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

Abstract: In order to address unconstrained optimization problems, conjugate gradient methods are frequently employed. When considering the unconstrained optimization issue, the accelerated conjugate ...

The following repo contains implementations of various optimization algorithms in Julia. I created this project to be better understand how these algortihms work and how they could be implemented in ...

Abstract: This paper presents Adaptive Learning Rate Polak-Ribiere-Polyak Conjugate Gradient Neuro-Fuzzy (ALR-PCGNF), an advanced hybrid optimization algorithm specifically designed for training first ...

First-order derivatives: n additional function calls are needed. Second-order derivatives based on gradient calls, when the "grd" module is specified (Dennis and Schnabel 1983): n additional gradient ...

Unsupervised Federated Continual Learning (UFCL) is a new learning paradigm that embeds unsupervised representation techniques into the Federated Learning (FL) framework, which enables continuous ...