IEEE

A Fast Closed-Form Gradient-Descent Algorithm for Beampattern Synthesis

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 ...
GitHub

YAND-JAX: Yau's Affine Normal Descent in JAX

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.
IEEE

Gradient Descent Algorithm Based on Extended State Observer for Loss Minimization of Ultralocal Model Predictive Controlled PMSM Drives

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 ...
ahajournals.org

Long‐Term Outcomes of Transcatheter Aortic Valve Replacement in Low‐Flow Low‐Gradient Aortic Stenosis: A Reconstructed Time‐to‐Event and Multivariate Meta‐Analysis

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 ...