Title of article :
Efficient two-step with memory methods and their dynamics
Author/Authors :
Torkashvand ، Vali Department of Mathematics - Farhangian University Tehran
Abstract :
In this work,a fourth-order without-memory method is proposed that has a self-accelerator parameter.This method doesn’t need to compute a derivative function forsolving nonlinear equations.We have approximated the self-accelerator parameter andhave increased the convergence order to %50 without increase function evaluation.Theefficiency index of the with-memory method sixth-order is equal to 1.81712. Which ishigher than one-, two-, three-, and four-step optimal methods.The attraction basin ofthe proposed methods is compared by the famous Newton’s method and Kung-Traub’s method.
Keywords :
Nonlinear equation , Basin of attraction , Terms , Approximate solutions
Journal title :
Mathematics and Computational Sciences
Journal title :
Mathematics and Computational Sciences