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Very recent work introduces an asymptotically fast subdivision algorithm, denoted ANewDsc, for isolating the real roots of a univariate real polynomial. The method combines Descartes' Rule of Signs to test intervals for the existence of…

Mathematical Software · Computer Science 2016-05-03 Alexander Kobel , Fabrice Rouillier , Michael Sagraloff

We introduce a new approach to isolate the real roots of a square-free polynomial $F=\sum_{i=0}^n A_i x^i$ with real coefficients. It is assumed that each coefficient of $F$ can be approximated to any specified error bound. The presented…

Data Structures and Algorithms · Computer Science 2015-03-17 Michael Sagraloff

We describe a subdivision algorithm for isolating the complex roots of a polynomial $F\in\mathbb{C}[x]$. Given an oracle that provides approximations of each of the coefficients of $F$ to any absolute error bound and given an arbitrary…

Numerical Analysis · Computer Science 2016-11-09 Ruben Becker , Michael Sagraloff , Vikram Sharma , Chee Yap

Solving polynomials is a fundamental computational problem in mathematics. In the real setting, we can use Descartes' rule of signs to efficiently isolate the real roots of a square-free real polynomial. In this paper, we translate this…

Number Theory · Mathematics 2022-03-15 Josué Tonelli-Cueto

Isolating the real roots of univariate polynomials is a fundamental problem in symbolic computation and it is arguably one of the most important problems in computational mathematics. The problem has a long history decorated with numerous…

Computational Complexity · Computer Science 2022-09-28 Alperen A. Ergür , Josué Tonelli-Cueto , Elias Tsigaridas

We consider the problem of isolating the real roots of a square-free polynomial with integer coefficients using (variants of) the continued fraction algorithm (CF). We introduce a novel way to compute a lower bound on the positive real…

Symbolic Computation · Computer Science 2011-04-27 Elias Tsigaridas

We describe a subroutine that improves the running time of any subdivision algorithm for real root isolation. The subroutine first detects clusters of roots using a result of Ostrowski, and then uses Newton iteration to converge to them.…

Numerical Analysis · Computer Science 2015-02-02 Vikram Sharma , Prashant Batra

We introduce beyond-worst-case analysis into symbolic computation. This is an extensive field which almost entirely relies on worst-case bit complexity, and we start from a basic problem in the field: isolating the real roots of univariate…

Symbolic Computation · Computer Science 2025-06-06 Alperen A. Ergür , Josué Tonelli-Cueto , Elias Tsigaridas

Computing the roots of a univariate polynomial is a fundamental and long-studied problem of computational algebra with applications in mathematics, engineering, computer science, and the natural sciences. For isolating as well as for…

Symbolic Computation · Computer Science 2015-03-12 Michael Sagraloff , Kurt Mehlhorn

Real root finding of polynomial equations is a basic problem in computer algebra. This task is usually divided into two parts: isolation and refinement. In this paper, we propose two algorithms LZ1 and LZ2 to refine real roots of univariate…

Numerical Analysis · Computer Science 2012-11-20 Ye Liang

Univariate polynomial root-finding is a classical subject, still important for modern computing. Frequently one seeks just the real roots of a real coefficient polynomial. They can be approximated at a low computational cost if the…

Numerical Analysis · Mathematics 2015-06-16 Victor Y. Pan , Liang Zhao

We consider the problem of isolating the real roots of a square-free polynomial with integer coefficients using (variants of) the continued fraction algorithm (CF). We introduce a novel way to compute a lower bound on the positive real…

Symbolic Computation · Computer Science 2011-06-08 Elias Tsigaridas

This paper revisits an algorithm for isolating real roots of univariate polynomials based on continued fractions. It follows the work of Vincent, Uspen- sky, Collins and Akritas, Johnson and Krandick. We use some tricks, especially a new…

Symbolic Computation · Computer Science 2012-09-18 Liyun Dai , Bican Xia

We consider the problem of approximating all real roots of a square-free polynomial $f$. Given isolating intervals, our algorithm refines each of them to a width of $2^{-L}$ or less, that is, each of the roots is approximated to $L$ bits…

Symbolic Computation · Computer Science 2015-03-19 Michael Kerber , Michael Sagraloff

We present algorithmic, complexity and implementation results concerning real root isolation of integer univariate polynomials using the continued fraction expansion of real algebraic numbers. One motivation is to explain the method's good…

Symbolic Computation · Computer Science 2007-05-23 Elias P. Tsigaridas , Ioannis Z. Emiris

We present a new algorithm for refining a real interval containing a single real root: the new method combines characteristics of the classical Bisection algorithm and Newton's Iteration. Our method exhibits quadratic convergence when…

Numerical Analysis · Mathematics 2014-07-01 John Abbott

We propose an efficient algorithm to compute the real roots of a sparse polynomial $f\in\mathbb{R}[x]$ having $k$ non-zero real-valued coefficients. It is assumed that arbitrarily good approximations of the non-zero coefficients are given…

Symbolic Computation · Computer Science 2017-04-25 Gorav Jindal , Michael Sagraloff

We present an algorithm for isolating the roots of an arbitrary complex polynomial $p$ that also works for polynomials with multiple roots provided that the number $k$ of distinct roots is given as part of the input. It outputs $k$ pairwise…

Symbolic Computation · Computer Science 2014-01-24 Kurt Mehlhorn , Michael Sagraloff , Pengming Wang

A novel method with two variations is proposed with which the number of positive and negative zeros of a polynomial with real coefficients and degree $n$ can be restricted with significantly better determinacy than that provided by the…

General Mathematics · Mathematics 2021-06-11 Emil M. Prodanov

We present a new data structure to approximate accurately and efficiently a polynomial $f$ of degree $d$ given as a list of coefficients. Its properties allow us to improve the state-of-the-art bounds on the bit complexity for the problems…

Symbolic Computation · Computer Science 2021-11-30 Guillaume Moroz
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