Title
Complexity Analysis of Root Clustering for a Complex Polynomial.
Abstract
Let F(z) be an arbitrary complex polynomial. We introduce the {local root clustering problem}, to compute a set of natural epsilon-clusters of roots of F(z) in some box region B0 in the complex plane. This may be viewed as an extension of the classical root isolation problem. Our contribution is two-fold: we provide an efficient certified subdivision algorithm for this problem, and we provide a bit-complexity analysis based on the local geometry of the root clusters. Our computational model assumes that arbitrarily good approximations of the coefficients of F(z) are provided by means of an oracle at the cost of reading the coefficients. Our algorithmic techniques come from a companion paper [3] and are based on the Pellet test, Graeffe and Newton iterations, and are independent of Schonhage's splitting circle method. Our algorithm is relatively simple and promises to be efficient in practice.
Year
DOI
Venue
2016
10.1145/2930889.2930939
ISSAC
Field
DocType
Citations 
Discrete mathematics,Combinatorics,Polynomial,Oracle,Complex plane,Splitting circle method,Root-finding algorithm,Cluster analysis,Mathematics,Newton's method,Complex conjugate root theorem
Conference
8
PageRank 
References 
Authors
0.64
18
5
Name
Order
Citations
PageRank
Ruben Becker1315.27
Michael Sagraloff233922.61
Vikram Sharma322920.35
Juan Xu480.64
Chee-Keng Yap51996395.32