Discover how advanced detectors are driving improvements in biopharma quality assurance by enhancing precision across ...

This project implements the Conjugate Gradient (CG) method (without preconditioning) to solve large sparse linear systems Ax = b. Features Custom CG Solver: Computes ...

Abstract: This paper presents an extended gradient-based optimization framework for optimal control problems governed by general conformable fractional derivatives (GCFDs), which unify various ...

Adaptive gradient optimization methods, such as Adam, are prevalent in training deep neural networks across diverse machine learning tasks due to their ability to achieve faster convergence. However, ...

Abstract: This article proposes a distributed optimization algorithm with a convergence time that can be assigned in advance according to task requirements. To this end, a sliding manifold is ...