A derivative-free projection method with double inertial effects for solving nonlinear equations

Recent research has highlighted the significant performance of multi-step inertial extrapolation in a wide range of algorithmic applications. This paper introduces a derivative-free projection method (DFPM) with a double-inertial extrapolation step for solving large-scale systems of nonlinear equati...

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Vydáno v:Applied numerical mathematics Ročník 209; s. 55 - 67
Hlavní autoři: Ibrahim, Abdulkarim Hassan, Al-Homidan, Suliman
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 01.03.2025
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ISSN:0168-9274
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Shrnutí:Recent research has highlighted the significant performance of multi-step inertial extrapolation in a wide range of algorithmic applications. This paper introduces a derivative-free projection method (DFPM) with a double-inertial extrapolation step for solving large-scale systems of nonlinear equations. The proposed method's global convergence is established under the assumption that the underlying mapping is Lipschitz continuous and satisfies a certain generalized monotonicity assumption (e.g., it can be pseudo-monotone). This is the first convergence result for a DFPM with double inertial step to solve nonlinear equations. Numerical experiments are conducted using well-known test problems to show the proposed method's effectiveness and robustness compared to two existing methods in the literature.
ISSN:0168-9274
DOI:10.1016/j.apnum.2024.11.006