Code and Data Repository for A Convex Relaxation-based Spatial Branching Approach for Optimal Robust Group Testing Designs under Prevalence Rate and Dilution Behavior Uncertainty
Abstract
The software and data in this repository are a snapshot of the software and data that were used in the research reported on in the paper A Convex Relaxation-based Spatial Branching Approach for Optimal Robust Group Testing Designs under Prevalence Rate and Dilution Behavior Uncertainty by S. Li, H. Aprahamian, and S. Chatterjee.
Fields of Study & Subjects
SARS-CoV-2 detection and testing
Advanced Statistical Process Monitoring
Statistical Methods in Clinical Trials
Publication details
- Journal / source
- INFORMS journal on computing
- Publisher
- Institute for Operations Research and the Management Sciences (INFORMS)
- Publication date
- 8 May 2026