Infeasibility Detection with Primal-Dual Hybrid Gradient for Large-Scale Linear Programming
Author:
Affiliation:
1. Google Research.
2. Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD 21218 USA.
3. Booth School of Business, University of Chicago, Chicago, IL 60637 USA, and Google Research.
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Reference54 articles.
1. Conflict analysis in mixed integer programming
2. On the minimal displacement vector of the Douglas–Rachford operator
3. Infeasibility Detection in the Alternating Direction Method of Multipliers for Convex Optimization
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