An efficient gradient-free projection algorithm for constrained nonlinear equations and image restoration

Motivated by the projection technique, in this paper, we introduce a new method for approximating the solution of nonlinear equations with convex constraints. Under the assumption that the associated mapping is Lipchitz continuous and satisfies a weaker assumption of monotonicity, we establish the g...

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Published inAIMS mathematics Vol. 6; no. 1; pp. 235 - 260
Main Authors Ibrahim, Abdulkarim Hassan, Kumam, Poom, Abubakar, Auwal Bala, Yusuf, Umar Batsari, Yimer, Seifu Endris, Aremu, Kazeem Olalekan
Format Journal Article
LanguageEnglish
Published AIMS Press 01.01.2021
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Abstract Motivated by the projection technique, in this paper, we introduce a new method for approximating the solution of nonlinear equations with convex constraints. Under the assumption that the associated mapping is Lipchitz continuous and satisfies a weaker assumption of monotonicity, we establish the global convergence of the sequence generated by the proposed algorithm. Applications and numerical example are presented to illustrate the performance of the proposed method.
AbstractList Motivated by the projection technique, in this paper, we introduce a new method for approximating the solution of nonlinear equations with convex constraints. Under the assumption that the associated mapping is Lipchitz continuous and satisfies a weaker assumption of monotonicity, we establish the global convergence of the sequence generated by the proposed algorithm. Applications and numerical example are presented to illustrate the performance of the proposed method.
Author Yimer, Seifu Endris
Abubakar, Auwal Bala
Ibrahim, Abdulkarim Hassan
Yusuf, Umar Batsari
Kumam, Poom
Aremu, Kazeem Olalekan
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SubjectTerms compressive sensing
conjugate gradient method
convex constrained
nonlinear equations
projection method
unconstrained optimization
Title An efficient gradient-free projection algorithm for constrained nonlinear equations and image restoration
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