SIMPSON’S THREE-EIGHTHS APPROACH FOR COMPUTING SOLUTIONS OF ABSOLUTE VALUE EQUATIONS NUMERICALLY

In this study, we propose a two-step iterative procedure for solving absolute value equations. The method includes Simpson's Three-Eighths formula with five points as a corrector step and generalized Newton's approach as a predictor step. For solving large systems, this method is very effective because it is very simple. Moreover, we show the convergence analysis under certain conditions using different theorems. We conducted numerical experiments to examine the efficiency of the presented technique.

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Publication Details

Journal
Journal of Applied Analysis & Computation
Published
2025-01-01
DOI
https://doi.org/10.11948/20240179
Primary Topic
Iterative Methods for Nonlinear Equations
Type
article
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article

SIMPSON’S THREE-EIGHTHS APPROACH FOR COMPUTING SOLUTIONS OF ABSOLUTE VALUE EQUATIONS NUMERICALLY

Amjid Ali, Nisar Gul, Rasool Shah, Haibo Chen
Journal of Applied Analysis & Computation
Iterative Methods for Nonlinear Equations
article

SIMPSON’S THREE-EIGHTHS APPROACH FOR COMPUTING SOLUTIONS OF ABSOLUTE VALUE EQUATIONS NUMERICALLY

Amjid Ali, Nisar Gul, Rasool Shah, Haibo Chen
article en

Abstract

In this study, we propose a two-step iterative procedure for solving absolute value equations. The method includes Simpson's Three-Eighths formula with five points as a corrector step and generalized Newton's approach as a predictor step. For solving large systems, this method is very effective because it is very simple. Moreover, we show the convergence analysis under certain conditions using different theorems. We conducted numerical experiments to examine the efficiency of the presented technique.

Journal of Applied Analysis & ComputationVol. 15(2)
Openalex Percentile: Top 78%
Iterative Methods for Nonlinear Equations
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SIMPSON’S THREE-EIGHTHS APPROACH FOR COMPUTING SOLUTIONS OF ABSOLUTE VALUE EQUATIONS NUMERICALLY — Amjid Ali, Nisar Gul, et al. · Journal of Applied Analysis & Computation (2025) | TGRS Research Map | TGRS