This repository contains a MATLAB implementation of the Gradient Descent algorithm to minimize a simple quadratic function. The function being minimized is ( f(x) = (x - 3)^2 ), with its minimum ...

Evaluate the Lagrangian gradient at the new point. Calculate the difference in x and in the Lagrangrian gradient, γ. Update the Lagrangian Hessian using the BFGS update. Return to Step 1 until ∆x is ...

Abstract: In this paper, we evaluate the different fully homomorphic encryption schemes, propose an implementation, and numerically analyze the applicability of gradient descent algorithms to solve ...

Online Learning Rate Adaptation with Hypergradient Descent: We introduce a general method for improving the convergence rate of gradient-based optimizers that is easy to implement and works well in ...