Displacement Structure in Computing Approximate Gcd of Univariate Polynomials

نویسنده

  • LIHONG ZHI
چکیده

We propose a fast algorithm for computing approximate GCD of univariate polynomials with coefficients that are given only to a finite accuracy. The algorithm is based on a stabilized version of the generalized Schur algorithm for Sylvester matrix and its embedding. All computations can be done in O(n2) operations, where n is the sum of the degrees of polynomials. The stability of the algorithm is also discussed.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Computing Approximate GCD of Univariate Polynomials by Structure Total Least Norm

The problem of approximating the greatest common divisor(GCD) for polynomials with inexact coefficients can be formulated as a low rank approximation problem with Sylvester matrix. This paper presents a method based on Structured Total Least Norm(STLN) for constructing the nearest Sylvester matrix of given lower rank. We present algorithms for computing the nearest GCD and a certified 2-GCD for...

متن کامل

Certiied Approximate Univariate Gcds

We study the approximate GCD of two univariate polynomials given with limited accuracy or, equivalently, the exact GCD of the perturbed polynomials within some prescribed tolerance. A perturbed polynomial is regarded as a family of polynomials in a clas-siication space, which leads to an accurate analysis of the computation. Considering only the Sylvester matrix singular values, as is frequentl...

متن کامل

Structured Low Rank Approximation of a Sylvester Matrix

The task of determining the approximate greatest common divisor (GCD) of univariate polynomials with inexact coefficients can be formulated as computing for a given Sylvester matrix a new Sylvester matrix of lower rank whose entries are near the corresponding entries of that input matrix. We solve the approximate GCD problem by a new method based on structured total least norm (STLN) algorithms...

متن کامل

A fast algorithm for solving the Sylvester structured total least squares problem

In this paper, we develop a fast structured total least squares (STLS) algorithm for computing an approximate greatest common divisor (GCD) of two univariate polynomials. By exploiting the displacement structure of the Sylvester matrix and applying the generalized Schur algorithm, each single iteration of the proposed algorithm has quadratic computational complexity in the degrees of the given ...

متن کامل

Approximate GCD of Multivariate Polynomials

Given two polynomials F and G in R[x1, . . . , xn], we are going to find the nontrivial approximate GCD C and polynomials F , G ∈ R[x1, . . . , xn] such that ||F − CF ′|| < and ||G − CG′|| < , for some and some well defined norm. Many papers 1,2,3,5,8,10,11,13,15 have already discussed the problem in the case n = 1. Few of them 2,10,11 mentioned the case n > 1. Approximate GCD computation of un...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2003