Abstract

A method to approximate derivatives of real functions using complex variables which avoids the subtractive cancellation errors inherent in the classical derivative approximations is described. Numerical examples illustrating the power of the approximation are presented.

MSC codes

  1. 65D25
  2. 30E10
  3. 65-04

Keywords

  1. divided difference
  2. subtractive cancellation

Get full access to this article

View all available purchase options and get full access to this article.

References

1.
Patrick Brezillon, Jean‐François Staub, Anne‐Marie Perault‐Staub, Gérard Milhaud, Numerical estimation of the first order derivative: approximate evaluation of an optimal step, Comput. Math. Appl., 7 (1981), 333–347
2.
J. Lyness, C. Moler, Numerical differentiation of analytic functions, SIAM J. Numer. Anal., 4 (1967), 202–210
3.
J. N. Lyness, Numerical algorithms based on the theory of complex variables, Proc. ACM 22nd Nat. Conf., Thompson Book Co., Washington, DC, 1967, pp. 124–134.
4.
J. N. Lyness and G. Sande, Algorithm 413‐ENTCAF and ENTCRE: Evaluation of normalized Taylor coefficients of an analytic function, Comm. ACM 14, 10 (1971), pp. 669–675.
5.
R. Stepleman, N. Winarsky, Adaptive numerical differentiation, Math. Comp., 33 (1979), 1257–1264

Information & Authors

Information

Published In

cover image SIAM Review
SIAM Review
Pages: 110 - 112
ISSN (online): 1095-7200

History

Published online: 4 August 2006

MSC codes

  1. 65D25
  2. 30E10
  3. 65-04

Keywords

  1. divided difference
  2. subtractive cancellation

Authors

Affiliations

Metrics & Citations

Metrics

Citations

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited By

View Options

View options

PDF

View PDF

Figures

Tables

Media

Share

Share

Copy the content Link

Share with email

Email a colleague

Share on social media