scispace - formally typeset
M

Miodrag S. Petković

Researcher at University of Niš

Publications -  180
Citations -  2802

Miodrag S. Petković is an academic researcher from University of Niš. The author has contributed to research in topics: Iterative method & Polynomial. The author has an hindex of 28, co-authored 180 publications receiving 2668 citations.

Papers
More filters
Book

Multipoint Methods for Solving Nonlinear Equations

TL;DR: This book is the first on the topic and explains the most cutting-edge methods needed for precise calculations and explores the development of powerful algorithms to solve research problems using multipoint methods.
Book

Iterative Methods for Simultaneous Inclusion of Polynomial Zeros

TL;DR: In this paper, the authors introduce Iterative methods without derivatives, Generalized root iterations, Bell's polynomials and parallel disk iterations, and Computational efficiency of simultaneous methods.
Book

Complex Interval Arithmetic and Its Applications

TL;DR: Interval arithmetic circular complex inclusion forms best approximations by disks inclusion of polynomial zeros simultaneous inclusion of complex zeros improved inclusion methods for polynomials parallel implementation of inclusion methods numerical stability of iterative processes numerical computation of curvilinear integrals as discussed by the authors.
Journal ArticleDOI

A family of three-point methods of optimal order for solving nonlinear equations

TL;DR: It is proved that these methods have the convergence order eight requiring only four function evaluations per iteration, and supports the Kung-Traub hypothesis on the upper bound 2^n of the order of multipoint methods based on n+1 function evaluations.
Journal ArticleDOI

On a General Class of Multipoint Root-Finding Methods of High Computational Efficiency

TL;DR: It is proved that these methods have the convergence order $2^n$, requiring only $n+1$ function evaluations per iteration, and supports the Kung-Traub hypothesis on the upper bound of the order of multipoint methods based on function evaluations.