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Smoothing effects on the IMR and ITR

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Abstract

This paper is a study of the effects of smoothing on the implicit midpoint rule (IMR) and the implicit trapezoidal rule (ITR) with implications for extrapolation of the numerical solution of ordinary differential equations. We extend the study of the well-known smoothing formula of Gragg to a two-step smoothing formula and compare the effectiveness of their use with the IMR and ITR for nonstiff and strongly stiff cases. We present an analysis of the Prothero-Robinson problem and as well as experimental results on linear and nonlinear problems.

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References

  1. Bader, G., Deuflhard, P.: A semi-implicit mid-point rule for stiff systems of ordinary differential equations. Numer. Math. 41, 373–398 (1983)

    Article  MATH  MathSciNet  Google Scholar 

  2. Bulirsch, R., Stoer, J.: Numerical treatment of ordinary differential equations by extrapolation method. Numer. Math. 8, 1–13 (1966)

    Article  MATH  MathSciNet  Google Scholar 

  3. Burrage, K., Chan, R.P.K.: On smoothing and order reduction effects for implicit Runge-Kutta formulae. J. Comput. Appl. Math. 45, 17–27 (1993)

    Article  MATH  MathSciNet  Google Scholar 

  4. Chan, R.P.K.: Extrapolation of Runge–Kutta methods for stiff initial value problems. Thesis submitted for the degree of Doctor of Philosophy at the University of Auckland (1989)

  5. Chan, R.P.K.: A-stability of implicit Runge–Kutta extrapolations. Appl. Numer. Math. 22, 179–203 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  6. Chan, R.P.K., Gorgey, A.: Active and passive symmetrization of Runge–Kutta Gauss methods. Appl. Numer. Math. 67, 64–77 (2013). doi:10.1016/j.apnum.2011.06.013

    Google Scholar 

  7. Deuflhard, P.: Recent progress in extrapolation methods for ordinary differential equations. SIAM Rev. 27, 505–535 (1985)

    Article  MATH  MathSciNet  Google Scholar 

  8. Dahlquist, G., Lindberg, B.: On some implicit one-step methods for stiff differential equations. Department of Information Processing, Royale, Institute Technical, Stockholm. Report TRITA-NA-7302 (1973)

  9. Gorgey, A.: Extrapolation of symmetrized Runge-Kutta methods. Thesis submitted for the degree of Doctor of Philosophy at the University of Auckland (2012)

  10. Gragg, W.B.: On extrapolation algorithm for ordinary initial value problems. SIAM J. Numer. Anal. 2, 384–403 (1965)

    MATH  MathSciNet  Google Scholar 

  11. Hairer, E., Wanner, G.: Solving ordinary differential equations, II. Stiff and differential-algebraic problems, Springer series in computational mathematics, vol. 14, Springer-Verlag, Berlin (1991)

  12. Lindberg, B.: On the smoothing and extrapolation for the trapezoidal rule. BIT 11, 29–52 (1971)

    Article  MATH  MathSciNet  Google Scholar 

  13. Prothero, A., Robinson, A.: On the stability and accuracy of one-step methods for solving stiff systems of ordinary differential equations. Math. Comput. 28, 145–162 (1974)

    Article  MathSciNet  Google Scholar 

  14. Stetter, H.J.: Analysis of discretization methods for ordinary differential equations. Springer-Verlag, Berlin (1973)

    Book  MATH  Google Scholar 

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Correspondence to N. Razali.

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Chan, R.P.K., Razali, N. Smoothing effects on the IMR and ITR. Numer Algor 65, 401–420 (2014). https://doi.org/10.1007/s11075-013-9779-7

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  • DOI: https://doi.org/10.1007/s11075-013-9779-7

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