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 in | AIMS mathematics Vol. 6; no. 1; pp. 235 - 260 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
AIMS Press
01.01.2021
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Subjects | |
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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. |
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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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