American Elsevier, New York (1972)

    MATH  Google Scholar 

  3. Cui, M.: Convergence analysis of high-order compact alternating direction implicit schemes for the two-dimensional time fractional diffusion equation. Numer. Algor. 62(3), 383–409 (2013)

    Article  MATH  Google Scholar 

  4. El-Sayed, A.M.A., Rida, S.Z., Arafa, A.A.M.: Exact solutions of fractional-order biological population model. Commun. Theor. Phys. 52, 992–996 (2009)

    Article  MathSciNet  Google Scholar 

  5. Hilfer, R.: Applications of Fractional Calculus in Physics. World Scientific, Singapore (2000)

    Book  MATH  Google Scholar 

  6. Gurtin, M.E., Maccamy, R.C.: On the diffusion of biological population. Math. Biosci. 33, 35–49 (1977)

    Article  MATH  MathSciNet  Google Scholar 

  7. Ishimura, N., Koleva, M.N., Vulkov, L.G.: Numerical solution via transformation methods of nonlinear models in option pricing. Am. Inst. Phys. CP 1301, 387–394 (2010)

    Google Scholar 

  8. Jiang, X.Y., Xu, M.Y.: Analysis of fractional anomalous diffusion caused by an instantaneous point source in disordered fractal media. Int. J. Nonlinear Mech. 41, 156–165 (2006)

    Article  Google Scholar 

  9. Jin, J., Shu, S., Xu, J.: A two-grid discretization method for decoupling systems of partial differential equations. Math. Comput. 75, 1617–1626 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  10. Koçak, H., Yildirim, A.: An efficient new iterative method for finding exact solutions of nonlinear time-fractional partial differential equations. Nonlinear Anal. Model. Control 16(4), 403–414 (2011)

    MATH  MathSciNet  Google Scholar 

  11. Koleva, M.N., Vulkov, L.G.: A two-grid approximation of an interface problem for the nonlinear Poisson-Boltzmann equation. In: Margenov, S., Vulkov, L.G., Waśniewski, J. (eds.) NAA 2008. LNCS, vol. 5434, pp. 369–376. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  12. Koleva, M.N., Vulkov, L.G.: Two-grid quasilinearization approach to ODEs with applications to model problems in physics and mechanics. Comput. Phys. Commun. 181, 663–670 (2010)

    Article  MATH  MathSciNet  Google Scholar 

  13. Liu, Y., Li, Z., Zhang, Y.: Homotopy perturbation method to fractional biological population equation. Fract. Diff. Calc. 1, 117–124 (2011)

    Article  MathSciNet  Google Scholar 

  14. Lu, Y.G.: Hölder estimates of solutions of biological population equations. Appl. Math. Lett. 13, 123–126 (2000)

    Article  MATH  Google Scholar 

  15. Metzler, R., Klafter, J.: The random walks guide to anomalous diffusion: a fractional dynamics approach. Phys. Rep. 339, 1–77 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  16. Okubo, A.: Diffusion and Ecological Problem: Mathematical Models. Biomathematics 10. Springer, Berlin (1980)

    Google Scholar 

  17. Patlashenko, I., Givoli, D., Barbone, P.: Time-stepping schemes for systems of Volterra integrodifferential equations. Comput. Methods Appl. Mech. Eng. 190, 5691–5718 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  18. Roul, P.: Application of homotopy perturbation method to biological population model. Appl. Appl. Math. 5(10), 1369–1378 (2010)

    MATH  MathSciNet  Google Scholar 

  19. Wang, P., Zheng, C., Gorelick, S.: A general approach to advective-dispersive transport with multirate mass transfer. Adv. Water. Res. 28, 33–42 (2005)

    Article  Google Scholar 

  20. Xu, J.: A novel two-grid method for semilinear elliptic equations. SIAM J. Sci. Comput. 15(1), 231–237 (1994)

    Article  MATH  MathSciNet  Google Scholar 

  21. Xu, J.: Two-grid discretization techniques for linear and nonlinear PDEs. SIAM J. Numer. Anal. 33, 1759–1777 (1996)

    Article  MATH  MathSciNet  Google Scholar 

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Acknowledgement

This research is supported by the Bulgarian National Fund of Science under the Project I02/20 - 2014.

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Correspondence to Miglena N. Koleva .

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Koleva, M.N. (2015). Efficient Application of the Two-Grid Technique for Solving Time-Fractional Non-linear Parabolic Problem. In: Dimov, I., Faragó, I., Vulkov, L. (eds) Finite Difference Methods,Theory and Applications. FDM 2014. Lecture Notes in Computer Science(), vol 9045. Springer, Cham. https://doi.org/10.1007/978-3-319-20239-6_27

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  • DOI: https://doi.org/10.1007/978-3-319-20239-6_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20238-9

  • Online ISBN: 978-3-319-20239-6

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