A modified Newton method for polynomials
Communications of the ACM
Point estimation of simultaneous methods for solving polynomial equations: a survey
Journal of Computational and Applied Mathematics
Analysis of Asynchronous Polynomial Root Finding Methods on a Distributed Memory Multicomputer
IEEE Transactions on Parallel and Distributed Systems
Enclosing clusters of zeros of polynomials
Journal of Computational and Applied Mathematics
Ten methods to bound multiple roots of polynomials
Journal of Computational and Applied Mathematics
A new higher-order family of inclusion zero-finding methods
Journal of Computational and Applied Mathematics
Paper: Asynchronous polynomial zero-finding algorithms
Parallel Computing
An efficient higher order family of root finders
Journal of Computational and Applied Mathematics
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A parametric family of iterative methods for the simultaneous determination of simple complex zeros of a polynomial is considered. The convergence of the basic method of the fourth order is accelerated using Newton's and Halley's corrections thus generating total-step methods of orders five and six. Further improvements are obtained by applying the Gauss-Seidel approach. Accelerated convergence of all proposed methods is attained at the cost of a negligible number of additional operations. Detailed convergence analysis and two numerical examples are given.