2007
DOI: 10.1016/j.jmaa.2007.02.052
|View full text |Cite
|
Sign up to set email alerts
|

Third-order iterative methods under Kantorovich conditions

Abstract: We study a class of third-order iterative methods for nonlinear equations on Banach spaces. A characterization of the convergence under Kantorovich type conditions and optimal estimates of the error are found. Though, in general, these methods are not very extended due to their computational costs, we will show some examples in which they are competitive and even cheaper than other simpler methods. We center our analysis in both, analytic and computational, aspects.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
42
0

Year Published

2010
2010
2020
2020

Publication Types

Select...
5
3

Relationship

2
6

Authors

Journals

citations
Cited by 76 publications
(42 citation statements)
references
References 25 publications
0
42
0
Order By: Relevance
“…The classical third-order methods use second-order Fréchet derivatives. [10][11][12] These evaluations are very time consuming, and for this reason, these methods are hardly used in practice.…”
Section: Introductionmentioning
confidence: 99%
“…The classical third-order methods use second-order Fréchet derivatives. [10][11][12] These evaluations are very time consuming, and for this reason, these methods are hardly used in practice.…”
Section: Introductionmentioning
confidence: 99%
“…A generalized norm is defined to be an operator from a linear space into a partially order Banach space (as will be elaborated in Section 2). Earlier studies such as [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16] for Newton's method have shown that a more precise convergence analysis is obtained when compared with the real norm theory. However, the main assumption is that the operator involved is Fréchet differentiable.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, the advantages (i)-(iii) are obtained under the same or less computational cost. Notice that in the recent elegant work by Adly et al, [1] Newton's method has also been generalized to other important directions for solving inclusions and set-valued approximations. In the classical Banach space setting though these results that rely on non smooth analysis and metric regularity do not provide sufficient convergence criteria in the local as well as semilocal convergence case that are verifiable using Lipschitz-type constants as we utilize in the present study.…”
Section: Introductionmentioning
confidence: 99%
“…Under some regularity assumptions, the methods are at least second order convergent. The classical third order schemes, such as Halley or Chebyshev methods, evaluate second order Fréchet derivatives [1][2][3]. These evaluations are very time-consuming for systems of equations.…”
Section: Introductionmentioning
confidence: 99%