Quanta Magazine

Networks Hold the Key to a Decades-Old Problem About Waves

Mathematicians are still trying to understand fundamental properties of the Fourier transform, one of their most ubiquitous ...
IEEE

A Fixed-Time Proximal Gradient Neurodynamic Network With Time-Varying Coefficients for Composite Optimization Problems and Sparse Optimization Problems With Log-Sum Function

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 ...