Gradient flow is an innovative analytical and numerical tool that systematically smooths gauge field configurations in quantum chromodynamics (QCD) and related non-Abelian gauge theories. By ...

Abstract: This paper presents the Gradient Flow (GF) decoding for LDPC codes. GF decoding, a continuous-time methodology based on gradient flow, employs a potential energy function associated with ...

1 Department of Mathematics, University College in Al-Qunfudhah, Umm Al-Qura University, Al-Qunfudhah, Saudi Arabia 2 Department of Mathematics, IPEIN, Carthage University, Nabeul, Tunisia The aim of ...

Despite the enormous success of Graph Convolutional Networks (GCNs) in mod- elling graph-structured data, most of the current GCNs are shallow due to the notoriously challenging problems of ...

Abstract: This paper investigates the continuous-time unconstrained optimization via dynamical gradient flow systems. For strongly convex objective functions, a gradient flow with predefined time ...

Driving force An experiment has confirmed that an oscillating temperature gradient boosts heat flow in fluids. (Courtesy: iStock/Mervana) Physicists in the Czech Republic have shown that heat flows ...

In view of the rising global burden of severe symptomatic aortic stenosis, its early recognition and treatment is key. Although patients with classical low‐flow, low‐gradient (C‐LFLG) aortic stenosis ...

Introduction: Classical low-flow, low-gradient aortic stenosis (LFLG-AS) is an advanced stage of aortic stenosis, which has a poor prognosis with medical treatment and a high operative mortality after ...