Skip to main content
Log in

Smoothing the extrapolated midpoint rule

  • The Uniform Stability of Singularly Perturbed Discrete and Continuous Boundary Value Problems
  • Published:
Numerische Mathematik Aims and scope Submit manuscript

Summary

The extrapolated midpoint rule is a popular way to solve the initial value problem for a system of ordinary differential equations. As originally formulated by Gragg, the results are smoothed to remove the weak instability of the midpoint rule. It is shown that this smoothing is not necessary. A cheaper smoothing scheme is proposed. A way to exploit smoothing to increase the robustness of extrapolation codes is formulated.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Bader, G., Deuflhard, P.: A semi-implicit mid-point rule for stiff systems of ordinary differential equations. Preprint Nr. 114. University of Heidelberg, 1981

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

    Google Scholar 

  3. Deuflhard, P.: Order and stepsize control in extrapolation methods. Numer. Math. (to appear)

  4. Gragg, W.B.: Repeated extrapolation to the limit in the numerical solution of ordinary differential equations. Thesis, University of California at Los Angeles, 1964

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

    Google Scholar 

  6. Hussels, H.G.: Schrittweitensteuerung bei der Integration gewöhnlicher Differentialgleichungen mit Extrapolationsverfahren. Diplomarbeit Universität Köln, Math. Inst. 1973

  7. Milne, W.E., Reynolds, R.R.: Stability of a numerical solution of differential equations. J. ACM6, 196–203 (1959) and7, 45–56 (1960)

    Google Scholar 

  8. Shampine, L.F.: Limiting precision in differential equation solvers. Math. Comput.28, 141–144 (1974)

    Google Scholar 

  9. Shampine, L.F.: Implementation of Rosenbrock codes. ACM Trans. Math. Software8, 93–113 (1982)

    Google Scholar 

  10. Shampine, L.F.: Type-insensitive ODE codes based on extrapolation methods. SIAM J. Sci. Stat. Comput. (to appear)

  11. Shampine, L.F., Baca, L.S.: Should the extrapolated midpoint rule be smoothed? Report SAND 82-0317. Sandia National Laboratories, Albuquerque, NM, 1982

    Google Scholar 

  12. Shampine, L.F., Watts, H.A., Davenport, S.M.: Solving nonstiff ordinary differential equations — the state of the art. SIAM Rev.18, 376–411 (1976)

    Google Scholar 

  13. Stoer, J.: Extrapolation methods for the solution of initial value problems and their practical realization, pp. 1–21. In: Proc. Conf. on Numer. Soln of Ordinary Differential Equations, University of Texas at Austin. Nr. 362 in Lecture Notes in Math. Berlin, Heidelberg, New York: Springer, 1974

    Google Scholar 

  14. Stoer, J., Bulirsch, R.: Introduction to numerical analysis. Berlin, Heidelberg, New York: Springer, 1980

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Shampine, L.F., Baca, L.S. Smoothing the extrapolated midpoint rule. Numer. Math. 41, 165–175 (1983). https://doi.org/10.1007/BF01390211

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01390211

Subject Classifications

Navigation