Skip to main content
Log in

The Newton differential correction algorithm for rational Chebyshev approximation with constrained denominators

  • Published:
Numerical Algorithms Aims and scope Submit manuscript

Abstract

An algorithm for constrained rational Chebyshev approximation is introduced that combines the idea of an algorithm due to Hettich and Zencke, for which superlinear convergence is guaranteed, with the auxiliary problem used in the well-known original differential correction method. Superlinear convergence of the algorithm is proved. Numerical examples illustrate the fast convergence of the method and its advantages compared with the algorithm of Hettich and Zencke.

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. I. Barrodale, M. J. D. Powell and F. D. K. Roberts, The differential correction algorithm for rationall approximation, SIAM J. Numer. Anal. 9 (1972) 493–504.

    Google Scholar 

  2. E. W. Cheney,Introduction to Approximation Theory (McGraw-Hill, 1966).

  3. E. W. Cheney and H. L. Loeb, Two new algorithms for rational approximation, Numer. Math. 3 (1961) 72–75.

    Google Scholar 

  4. E. W. Cheney and M. J. D. Powell The differential correction algorithm for generalized rational functions, Constr. Approx. 3 (1987) 249–256.

    Google Scholar 

  5. C. Dunham, Chebyshev approximation by rationals with constrained denominators, J. Approx. Theory 37 (1983) 5–11.

    Google Scholar 

  6. M. Gugat, Fractional semi-infinite programming, Dissertation, Universität Trier (1994).

  7. M. Gugat, One-sided derivatives for the value function in convex parametric programming, Optimization 28 (1994) 301–314.

    Google Scholar 

  8. M. Gugat, An algorithm for Chebyshev approximation by rationals with constrained denominators, Constr. Approx. 12 (1996) 197–222.

    Google Scholar 

  9. R. Hettich and M. Gugat, Optimization under functional constraints and applications, in:Modern Methods of Optimization, Proc. Bayreuth 1990, Lecture Notes in Economics and Mathematical Systems 378 (Springer, 1990) pp. 90–126.

  10. R. Hettich and P. Zencke, An algorithm for general restricted rational Chebyshev approximation, SIAM J. Numer. Anal 27 (1990) 1024–1033.

    Google Scholar 

  11. E. H. Kaufmann and G. D. Taylor, Uniform approximation by rational functions having restricted denominators, J. Approx. Theory 32 (1981) 9–26.

    Google Scholar 

  12. P. Zencke and R. Hettich, Directional derivatives for the value function in semi-infinite programming, Math. Programming 38 (1987) 323–340.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

Communicated by M. H. Gutknecht

Rights and permissions

Reprints and permissions

About this article

Cite this article

Gugat, M. The Newton differential correction algorithm for rational Chebyshev approximation with constrained denominators. Numer Algor 13, 107–122 (1996). https://doi.org/10.1007/BF02143129

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02143129

Keywords

AMS subject classification

Navigation