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Some near-optimal polynomial root-finders of 2024-25, based on subdivision iterations, approximate all complex roots of a polynomial or all roots in a fixed Region of Interest in the complex plane. The iterations can be applied to a black…

Numerical Analysis · Mathematics 2026-05-29 Victor Y. Pan

Evaluating or finding the roots of a polynomial $f(z) = f_0 + \cdots + f_d z^d$ with floating-point number coefficients is a ubiquitous problem. By using a piecewise approximation of $f$ obtained with a careful use of the Newton polygon of…

Symbolic Computation · Computer Science 2023-02-14 Rémi Imbach , Guillaume Moroz

We consider the sequence of polynomials $W_n(x)$ defined by the recursion $W_n(x)=(ax+b)W_{n-1}(x)+dW_{n-2}(x)$, with initial values $W_0(x)=1$ and $W_1(x)=t(x-r)$, where $a,b,d,t,r$ are real numbers, $a,t>0$, and $d<0$. We show that every…

Classical Analysis and ODEs · Mathematics 2015-03-19 J. L. Gross , T. Mansour , T. W. Tucker , D. G. L. Wang

In this paper, we study the root distribution of some univariate polynomials $W_n(z)$ satisfying a recurrence of order two with linear polynomial coefficients over positive numbers. We discover a sufficient and necessary condition for the…

Combinatorics · Mathematics 2017-12-19 David G. L. Wang , Jiarui Zhang

We present a practical implementation based on Newton's method to find all roots of several families of complex polynomials of degrees exceeding one billion ($10^9$) so that the observed complexity to find all roots is between $O(d\ln d)$…

Numerical Analysis · Mathematics 2023-08-09 Marvin Randig , Dierk Schleicher , Robin Stoll

In large-scale applications, such as machine learning, it is desirable to design non-convex optimization algorithms with a high degree of parallelization. In this work, we study the adaptive complexity of finding a stationary point, which…

Optimization and Control · Mathematics 2025-05-15 Huanjian Zhou , Andi Han , Akiko Takeda , Masashi Sugiyama

We study Hermitian non-commutative quadratic polynomials of multiple independent Wigner matrices. We prove that, with the exception of some specific reducible cases, the limiting spectral density of the polynomials always has a square root…

Probability · Mathematics 2023-09-01 Jacob Fronk , Torben Krüger , Yuriy Nemish

We describe a new incomplete but terminating method for real root finding for large multivariate polynomials. We take an abstract view of the polynomial as the set of exponent vectors associated with sign information on the coefficients.…

Symbolic Computation · Computer Science 2018-04-30 Thomas Sturm

We propose an approach to constructing iterative methods for finding polynomial roots simultaneously. One feature of this approach is using the fundamental theorem of symmetric polynomials. Within this framework, we reconstruct many of the…

Numerical Analysis · Mathematics 2020-06-18 Dmitry I. Khomovsky

We introduce a new iterative root-finding method for complex polynomials, dubbed {\it Newton-Ellipsoid} method. It is inspired by the Ellipsoid method, a classical method in optimization, and a property of Newton's Method derived in…

Numerical Analysis · Computer Science 2014-10-09 Bahman Kalantari , Eric Lee

We combine the known methods for univariate polynomial root-finding and for computations in the Frobenius matrix algebra with our novel techniques to advance numerical solution of a univariate polynomial equation, and in particular…

Numerical Analysis · Mathematics 2013-11-26 Victor Y. Pan , Ai-Long Zheng

The real roots of the cubic and quartic polynomials are studied geometrically with the help of their respective Siebeck--Marden--Northshield equilateral triangle and regular tetrahedron. The Vi\`ete trigonometric formulae for the roots of…

General Mathematics · Mathematics 2023-09-29 Emil M. Prodanov

We survey developments, over the last thirty years, in the theory of Shape Preserving Approximation (SPA) by algebraic polynomials on a finite interval. In this article, "shape" refers to (finitely many changes of) monotonicity, convexity,…

Classical Analysis and ODEs · Mathematics 2011-09-06 K. A. Kopotun , D. Leviatan , A. Prymak , I. A. Shevchuk

In this paper, we revisit the chaotic number of iterations needed by Newton's method to converge to a root. Here, we consider a simple modified Newton method depending on a parameter. It is demonstrated using polynomiography that even in…

Numerical Analysis · Mathematics 2017-08-10 H. Susanto , N. Karjanto

New modifications of the methods for simultaneous extraction of all roots of polynomials over an arbitrary Chebyshev system are elaborated. A cubic convergence of iterations is proved. The method presented is a generalisation of the…

Numerical Analysis · Mathematics 2025-10-20 A. Iliev , Khr. Semerdzhiev

We study the dynamics of Stirling's iterative root-finding method $St_f(z)$ for rational and polynomial functions. It is seen that the Scaling theorem is not satisfied by Stirling's iterative root-finding method. We prove that for a…

Complex Variables · Mathematics 2025-02-11 Nitai Mandal , Gorachand Chakraborty

When exploring the literature, it can be observed that the operator obtained when applying \textit{Newton-like} root finding algorithms to the quadratic polynomials $z^2-c$ has the same form regardless of which algorithm has been used. In…

Numerical Analysis · Mathematics 2025-01-09 Beatriz Campos , Jordi Canela , Pura Vindel

Several conditions are known for a self-inversive polynomial that ascertain the location of its roots, and we present a framework for comparison of those conditions. We associate a parametric family of polynomials $p_\alpha$ to each such…

Combinatorics · Mathematics 2019-09-20 Arnaldo Mandel , Sinai Robins

We extend the definition of an orbit portrait to the context of non-autonomous iteration, both for the combinatorial version involving collections of angles and for the dynamic version involving external rays where combinatorial portraits…

Dynamical Systems · Mathematics 2016-07-04 Mark Comerford , Todd Woodard

Finding roots of equations is at the heart of most computational science. A well-known and widely used iterative algorithm is the Newton's method. However, its convergence depends heavily on the initial guess, with poor choices often…

Numerical Analysis · Mathematics 2020-04-09 Ankush Aggarwal , Sanjay Pant