Skip to content

Latest commit

 

History

History
12 lines (8 loc) · 407 Bytes

File metadata and controls

12 lines (8 loc) · 407 Bytes

Nonlinear Optimization

This repository contains Python implementations of several algorithms studied in a nonlinear optimization course during my master's program.

The goal of the project is to understand and implement classical optimization methods used for minimizing nonlinear functions.

Implemented Algorithms

  • Newton Method
  • Steepest Descent
  • Conjugate Gradient Method
  • Armijo Line Search