Improved convergence analysis for Newton-like methods
Autor:
Magreñán, Á. Alberto
; Argyros, Ioannis K
Fecha:
04/2016Palabra clave:
Revista / editorial:
Numerical AlgorithmsTipo de Ítem:
Articulo Revista IndexadaDirección web:
https://link.springer.com/article/10.1007/s11075-015-0025-3Resumen:
We present a new semilocal convergence analysis for Newton-like methods in order to approximate a locally unique solution of an equation in a Banach space setting. This way, we expand the applicability of these methods in cases not covered in earlier studies. The advantages of our approach include a more precise convergence analysis under the same computational cost on the Lipschitz constants involved. Applications are also given in this study to show that our estimates on the distances involved are tighter than the older ones.
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