Abstract: A fast gradient-descent (FGD) method is proposed for far-field pattern synthesis of large antenna arrays. Compared with conventional gradient-descent (GD) methods for pattern synthesis where ...

This repository contains the core recommendation system powering the "For You" feed on X. It combines in-network content (from accounts you follow) with out-of-network content (discovered through ...

Abstract: In this paper, we propose a new learning method for max-min neural networks with more than three layers. These networks, valued for their intrinsic interpretability due to their direct link ...

The first open-source implementation of Yau's Affine Normal Descent (YAND), a geometric optimization algorithm that derives search directions from the equi-affine normal of level-set hypersurfaces.