Abstract: In this letter we study the proximal gradient dynamics. This recently-proposed continuous-time dynamics solves optimization problems whose cost functions are separable into a nonsmooth ...

This project implements a hybrid optimization framework that combines a Genetic Algorithm (GA) with Gradient Descent (GD) for solving continuous unconstrained optimization problems. It supports ...

Abstract: Multidimensional small baseline subset interferometric synthetic aperture radar (MSBAS InSAR) is a multidimensional deformation time series inversion method that integrates multiorbit SAR ...

Machine learning has made significant advancements, particularly through deep learning techniques. These advancements rely heavily on optimization algorithms to train large-scale models for various ...

ABSTRACT: The purpose of this letter is to present the corrected expressions for the four-pole transmission matrix for a duct with a linear temperature gradient and an exponential temperature profile, ...