On optimal randomized group testing with one defective item and a constrained number of positive responses

Abstract Consider the group testing problem with an input set of size n and the number of defective items being d = 1 , that allows at most y positive responses. Let A n , y denote the minimum expected number of tests required by a randomized testing strategy for this problem. The testing strategy is required to be Las Vagas, that is, guaranteed to give the correct classification of the items. Based on Yao’s minimax principle, A n , y is equal to the minimum average number of tests for a deterministic group testing strategy allowing at most y positive responses, where the average is taken over all the n possible input sets of size n with d = 1 . The main contribution of our paper is to show that A n , y is y y + 1 ( n y ! ) 1 y + O ( y ) , for 1 ≤ y ⌈ log 2 n ⌉ . This solves an open question left in Damaschke (2016).

[1]  Lawrence M. Wein,et al.  Pooled Testing for HIV Screening: Capturing the Dilution Effect , 2018, Oper. Res..

[2]  My T. Thai Group Testing Theory in Network Security: An Advanced Solution , 2011 .

[3]  Annalisa De Bonis,et al.  An Almost Optimal Algorithm for Generalized Threshold Group Testing with Inhibitors , 2011, J. Comput. Biol..

[4]  Annalisa De Bonis,et al.  Constructions of generalized superimposed codes with applications to group testing and conflict resolution in multiple access channels , 2003, Theor. Comput. Sci..

[5]  R. Dorfman The Detection of Defective Members of Large Populations , 1943 .

[6]  Richard E. Ladner,et al.  Group testing for image compression , 2002, IEEE Trans. Image Process..

[7]  Peter Damaschke Randomized Group Testing for Mutually Obscuring Defectives , 1998, Inf. Process. Lett..

[8]  Chou Hsiung Li A Sequential Method for Screening Experimental Variables , 1962 .

[9]  Annalisa De Bonis Efficient Group Testing Algorithms with a Constrained Number of Positive Responses , 2014, COCOA.

[10]  Herwig Bruneel,et al.  A queueing model for general group screening policies and dynamic item arrivals , 2010, Eur. J. Oper. Res..

[11]  Weili Wu,et al.  Non-unique probe selection and group testing , 2007, Theor. Comput. Sci..

[12]  Rajeev Motwani,et al.  Randomized Algorithms , 1995, SIGA.

[13]  Wolfgang Stadje,et al.  Applications of bulk queues to group testing models with incomplete identification , 2007, Eur. J. Oper. Res..

[14]  B S Pasternack,et al.  Application of group testing procedures in radiological health. , 1973, Health physics.

[15]  Peter Damaschke Adaptive group testing with a constrained number of positive responses improved , 2016, Discret. Appl. Math..

[16]  Siu-Ming Yiu,et al.  Non-adaptive Complex Group Testing with Multiple Positive Sets , 2011, TAMC.

[17]  L. Wein,et al.  Pooled testing for HIV prevalence estimation: exploiting the dilution effect. , 2015, Statistics in medicine.

[18]  Eberhard Triesch,et al.  Two New Perspectives on Multi-Stage Group Testing , 2013, Algorithmica.

[19]  Mingyan Liu,et al.  Efficient Sensor Fault Detection Using Combinatorial Group Testing , 2013, 2013 IEEE International Conference on Distributed Computing in Sensor Systems.

[20]  D. Du,et al.  Combinatorial Group Testing and Its Applications , 1993 .

[21]  Peter Damaschke,et al.  Overlaps help: Improved bounds for group testing with interval queries , 2007, Discret. Appl. Math..

[22]  Jack K. Wolf,et al.  Born again group testing: Multiaccess communications , 1985, IEEE Trans. Inf. Theory.

[23]  Martin Aigner Combinatorial search , 1988 .

[24]  Peter Damaschke,et al.  Optimal group testing algorithms with interval queries and their application to splice site detection , 2005, Int. J. Bioinform. Res. Appl..

[25]  Annalisa De Bonis,et al.  Optimal Algorithms for Two Group Testing Problems, and New Bounds on Generalized Superimposed Codes , 2006, IEEE Transactions on Information Theory.

[26]  Andrew Chi-Chih Yao,et al.  Probabilistic computations: Toward a unified measure of complexity , 1977, 18th Annual Symposium on Foundations of Computer Science (sfcs 1977).

[27]  Yonggang Wen,et al.  Non-Adaptive Fault Diagnosis for All-Optical Networks via Combinatorial Group Testing on Graphs , 2007, IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications.

[28]  M. Sobel,et al.  Group testing to eliminate efficiently all defectives in a binomial sample , 1959 .

[29]  D. Bohning,et al.  Group-Sequential Leak-Testing of Sealed Radium Sources , 1976 .