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

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Authors: Li Su, Hrayer Aprahamian, Sohom Chatterjee
Cited by: 1

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