IEEE

A Fixed-Time Proximal Gradient Neurodynamic Network With Time-Varying Coefficients for Composite Optimization Problems and Sparse Optimization Problems With Log-Sum Function

Abstract: This article presents a novel proximal gradient neurodynamic network (PGNN) for solving composite optimization problems (COPs). The proposed PGNN with time-varying coefficients can be ...
Daily Excelsior

Congress will dissolve Leh unit if BJP takes first step: Namgial

LEH, Jan 19: District Congress Committee (DCC) Leh, led by its president Rigzin Namgial, today held a press conference in response to the Ladakh Buddhist Association’s (LBA) call for disbanding all ...
IEEE

Meta-Learning Inspired Single-Step Generative Model for Expensive Multitask Optimization Problems

Abstract: In expensive multitask optimization problems (ExMTOPs), multiple complex tasks must be optimized simultaneously under limited computational budgets. Existing approaches, often based on ...
Frontiers

Structure and function of neurovascular unit in arterial hypertension

Laboratory of Preclinical Research and Environmental Agents, Mossakowski Medical Research Institute, Polish Academy of Sciences, Warsaw, Poland Arterial hypertension is considered a main risk factor ...