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 ...
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.
Abstract: Hybrid loss minimization algorithms in electrical drives combine the benefits of search-based and model-based approaches to deliver fast and robust dynamic responses. This article presents a ...
Statistical estimation in multivariate modelling encompasses a range of methods designed to infer parameters and latent structures when dealing with multiple interdependent variables. At its core lies ...
There are uncertainties regarding long‐term outcomes of low‐flow, low‐gradient (LFLG) severe aortic stenosis (AS) following transcatheter aortic valve replacement (TAVR). This study investigates ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results