Updating to Optimal Parametric Values by Memory-Dependent Methods: Iterative Schemes of Fractional Type for Solving Nonlinear Equations
In the paper, two nonlinear variants of the Newton method are developed for solving nonlinear equations. The derivative-free nonlinear fractional type of the one-step iterative scheme of a fourth-order convergence contains three parameters, whose optimal values are obtained by a memory-dependent upd...
Main Authors: | Chein-Shan Liu, Chih-Wen Chang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-03-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/12/7/1032 |
Similar Items
-
A Two-Dimensional Variant of Newton’s Method and a Three-Point Hermite Interpolation: Fourth- and Eighth-Order Optimal Iterative Schemes
by: Chein-Shan Liu, et al.
Published: (2023-11-01) -
New Memory-Updating Methods in Two-Step Newton’s Variants for Solving Nonlinear Equations with High Efficiency Index
by: Chein-Shan Liu, et al.
Published: (2024-02-01) -
Regularized Normalization Methods for Solving Linear and Nonlinear Eigenvalue Problems
by: Chein-Shan Liu, et al.
Published: (2023-09-01) -
Beyond Newton: A New Root-Finding Fixed-Point Iteration for Nonlinear Equations
by: Ankush Aggarwal, et al.
Published: (2020-03-01) -
Jarratt and Jarratt-variant families of iterative schemes for scalar and system of nonlinear equations
by: O. Ogbereyivwe, et al.
Published: (2024-06-01)