Welcome to this dedicated series on Group Testing (Pooled Testing)!

This series is designed along a structured pedagogical progression from foundational principles to advanced paradigms, bridging mathematical analysis, discrete combinatorics, information theory, and contemporary decoding algorithms:

  1. Article 1: Overview and the Classical Dorfman Pooling Model
  2. Article 2: Adaptive Group Testing and Hwang’s Binary Splitting Algorithm
  3. Article 3: Non-Adaptive Group Testing and Disjunct Matrices
  4. Article 4: Decoding Algorithms for NAGT — COMP, SCOMP, and Definite Defectives (DD)
  5. Article 5: Noisy Group Testing and Probabilistic Recovery
  6. Article 6: Connections to Compressed Sensing, Coding Theory, and Modern Applications