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Theory of implicit extrapolation methods for ordinary differential equations

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Numerical Mathematics and Advanced Applications
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Summary

In this paper we develop a general theory of implicit extrapolation methods for ordinary differential equations. We demonstrate how to implement such methods in practice. We first consider the common principles of constructing extrapolation methods. After that we discuss implicit extrapolation methods. Then we derive quadratic extrapolation for implicit one-step methods possessing a quadratic asymptotic expansion of the global error Finally, we present a brief outline of a theory of minimally implicit methods that extends the concept of linearly implicit methods to arbitiary iterative methods. In addition, the paper gives numerical examples which clearly confirm all theoretical results.

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References

  1. Hairer, E., Nørsett, S.R., Wanner, G. (1987): Solving ordinary differential equations. I. Nonstiff problems. Springer, Berlin

    MATH  Google Scholar 

  2. Hairer, E., Wanner, G. (1996): Solving ordinary differential equations. II Stiff and differential-algebraic problems. Springer, Berlin

    MATH  Google Scholar 

  3. Kulikov, G.Yu. (1998): Numerical solution of the Cauchy problem for a system of differential-algebraic equations with the use of implicit Runge-Kutta methods with a nontrivial predictor (Russian) Zh. Vychisl. Mat. Mat. Fiz. 38, 68–84; translation in Comput. Math. Math. Phys. 38, 64–80

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  4. Kulikov, G.Yu. (1998) Asymptotic error estimates for the method of simple iterations and for the modified and generalized Newton methods. (Russian) Mat. Zametki 63, 562–571; transladon in Math. Notes 63, 494–502

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  5. Kulikov, G.Yu. (1998): Revision of the theory of symmetric one-step methods for ordinary differential equations. Korean J. Comput. Appl. Math. 5, 579–600

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  6. Kulikov, G.Yu. (2002): On implicit extrapolation methods for ordinary differential equations. Russian J. Numer. Anal. Math. Modelling 17, 41–69

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  7. Kulikov, G.Yu. (2003): Symmetric Runge-Kutta methods and their stability. Russian J. Numer. Anal. Math. Modelling, to appear

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  8. Kulikov, G.Yu. (2003): On stability of symmetric Runge-Kutta formulas. (Russian) Dokl. Akad. Nauk, to appear

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  9. Ortega, J.M., Rheinboldt, W.C. (1970): Iterative solution of nonlinear equations in several variables. Academic Press, New York

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© 2003 Springer-Verlag Italia

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Kulikov, G.Y. (2003). Theory of implicit extrapolation methods for ordinary differential equations. In: Brezzi, F., Buffa, A., Corsaro, S., Murli, A. (eds) Numerical Mathematics and Advanced Applications. Springer, Milano. https://doi.org/10.1007/978-88-470-2089-4_82

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  • DOI: https://doi.org/10.1007/978-88-470-2089-4_82

  • Publisher Name: Springer, Milano

  • Print ISBN: 978-88-470-2167-9

  • Online ISBN: 978-88-470-2089-4

  • eBook Packages: Springer Book Archive

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