PyEPO: a PyTorch-based end-to-end predict-then-optimize library for linear and integer programming
type: Item
instance of: scholarly article
title: PyEPO: a PyTorch-based end-to-end predict-then-optimize library for linear and integer programming
author: Bo Tang
author: Elias B. Khalil
published in: Mathematical Programming Computation
publication date: 2024-11-29T00:00:00Z
Mathematics Subject Classification ID: 90Cxx
zbMATH DE Number: 7951592
zbMATH Keywords: data-driven optimization
zbMATH Keywords: mixed integer programming
zbMATH Keywords: machine learning
MaRDI profile type: Publication
cites work: Q4969074
cites work: Solution of a Large-Scale Traveling-Salesman Problem
cites work: Pyomo -- optimization modeling in Python
cites work: Q3993418
cites work: CVXGEN: a code generator for embedded convex optimization
cites work: Integer Programming Formulation of Traveling Salesman Problems
cites work: Q5396710
DOI: 10.1007/S12532-024-00255-X
description: scientific article; zbMATH DE number 7951592