The nearest polynomial to multiple given polynomials with a given zero

Hiroshi Sekigawa
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引用次数: 4

Abstract

The following type of problems have been well-studied in the area of symbolic-numeric computation for about twenty years: Given a polynomial f ∈ C[x] and a point z ∈ C, find the nearest polynomial f̃ ∈ C[x] to f with f̃(z) = 0. A common framework for such problems is described in [7]. In previous works, for example [3, 4, 7, 6], problems for one given polynomial were considered. Here, we consider a problem for multiple given polynomials. Through observation or by using different numerical algorithms for a given input data, we may obtain multiple polynomials being equal in theory but being slightly different each other. Thus, it is worth considering the problem for multiple polynomials. In this abstract, after the preliminaries, we define the nearest polynomial to multiple given polynomials. In the definition, we use a pair of norms to measure the nearness between polynomials. We remark the difficulty of the problem of finding the nearest polynomial depends on the norm pair. Finally, we describe an algorithm for the problem when both of the norms are the ∞-norm.
与多个给定多项式最接近的多项式,且多项式为给定零
以下类型的问题在符号数值计算领域已经研究了大约二十年:给定一个多项式f∈C[x]和一个点z∈C,找出f∈C[x]与f最近的多项式f∈C[x],且f∈(z) = 0。[7]中描述了此类问题的通用框架。在以前的工作中,例如[3,4,7,6],只考虑一个给定多项式的问题。这里,我们考虑一个多重给定多项式的问题。通过观察或对给定的输入数据使用不同的数值算法,我们可以得到理论上相等但彼此略有不同的多个多项式。因此,多多项式问题是值得考虑的。在这个摘要中,经过初步的讨论,我们定义了与多个给定多项式最接近的多项式。在定义中,我们使用一对范数来度量多项式之间的接近度。我们注意到找到最近多项式问题的难度取决于范数对。最后,给出了两个范数均为∞范数时的一种算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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