SOME NEWTON-TYPE ITERATIVE METHODS WITH AND WITHOUT MEMORY FOR SOLVING NONLINEAR EQUATIONS

DOI10.1142/S0219876213500783zbMath1359.65076MaRDI QIDQ2971946

Tie Zhang, Xiaofeng Wang

Publication date: 7 April 2017

Published in: International Journal of Computational Methods (Search for Journal in Brave)

zbMATH Keywords

nonlinear equationsroot-finding methodsmultipoint iterative methodsR-order convergence

Mathematics Subject Classification ID

Numerical computation of solutions to single equations (65H05)

Related Items (10)

Several two-point with memory iterative methods for solving nonlinear equations ⋮ Family of multipoint with memory iterative schemes for solving nonlinear equations ⋮ A new accelerating technique applied to a variant of Cordero-Torregrosa method ⋮ An Ostrowski-type method with memory using a novel self-accelerating parameter ⋮ An Optimal Reconstruction of Chebyshev–Halley-Type Methods with Local Convergence Analysis ⋮ Ball Convergence for a Multi-Step Harmonic Mean Newton-Like Method in Banach Space ⋮ Dynamical techniques for analyzing iterative schemes with memory ⋮ Efficient \(n\)-point iterative methods with memory for solving nonlinear equations ⋮ Some New Iterative Techniques for the Problems Involving Nonlinear Equations ⋮ A family of Newton-type iterative methods using some special self-accelerating parameters

Cites Work

• The Mathematica GuideBook for Numerics
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