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Numerical Experiments for Reaction-Diffusion Equations Using Exponential Integrators

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5434))

Abstract

In this study we focus on a comparative numerical approach of two reaction-diffusion models arising in biochemistry by using exponential integrators. The goal of exponential integrators is to treat exactly the linear part of the differential model and allow the remaining part of the integration to be integrated numerically using an explicit scheme. Numerical simulations including both the global error as a function of time step and error as a function of computational time are shown.

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References

  1. Berland, H., Skaflestad, B., Wright, W.: EXPINT – A Matlab package for exponential integrators. Numerics 4 (2005)

    Google Scholar 

  2. Butcher, J.C.: Numerical methods for ordinary differential equations. John Wiley & Sons, Chichester (2003)

    Book  MATH  Google Scholar 

  3. Celledoni, E., Marthinsen, A., Owren, B.: Commutator-free Lie group methods. FGCS 19(3), 341–352 (2003)

    Article  Google Scholar 

  4. Cox, S.M., Matthews, P.C.: Exponential time differencing for stiff systems. J. Comp. Phys. 176(2), 430–455 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  5. Gierer, A., Meinhardt, H.: A theory of biological pattern formation. Kybernetik 12, 30–39 (1972)

    Article  MATH  Google Scholar 

  6. Krogstad, S.: Generalized integrating factor methods for stiff PDEs. Journal of Computational Physics 203(1), 72–88 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  7. Lawson, D.J.: Generalized Runge-Kutta processes for stable systems with large Lipschitz constants. SIAM J. Numer. Anal. 4, 372–380 (1967)

    Article  MathSciNet  MATH  Google Scholar 

  8. Minchev, B., Wright, W.M.: A review of exponential integrators for semilinear problems. Technical Report 2, The Norwegian University of Science and Technology (2005)

    Google Scholar 

  9. Munthe-Kaas, H.: High order Runge-Kutta methods on manifolds. Applied Numerical Mathematics 29, 115–127 (1999)

    Article  MathSciNet  MATH  Google Scholar 

  10. Murray, J.D.: Mathematical Biology, 2nd edn. Springer, New York (1993)

    Book  MATH  Google Scholar 

  11. Nørsett, S.P.: An A-stable modification of the Adams-Bashforth methods. In: Conf. on Numerical solution of Differential Equations (Dundee, 1969), pp. 214–219. Springer, Berlin (1969)

    Chapter  Google Scholar 

  12. Thomas, D.: Artificial enzyme membrane, transport, memory and oscillatory phenomena. In: Thomas, D., Kervenez, J.-P. (eds.) Analysis and Control of Immobilised Enzyme Systems, pp. 115–150. Springer, Heidelberg (1975)

    Google Scholar 

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Dimitriu, G., Ştefănescu, R. (2009). Numerical Experiments for Reaction-Diffusion Equations Using Exponential Integrators. In: Margenov, S., Vulkov, L.G., Waśniewski, J. (eds) Numerical Analysis and Its Applications. NAA 2008. Lecture Notes in Computer Science, vol 5434. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00464-3_26

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  • DOI: https://doi.org/10.1007/978-3-642-00464-3_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00463-6

  • Online ISBN: 978-3-642-00464-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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