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A dynamical system with fixed-time convergence for solving the split feasibility problem

Kaiping Liu, Haitao Che, Meixia Li

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Abstract

Abstract In this article, we first transform the split feasibility problem into the fixed point problem, and focus on a novel dynamical system to solve the fixed point problem. The existence and uniqueness of the solution of the dynamical system is revealed. Under mild conditions, we derive that the solution of proposed method globally converges to the solution of the split feasibility problem. Furthermore, the convergence time of the dynamical system can be upper bounded which is independent of any initial state. Finally, numerical experiments on signal processing and image restoration are presented to demonstrate the efficiency and competitiveness of proposed method.

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What this paper is about

Abstract In this article, we first transform the split feasibility problem into the fixed point problem, and focus on a novel dynamical system to solve the fixed point problem. The existence and uniqueness of the solution of the dynamical system is revealed. Under mild conditions, we derive that the solution of proposed method globally converges to the solution of the split feasibility problem. Furthermore, the convergence time of the dynamical system can be upper bounded which is independent of any initial state. Finally, numerical experiments on signal processing and image restoration are presented to demonstrate the efficiency and competitiveness of proposed method.

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Available abstract

Abstract In this article, we first transform the split feasibility problem into the fixed point problem, and focus on a novel dynamical system to solve the fixed point problem. The existence and uniqueness of the solution of the dynamical system is revealed. Under mild conditions, we derive that the solution of proposed method globally converges to the solution of the split feasibility problem. Furthermore, the convergence time of the dynamical system can be upper bounded which is independent of any initial state. Finally, numerical experiments on signal processing and image restoration are presented to demonstrate the efficiency and competitiveness of proposed method.

Key concepts: Uniqueness, Convergence (economics), Focus (optics), Bounded function, Dynamical system (definition), Dynamical systems theory, Mathematical optimization, Fixed point

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