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Based on the inherent properties of horizontal linear complementarity problems, this paper presents a neural network for solving a class of horizontal linear complementarity problem in real time by introducing the new vectors. Two sufficient conditions are provided to ensure that the proposed neural network is stable in the sense of Lyapunov and converges to an exact solution of the underlying problem...
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