Published Online:29 Oct 2025https://doi.org/10.1287/opre.2024.1137
- Cited by
- 7 February 2026 | Mathematical Programming Computation, Vol. 136

Volume 74, Issue 3
May-June 2026
Pages v-x, 1153-1728, iii-iv
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- Received:July 09, 2024
- Accepted:August 13, 2025
- Published Online:October 29, 2025
Copyright © 2025, INFORMS
Cite as
Di Hou, Tianyun Tang, Kim-Chuan Toh (2025) A Low-Rank Augmented Lagrangian Method for Doubly Nonnegative Relaxations of Mixed-Binary Quadratic Programs. Operations Research 74(3):1626-1647.
https://doi.org/10.1287/opre.2024.1137
Keywords
The authors thank the reviewers and associate editor for helpful suggestions to improve the quality of the paper.
