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- W2015014423 abstract "A discrete-time recurrent neural network which is called the discrete-time Lagrangian network is proposed in this letter for solving convex quadratic programs. It is developed based on the classical Lagrange optimization method and solves quadratic programs without using any penalty parameter. The condition for the neural network to globally converge to the optimal solution of the quadratic program is given. Simulation results are presented to illustrate its performance." @default.
- W2015014423 created "2016-06-24" @default.
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- W2015014423 date "2000-08-01" @default.
- W2015014423 modified "2023-09-27" @default.
- W2015014423 title "Letter to the Editor: A DISCRETE-TIME LAGRANGIAN NETWORK FOR SOLVING CONSTRAINED QUADRATIC PROGRAMS" @default.
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- W2015014423 doi "https://doi.org/10.1142/s0129065700000260" @default.
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