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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Convergence Analysis of Newton-Raphson Method for Nonlinear Integral Equations

Authors: Assanu Augustine;

Convergence Analysis of Newton-Raphson Method for Nonlinear Integral Equations

Abstract

This paper presents a comprehensive convergence analysis of the Newton-Raphson method applied to nonlinear integral equations in Banach spaces. We establish local and global convergence theorems under appropriate conditions on the Fréchet derivative of the integral operator. The analysis demonstrates that the method exhibits quadratic convergence in a neighborhood of the solution when the derivative satisfies a Lipschitz condition. We derive explicit error bounds and convergence rates, providing both theoretical foundations and practical criteria for implementation. Numerical examples illustrate the theoretical results and demonstrate the effectiveness of the method for various classes of nonlinear Fredholm and Volterra integral equations. The results extend classical finite-dimensional convergence theory to infinite-dimensional function spaces and provide a rigorous framework for analyzing iterative solutions of operator equations.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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