Implementation of nonlinear Optimization Algorithms in Python

A matlab function for steepest descent optimization using Quasi Newton's method : BGFS & DFP

Repository for project report of numerical analysis course assignment in Faculty of Computer Science UI

An implementation of binary classification for distinguishing between the digits 0/1 and 8/9. Cost function minimization was applied using Gradient Descent and the Exact Newton methods.

This repository contains an implementation of the Gradient Descent Algorithm in C++, utilizing the Armijo condition to optimize step sizes.

some option technics within python and R

This repo contain implementation of Steepest Descent algorithm using inexact line search and Newton's method on Functions like Tried Function, Three Hump Camel, Styblinski-Tang Function, Rosenbrock Function, etc.