Consider two functions: f1(x, y) = (x − 2)^2 + (y − 3)^2 and f2(x, y) = (1 − (y − 3))^2 + 20((x + 3) − (y − 3)^2)^2 Starting with (x, y) = (0, 0) run the gradient descent algorithm for each function.

This repository contains Python ... Descent and Newton's Method, along with several variants. The algorithms are tested on standard benchmark functions, and their performance is analyzed and ...

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning.

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to ...

The proposed algorithm is built on our previous framework of the iteratively preconditioned gradient-descent (IPG) algorithm. IPG utilized Richardson iteration to update a preconditioner matrix that ...