Abstract: This paper investigates fast first-order methods for nonconvex optimization, inspired by a second-order dynamical system with vanishing damping and strongly convex dry friction. By ...
Abstract: In this paper, we investigate the use of model-based neural networks for Massive Multiple-Input Multiple-Output (MMIMO) detection. Recently, a new M-MIMO detection architecture called LcgNet ...
The script tutorial.py is intended as the main entry point. It allows one to run the main algorithms with several different target distributions. In particular, one can select an algorithm (KDRW/RRW, ...
This repository contains a comparative study of various optimization algorithms for task scheduling in fog computing environments, focusing on energy efficiency, response time, deadline satisfaction, ...
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