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• W3124229293 endingPage "113423" @default.
• W3124229293 startingPage "113423" @default.
• W3124229293 abstract "In this paper, by improving a line search criterion to yield steplength, and designing a hybrid conjugate parameter to construct sufficient descent direction, we propose a generalized hybrid conjugate gradient projection method for solving large-scale monotone nonlinear equations with convex constraints. For the proposed method, we prove its global convergence under some mild conditions, and study its convergence rate. Numerical comparisons with two existing methods show that our method is promising for solving large-scale nonlinear constrained equations. Furthermore, the experiment results of dealing with image restoration problems also verify that the proposed method is effective." @default.
• W3124229293 created "2021-02-01" @default.
• W3124229293 creator A5032551201 @default.
• W3124229293 creator A5046308447 @default.
• W3124229293 creator A5066627199 @default.
• W3124229293 date "2021-08-01" @default.
• W3124229293 modified "2023-10-18" @default.
• W3124229293 title "A generalized hybrid CGPM-based algorithm for solving large-scale convex constrained equations with applications to image restoration" @default.
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• W3124229293 doi "https://doi.org/10.1016/j.cam.2021.113423" @default.
• W3124229293 hasPublicationYear "2021" @default.
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