A Comparative Study of Two Real Root Isolation Methods
Recent progress in polynomial elimination has rendered the computation of the real roots of ill-conditioned polynomials of high degree (over 1000) with huge coefficients (several thousand digits) a critical operation in computer algebra. To rise to the occasion, the only method-candidate that ha...
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doaj-9a367d750502458b8a0a1afd8c7307cb2020-11-25T02:39:58ZengVilnius University PressNonlinear Analysis1392-51132335-89632005-10-0110410.15388/NA.2005.10.4.15110A Comparative Study of Two Real Root Isolation MethodsA. G. Akritas0 A. W. Strzebonski1University of Thessaly, GreeceWolfram Research Inc., USA Recent progress in polynomial elimination has rendered the computation of the real roots of ill-conditioned polynomials of high degree (over 1000) with huge coefficients (several thousand digits) a critical operation in computer algebra. To rise to the occasion, the only method-candidate that has been considered by various authors for modification and improvement has been the Collins-Akritas bisection method [1], which is a based on a variation of Vincent’s theorem [2]. The most recent example is the paper by Rouillier and Zimmermann [3], where the authors present “... a new algorithm, which is optimal in terms of memory usage and as fast as both Collins and Akritas’ algorithm and Krandick variant ...” [3] In this paper we compare our own continued fractions method CF [4] (which is directly based on Vincent’s theorem) with the best bisection method REL described in [3]. Experimentation with the data presented in [3] showed that, with respect to time, our continued fractions method CF is by far superior to REL, whereas the two are about equal with respect to space. http://www.zurnalai.vu.lt/nonlinear-analysis/article/view/15110root isolationVincent’s theoremcontinued fractions methodbisection (or Collins-Akritas) method |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
A. G. Akritas A. W. Strzebonski |
spellingShingle |
A. G. Akritas A. W. Strzebonski A Comparative Study of Two Real Root Isolation Methods Nonlinear Analysis root isolation Vincent’s theorem continued fractions method bisection (or Collins-Akritas) method |
author_facet |
A. G. Akritas A. W. Strzebonski |
author_sort |
A. G. Akritas |
title |
A Comparative Study of Two Real Root Isolation Methods |
title_short |
A Comparative Study of Two Real Root Isolation Methods |
title_full |
A Comparative Study of Two Real Root Isolation Methods |
title_fullStr |
A Comparative Study of Two Real Root Isolation Methods |
title_full_unstemmed |
A Comparative Study of Two Real Root Isolation Methods |
title_sort |
comparative study of two real root isolation methods |
publisher |
Vilnius University Press |
series |
Nonlinear Analysis |
issn |
1392-5113 2335-8963 |
publishDate |
2005-10-01 |
description |
Recent progress in polynomial elimination has rendered the computation of the real roots of ill-conditioned polynomials of high degree (over 1000) with huge coefficients (several thousand digits) a critical operation in computer algebra.
To rise to the occasion, the only method-candidate that has been considered by various authors for modification and improvement has been the Collins-Akritas bisection method [1], which is a based on a variation of Vincent’s theorem [2].
The most recent example is the paper by Rouillier and Zimmermann [3], where the authors present “... a new algorithm, which is optimal in terms of memory usage and as fast as both Collins and Akritas’ algorithm and Krandick variant ...” [3]
In this paper we compare our own continued fractions method CF [4] (which is directly based on Vincent’s theorem) with the best bisection method REL described in [3]. Experimentation with the data presented in [3] showed that, with respect to time, our continued fractions method CF is by far superior to REL, whereas the two are about equal with respect to space.
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topic |
root isolation Vincent’s theorem continued fractions method bisection (or Collins-Akritas) method |
url |
http://www.zurnalai.vu.lt/nonlinear-analysis/article/view/15110 |
work_keys_str_mv |
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