A Unified Pytorch Optimizer for Numerical Optimization
-
Updated
Jul 23, 2022 - Python
A Unified Pytorch Optimizer for Numerical Optimization
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
This is the official code for the AISTATS 2023 paper "Learning Constrained Structured Spaces with Application to Multi-Graph Matching"
Add a description, image, and links to the penalty-method topic page so that developers can more easily learn about it.
To associate your repository with the penalty-method topic, visit your repo's landing page and select "manage topics."