Abstract: This article presents a novel proximal gradient neurodynamic network (PGNN) for solving composite optimization problems (COPs). The proposed PGNN with time-varying coefficients can be ...
The map function takes a function definition as its first argument (required) The function whose definition we pass in will have 3 arguments available to it and will be called for each element in the ...
Abstract: The log-sum function as a penalty has always been drawing widespread attention in the field of sparse problems. However, it brings a non-convex, non-smooth and non-Lipschitz optimization ...
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