Extended Newton's method for solving generalized equations under Kantorovich's-type weak conditions

The Kantorovich's methodology has been applied extensively to solve generalized equations using Newton's method. However, the mostly sufficient conditions limit the applicability of this method. But the method may converge even if these conditions are not satisfied. Therefore, it is important to show convergence to a solution under weaker conditions, and if possible without additional conditions. Motivated by optimization considerations and using more precise majorizing sequences we obtain the following advantages over either studies: Semi-Local Case: Extended convergence domain under the same or weaker convergence conditions, and tighter error bounds on the distances involved. Local Case: Enlarged radius of convergence and a finer error analysis. Our approach provides the same advantages in the case of Smale's theory for generalized equations.

Publication Details

Journal
Annales Universitatis Scientiarum Budapestinensis de Rolando Eötvös Nominatae Sectio computatorica
Published
2025-01-01
DOI
https://doi.org/10.71352/ac.58.301224
Primary Topic
Advanced NMR Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Extended Newton's method for solving generalized equations under Kantorovich's-type weak conditions

Annales Universitatis Scientiarum Budapestinensis de Rolando Eötvös Nominatae Sectio computatorica
Advanced NMR Techniques and Applications
article

Extended Newton's method for solving generalized equations under Kantorovich's-type weak conditions

article en

Abstract

The Kantorovich's methodology has been applied extensively to solve generalized equations using Newton's method. However, the mostly sufficient conditions limit the applicability of this method. But the method may converge even if these conditions are not satisfied. Therefore, it is important to show convergence to a solution under weaker conditions, and if possible without additional conditions. Motivated by optimization considerations and using more precise majorizing sequences we obtain the following advantages over either studies: Semi-Local Case: Extended convergence domain under the same or weaker convergence conditions, and tighter error bounds on the distances involved. Local Case: Enlarged radius of convergence and a finer error analysis. Our approach provides the same advantages in the case of Smale's theory for generalized equations.

Annales Universitatis Scientiarum Budapestinensis de Rolando Eötvös Nominatae Sectio computatoricaVol. 58
Openalex Percentile: Top 56%
Advanced NMR Techniques and Applications
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