Search Results - "Reflected–forward–backward algorithm"

Four-operator reflected forward-backward algorithm for solving monotone inclusions involving Lipschitzian operator by Cao, Yu, Wang, Yuanheng, Ur Rehman, Habib, Shehu, Yekini, Yao, Jen-Chih

“…In this work, using a discretisation of continuous-time dynamical systems, we design a novel splitting algorithm without the lifting technique for finding the…”
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Fast Reflected Forward-Backward algorithm: achieving fast convergence rates for convex optimization with linear cone constraints by Boţ, Radu Ioan, Nguyen, Dang-Khoa, Zong, Chunxiang

“…In this paper, we derive a Fast Reflected Forward-Backward (Fast RFB) algorithm to solve the problem of finding a zero of the sum of a maximally monotone…”
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Convergence of an inertial reflected–forward–backward splitting algorithm for solving monotone inclusion problems with application to image recovery by Izuchukwu, Chinedu, Reich, Simeon, Shehu, Yekini

“…We first propose a reflected–forward–backward splitting algorithm with two inertial effects for solving monotone inclusions and then establish that the…”
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Perturbed reflected forward backward splitting algorithm for monotone inclusion by Tan, Bing, Shehu, Yekini, Li, Tiexiang, Qin, Xiaolong

“…In this paper, we investigate a new reflected forward–backward splitting algorithm with self-adaptive step sizes to solve monotone inclusion problems. The…”
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Inertial Stochastic Reflected Forward Backward Method with Applications to Traffic Network Problems by Izuchukwu, Chinedu, Alakoya, Timilehin Opeyemi, Moutari, Salissou, Zeng, Shengda

“…This paper introduces a new inertial stochastic reflected-forward-backward splitting method aimed at addressing monotone inclusion problems, specifically…”
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Fast Reflected Forward-Backward algorithm: achieving fast convergence rates for convex optimization with linear cone constraints by Bot, Radu Ioan, Nguyen, Dang-Khoa, Zong, Chunxiang

“…In this paper, we derive a Fast Reflected Forward-Backward (Fast RFB) algorithm to solve the problem of finding a zero of the sum of a maximally monotone…”
Get full text