PyTorch optimizer based on nonlinear conjugate gradient method
-
Updated
May 1, 2024 - Python
PyTorch optimizer based on nonlinear conjugate gradient method
keywords: nonlinear optimization, pattern search, augmented lagrangian, karush-kuhn-tucker, constrained optimization, conjugate gradient methods, quasi newton methods, line search descent methods, onedimensional and multidimensional optimazation
A python package that extends PyTorch by providing Conjugate Gradient optimization algorithms.
C++ implementation of the Fletcher-Reeves method
An application for visualizing and comparing the work of multidimensional optimization methods with using derivative of the objective function: Gradient Descent Method, Newton Method, Fletcher-Reeves Method.
Add a description, image, and links to the fletcher-reeves topic page so that developers can more easily learn about it.
To associate your repository with the fletcher-reeves topic, visit your repo's landing page and select "manage topics."