Nonlinear conjugate gradient method

The Nonlinear Conjugate Gradient (CG) method is an iterative optimization algorithm used to minimize nonlinear functions. It is particularly useful for large-scale optimization problems because it does not require the computation of second derivatives, making it more efficient than methods like Newton's method. ### Key Features: 1. **Purpose**: The primary purpose of the Nonlinear CG method is to find the local minimum of a nonlinear function. It is commonly applied in various fields, including machine learning and scientific computing.