Results 1 to 10 of about 205,428 (139)

A New Family of Fourth-Order Optimal Iterative Schemes and Remark on Kung and Traub’s Conjecture

open access: yesJournal of Mathematics, 2021
Kung and Traub conjectured that a multipoint iterative scheme without memory based on m evaluations of functions has an optimal convergence order p=2m−1.
Chein-Shan Liu, Tsung-Lin Lee
doaj   +4 more sources

A New Family of Optimal Fourth-Order Iterative Methods for Solving Nonlinear Equations With Applications

open access: yesJournal of Applied Mathematics
A new family of fourth-order iterative methods for solving nonlinear equations is proposed using the weight function procedure. This family is optimal in the sense of the Kung–Traub conjecture, as it requires three function evaluations per iteration. Due
Ali Zein
doaj   +4 more sources

Comment on: On the Kung-Traub Conjecture for Iterative Methods for Solving Quadratic Equations. Algorithms 2016, 9, 1 [PDF]

open access: yesAlgorithms, 2016
Kung-Traub conjecture states that an iterative method without memory for finding the simple zero of a scalar equation could achieve convergence order 2 d − 1 , and d is the total number of function evaluations. In an article “Babajee, D.K.R.
Fayyaz Ahmad
doaj   +3 more sources

On a New Three-Step Class of Methods and Its Acceleration for Nonlinear Equations [PDF]

open access: yesThe Scientific World Journal, 2014
A class of derivative-free methods without memory for approximating a simple zero of a nonlinear equation is presented. The proposed class uses four function evaluations per iteration with convergence order eight.
T. Lotfi   +4 more
doaj   +3 more sources

Optimal Sixteenth Order Convergent Method Based on Quasi-Hermite Interpolation for Computing Roots [PDF]

open access: yesThe Scientific World Journal, 2014
We have given a four-step, multipoint iterative method without memory for solving nonlinear equations. The method is constructed by using quasi-Hermite interpolation and has order of convergence sixteen.
Fiza Zafar   +3 more
doaj   +3 more sources

An Optimal Thirty-Second-Order Iterative Method for Solving Nonlinear Equations and a Conjecture [PDF]

open access: yesQualitative Theory of Dynamical Systems, 2022
Many multipoint iterative methods without memory for solving non-linear equations in one variable are found in the literature. In particular, there are methods that provide fourth-order, eighth-order or sixteenth-order convergence using only ...
J. Varona
semanticscholar   +2 more sources

A New Optimal Numerical Root-Solver for Solving Systems of Nonlinear Equations Using Local, Semi-Local, and Stability Analysis

open access: yesAxioms
This paper introduces an iterative method with a remarkable level of accuracy, namely fourth-order convergence. The method is specifically tailored to meet the optimality condition under the Kung–Traub conjecture by linear combination.
Sania Qureshi   +5 more
doaj   +2 more sources

One Parameter Optimal Derivative-Free Family to Find the Multiple Roots of Algebraic Nonlinear Equations

open access: yesMathematics, 2020
In this study, we construct the one parameter optimal derivative-free iterative family to find the multiple roots of an algebraic nonlinear function.
Munish Kansal   +4 more
doaj   +2 more sources

A Robust and Optimal Iterative Algorithm Employing a Weight Function for Solving Nonlinear Equations with Dynamics and Applications

open access: yesAxioms
This study introduces a novel, iterative algorithm that achieves fourth-order convergence for solving nonlinear equations. Satisfying the Kung–Traub conjecture, the proposed technique achieves an optimal order of four with an efficiency index (I) of 1 ...
Shahid Abdullah   +4 more
doaj   +2 more sources

An optimal family of methods for obtaining the zero of nonlinear equation [PDF]

open access: yesMathematics and Computational Sciences, 2022
This manuscript presents a developed fourth-order iterative familyof methods for determining the zero of nonlinear equations that isoptimal in line with Kung-Traub conjecture. The family of methodswas constructed by using weight function technique.
Oghovese Ogbereyivwe, John Emunefe
doaj   +1 more source

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