Optimization-Methods-in-ML

Implementation of various optimization algorithms like steepest gradient descent, Newton's method, conjugate gradient descent, quasi-newton method, etc., in C++.

To Run

Download all the files in a single directory and run. (c++ compiler required)

Note:

--> only works with two variable Quadratic Functions.
--> To use for different Optimization functions you need to create new functions in matrix.h to support specific requirements.