Results 21 to 30 of about 13,410 (248)

Improved convergence ball and error analysis of Müller's method

open access: yesBoletim da Sociedade Paranaense de Matemática, 2022
We present an improved convergence analysis of Müller's method for solving nonlinear equation under conditions that the divided differences of order one of the involved function satisfy the Lipschitz conditions. Our result improves the earlier work in literature. Numerical examples are presented to illustrate the theoretical results.
Ioannis K. Argyros   +2 more
openaire   +2 more sources

Extended High Order Algorithms for Equations under the Same Set of Conditions

open access: yesAlgorithms, 2021
A variety of strategies are used to construct algorithms for solving equations. However, higher order derivatives are usually assumed to calculate the convergence order.
Ioannis K. Argyros   +5 more
doaj   +1 more source

Ball Convergence for Higher Order Methods Under Weak Conditions

open access: yesJournal of Mathematical Study, 2021
We present a local convergence analysis for higher order methods in order to approximate a locally unique solution of an equation in a Banach space setting. In earlier studies, Taylor expansions and hypotheses on higher order Fréchet-derivatives are used. We expand the applicability of these methods using only hypotheses on the first Fréchet derivative.
Ioannis K. Argyros, Santhosh George
openaire   +1 more source

Ball Convergence for eighth order method

open access: yes, 2017
Consider the problem of approximating a locally unique solution x of the nonlinear equation F(x) = 0, (21.1) where F is a Fréchet-differentiable operator defined on a convex subset D of a Banach space X with values in a Banach space Y. The equation (21.1) covers wide range of problems in classical analysis and applications [1-30]. Closed form solutions
Argyros, Ioannis K   +1 more
openaire   +2 more sources

Heavy Ball Restarted CMRH Methods for Linear Systems

open access: yesMathematical and Computational Applications, 2018
The restarted CMRH method (changing minimal residual method based on the Hessenberg process) using fewer operations and storage is an alternative method to the restarted generalized minimal residual method (GMRES) method for linear systems.
Zhongming Teng, Xuansheng Wang
doaj   +1 more source

A Generalized Bearing Dynamic with Adaptive Variation of Equation Numbers and Sliding Behavior Investigation

open access: yesLubricants, 2023
The complex sliding behavior inside ball bearings seriously affects the mechanical system’s performance. Current dynamic models for predicting this behavior suffer from poor generality and convergence.
Shuaijun Ma   +5 more
doaj   +1 more source

On the Convergence of a Kurchatov-Type Method for Solving Nonlinear Equations and Its Applications

open access: yesAppliedMath
A local and a semi-local convergence analysis are presented for the Kurchatov-type method to solve numerically nonlinear equations in a Banach space. The method depends on a real parameter. By specializing the parameter, we obtain methods already studied
Ioannis K. Argyros   +2 more
doaj   +1 more source

Local Convergence Balls for Nonlinear Problems with Multiplicity and Their Extension to Eighth‐Order Convergence

open access: yesMathematical Problems in Engineering, 2019
The main contribution of this study is to present a new optimal eighth‐order scheme for locating zeros with multiplicity m ≥ 1. An extensive convergence analysis is presented with the main theorem in order to demonstrate the optimal eighth‐order convergence of the proposed scheme.
Ramandeep Behl   +3 more
openaire   +2 more sources

On Newton's method for subanalytic equations

open access: yesJournal of Numerical Analysis and Approximation Theory, 2017
We present local and semilocal convergence results for Newton’s method in order to approximate solutions of subanalytic equations. The local convergence results are given under weaker conditions than in earlier studies such as [9], [10], [14], [15], [24]
Ioannis K. Argyros, Santhosh George
doaj   +2 more sources

Extending the Applicability of Newton’s Algorithm with Projections for Solving Generalized Equations

open access: yesApplied System Innovation, 2020
A new technique is developed to extend the convergence ball of Newton’s algorithm with projections for solving generalized equations with constraints on the multidimensional Euclidean space. This goal is achieved by locating a more precise region than in
Michael I. Argyros   +4 more
doaj   +1 more source

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