New Practical Advances in Polynomial Root Clustering
New Practical Advances in Polynomial Root Clustering
复制标题
多项式根聚类的新实用进展
DOI:
10.1007/978-3-030-43120-4_11
复制
发表时间:
2019
期刊:
影响因子:
--
通讯作者:
Pan, V
中科院分区:
文献类型:
--
作者:
Imbach, R;Pan, V
We report an ongoing work on clustering algorithms for complex roots of a univariate polynomialpof degreedwith real or complex coefficients. As in their previous best subdivision algorithms our root-finders are robust even for multiple roots of a polynomial given by a black box for the approximation of its coefficients, and their complexity decreases at least proportionally to the number of roots in a region of interest (ROI) on the complex plane, such as a disc or a square, but we greatly strengthen the main ingredient of the previous algorithms. We build the foundation for a new counting test that essentially amounts to the evaluation of a polynomialpand its derivative, which is a major benefit, e.g., for sparse polynomialsp. Moreover with evaluation at aboutpoints (versus the previous record of orderd) we output correct number of roots in a disc whose contour has no roots ofpnearby. Our second and less significant contribution concerns subdivision algorithms for polynomials with real coefficients. Our tests demonstrate the power of the proposed algorithms.