Summary.
Graeffe iteration was the choice algorithm for solving univariate polynomials in the XIX-th and early XX-th century. In this paper, a new variation of Graeffe iteration is given, suitable to IEEE floating-point arithmetics of modern digital computers. We prove that under a certain generic assumption the proposed algorithm converges. We also estimate the error after N iterations and the running cost. The main ideas from which this algorithm is built are: classical Graeffe iteration and Newton Diagrams, changes of scale (renormalization), and replacement of a difference technique by a differentiation one. The algorithm was implemented successfully and a number of numerical experiments are displayed.
Similar content being viewed by others
Author information
Authors and Affiliations
Additional information
Received May 29, 1998 / Revised version received September 13, 1999 / Published online April 5, 2001
Rights and permissions
About this article
Cite this article
Malajovich, G., Zubelli, J. Tangent Graeffe iteration. Numer. Math. 89, 749–782 (2001). https://doi.org/10.1007/s002110100278
Issue Date:
DOI: https://doi.org/10.1007/s002110100278