Ball convergence of a sixth order iterative method with one parameter for solving equations under weak conditions

CALCOLO ◽  
2015 ◽  
Vol 53 (4) ◽  
pp. 585-595 ◽  
Author(s):  
Ioannis K. Argyros ◽  
Santhosh George
2012 ◽  
Vol 220-223 ◽  
pp. 2585-2588
Author(s):  
Zhong Yong Hu ◽  
Fang Liang ◽  
Lian Zhong Li ◽  
Rui Chen

In this paper, we present a modified sixth order convergent Newton-type method for solving nonlinear equations. It is free from second derivatives, and requires three evaluations of the functions and two evaluations of derivatives per iteration. Hence the efficiency index of the presented method is 1.43097 which is better than that of classical Newton’s method 1.41421. Several results are given to illustrate the advantage and efficiency the algorithm.


1987 ◽  
Vol 49 (1-2) ◽  
pp. 129-137 ◽  
Author(s):  
Duong Thuy Vy

2008 ◽  
Vol 206 (1) ◽  
pp. 164-174 ◽  
Author(s):  
S. Amat ◽  
M.A. Hernández ◽  
N. Romero

2018 ◽  
Vol 56 (7) ◽  
pp. 2117-2131 ◽  
Author(s):  
Á. A. Magreñán ◽  
I. K. Argyros ◽  
J. J. Rainer ◽  
J. A. Sicilia
Keyword(s):  

2012 ◽  
Vol 62 (7) ◽  
pp. 833-841 ◽  
Author(s):  
S. Amat ◽  
M.A. Hernández ◽  
N. Romero

2018 ◽  
Vol 1139 ◽  
pp. 012035
Author(s):  
Ioannis K Argyros ◽  
Ramandeep Behl

Mathematics ◽  
2018 ◽  
Vol 6 (11) ◽  
pp. 260 ◽  
Author(s):  
Janak Sharma ◽  
Ioannis Argyros ◽  
Sunil Kumar

The convergence order of numerous iterative methods is obtained using derivatives of a higher order, although these derivatives are not involved in the methods. Therefore, these methods cannot be used to solve equations with functions that do not have such high-order derivatives, since their convergence is not guaranteed. The convergence in this paper is shown, relying only on the first derivative. That is how we expand the applicability of some popular methods.


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