A Convex Relaxation-Based Spatial Branching Approach for Optimal Robust Group Testing Designs Under Prevalence Rate and Dilution Behavior Uncertainty
Published Online:3 Jun 2026https://doi.org/10.1287/ijoc.2023.0465
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- Received:December 14, 2023
- Accepted:April 02, 2026
- Published Online:June 03, 2026
Copyright © 2026, INFORMS
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Su Li, Hrayer Aprahamian, Sohom Chatterjee (2026) A Convex Relaxation-Based Spatial Branching Approach for Optimal Robust Group Testing Designs Under Prevalence Rate and Dilution Behavior Uncertainty. INFORMS Journal on Computing 0(0).
https://doi.org/10.1287/ijoc.2023.0465
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The authors are grateful to the area editor, the associate editor, and two anonymous referees for valuable comments on an earlier version of the paper. Disclaimer: Any opinion, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
