EconPapers    
Economics at your fingertips  
 

New efficient multipoint iterative methods for solving nonlinear systems

Davoud Rostamy and Parisa Bakhtiari

Applied Mathematics and Computation, 2015, vol. 266, issue C, 350-356

Abstract: It is attempted to put forward a new multipoint iterative method for approximating solutions of nonlinear systems. The main feature of the extended methods is that it uses only one LU factorization which preserves and reduces computational complexities. Moreover, the first step is designed in such a way that in most cases singularity of the denominator is avoided. Therefore, we try to generalize the suggested method so that we can increase the order of convergence from four to six and eight, but we do not need any new LU factorization. Also, we justify this advantage of the convergence analysis versus some numerical methods with different examples.

Keywords: Nonlinear systems; Multipoint iteration; Order of convergence; Matrix; Taylor expansion; LU factorisation (search for similar items in EconPapers)
Date: 2015
References: View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300315007110
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:266:y:2015:i:c:p:350-356

DOI: 10.1016/j.amc.2015.05.087

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:apmaco:v:266:y:2015:i:c:p:350-356