2011
DOI: 10.1016/j.cam.2011.01.005
|View full text |Cite
|
Sign up to set email alerts
|

On the semilocal convergence of efficient Chebyshev–Secant-type methods

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4

Citation Types

1
36
0
2

Year Published

2013
2013
2019
2019

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 45 publications
(39 citation statements)
references
References 15 publications
1
36
0
2
Order By: Relevance
“…Various modification of Newton's method are proposed to increase the order of convergence and efficiency. In literature [11,18,13,2,15,8,9,16], authors have established the semilocal convergence of higher order iterative methods under various continuity conditions. Recently, the semilocal convergence of an efficient fifth order method is established in [17] under Lipschitz condition on F .…”
Section: Introductionmentioning
confidence: 99%
“…Various modification of Newton's method are proposed to increase the order of convergence and efficiency. In literature [11,18,13,2,15,8,9,16], authors have established the semilocal convergence of higher order iterative methods under various continuity conditions. Recently, the semilocal convergence of an efficient fifth order method is established in [17] under Lipschitz condition on F .…”
Section: Introductionmentioning
confidence: 99%
“…Observe in (2) that the same operator Θ is used in the three steps in order to minimize the computational cost. Several papers in the recent literature taking into account iterative methods with an operator repeated, that we call frozen, can be found in [1][2][3][4]12]. We give a more general expression of the first order divided difference operator setting ε A = A − x * and ε B = B − x * , where x * ∈ R m is a simple solution of nonlinear equation (1), and A and B are functions of x with A(x * ) = x * and B(x * ) = x * .…”
Section: Introductionmentioning
confidence: 99%
“…Among them, a classic iterative process with cubic convergence is Chebyshev's method (see [5,7,13], and [15]):…”
Section: Introductionmentioning
confidence: 99%
“…There exists an interest in constructing the families of iterative processes free of derivatives. To obtain a new family in [7], we considered an approximation of the first derivative of F from a divided difference of first order, that is, F (x n ) ≈ [x n−1 , x n , F ], where [x, y; F ] is a divided difference of order one for the operator F at the points x, y ∈ . Then we introduce the (CSTM) as follows:…”
Section: Introductionmentioning
confidence: 99%