An extended study of two multistep higher order convergent methods for solving nonlinear equations

The local analysis of convergence for two competing methods of order seven or eight is developed to solve Banach space‐valued equations. Previous studies have used the eighth or ninth derivative of the operator involved, which do not appear on the methods, to show the convergence of these methods on the finite‐dimensional Euclidean space. In addition, no computable error distances or isolation of the solution results are provided in this study. These problems limit the applicability of this method to solving equations with operators that are at least nine times differentiable. In the current study, only conditions on the first derivative, appearing in these methods, are employed to show the convergence of these methods. Moreover, computable error bounds depend on the distance in the world as well as the isolation of the solution. Results are provided based on generalized continuity conditions on the first derivative. Furthermore, the more interesting semi‐local analysis of convergence not given before these methods is presented using a majorizing sequence. Finally, a great deal of impressive numerical results has been shown on real‐world problems.

Authors

Institutions

Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2024-10-07
DOI
https://doi.org/10.1002/mma.10524
Primary Topic
Iterative Methods for Nonlinear Equations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An extended study of two multistep higher order convergent methods for solving nonlinear equations

Íñigo Sarría, Ramandeep Behl, Ioannis K. Argyros
Mathematical Methods in the Applied Sciences
Iterative Methods for Nonlinear Equations
article

An extended study of two multistep higher order convergent methods for solving nonlinear equations

Íñigo Sarría, Ramandeep Behl, Ioannis K. Argyros
article en

Abstract

The local analysis of convergence for two competing methods of order seven or eight is developed to solve Banach space‐valued equations. Previous studies have used the eighth or ninth derivative of the operator involved, which do not appear on the methods, to show the convergence of these methods on the finite‐dimensional Euclidean space. In addition, no computable error distances or isolation of the solution results are provided in this study. These problems limit the applicability of this method to solving equations with operators that are at least nine times differentiable. In the current study, only conditions on the first derivative, appearing in these methods, are employed to show the convergence of these methods. Moreover, computable error bounds depend on the distance in the world as well as the isolation of the solution. Results are provided based on generalized continuity conditions on the first derivative. Furthermore, the more interesting semi‐local analysis of convergence not given before these methods is presented using a majorizing sequence. Finally, a great deal of impressive numerical results has been shown on real‐world problems.

Mathematical Methods in the Applied SciencesVol. 48(3)
Cameron University (US), King Abdulaziz University (SA), Universidad Internacional De La Rioja (ES)
Openalex Percentile: Top 73%
Iterative Methods for Nonlinear Equations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

An extended study of two multistep higher order convergent methods for solving nonlinear equations — Íñigo Sarría, Ramandeep Behl, et al. · Mathematical Methods in the Applied Sciences (2024) | TGRS Research Map | TGRS