Redirigiendo al acceso original de articulo en 18 segundos...
Inicio  /  Algorithms  /  Vol: 13 Par: 1 (2020)  /  Artículo
ARTÍCULO
TITULO

Local Convergence of an Efficient Multipoint Iterative Method in Banach Space

Janak Raj Sharma    
Sunil Kumar and Ioannis K. Argyros    

Resumen

We discuss the local convergence of a derivative-free eighth order method in a Banach space setting. The present study provides the radius of convergence and bounds on errors under the hypothesis based on the first Fréchet-derivative only. The approaches of using Taylor expansions, containing higher order derivatives, do not provide such estimates since the derivatives may be nonexistent or costly to compute. By using only first derivative, the method can be applied to a wider class of functions and hence its applications are expanded. Numerical experiments show that the present results are applicable to the cases wherein previous results cannot be applied.

 Artículos similares

       
 
Yu Sun and Zhiqiang Zhang    
Accurately classifying degraded images is a challenging task that relies on domain expertise to devise effective image processing techniques for various levels of degradation. Genetic Programming (GP) has been proven to be an excellent approach for solvi... ver más
Revista: Applied Sciences

 
Jafar Jafari-Asl, Seyed Arman Hashemi Monfared and Soroush Abolfathi    
This study investigates the optimal and safe operation of pumping stations in water distribution systems (WDSs) with the aim of reducing the environmental footprint of water conveyance processes. We introduced the nonlinear chaotic honey badger algorithm... ver más
Revista: Water

 
Lin Ma, Fuheng Ma, Wenhan Cao, Benxing Lou, Xiang Luo, Qiang Li and Xiaoniao Hao    
A original strategy for optimizing the inversion of concrete dam parameters based on the multi-strategy improved Sooty Tern Optimization algorithm (MSSTOA) is proposed to address the issues of low efficiency, low accuracy, and poor optimizing performance... ver más
Revista: Water

 
Tsonyo M. Pavkov, Valentin G. Kabadzhov, Ivan K. Ivanov and Stoil I. Ivanov    
In this paper, we provide a detailed local convergence analysis of a one-parameter family of iteration methods for the simultaneous approximation of polynomial zeros due to Ivanov (Numer. Algor. 75(4): 1193?1204, 2017). Thus, we obtain two local converge... ver más
Revista: Algorithms

 
Manli Dai and Zhongyi Jiang    
An improved slime mold algorithm (IMSMA) is presented in this paper for a multiprocessor multitask fair scheduling problem, which aims to reduce the average processing time. An initial population strategy based on Bernoulli mapping reverse learning is pr... ver más
Revista: Algorithms