Result: Improved combinatorial group testing for real-world problem sizes

Title:
Improved combinatorial group testing for real-world problem sizes
Source:
Algorithms and data structurese (Waterloo ON, 15-17 August 2005)Lecture notes in computer science. :86-98
Publisher Information:
Berlin: Springer, 2005.
Publication Year:
2005
Physical Description:
print, 13 ref
Original Material:
INIST-CNRS
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Dept. of Computer Science, Univ. of California, Irvine, CA 92697-3425, United States
ISSN:
0302-9743
Rights:
Copyright 2005 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.17116046
Database:
PASCAL Archive

Further Information

We study practically efficient methods for performing combinatorial group testing. We present efficient non-adaptive and two-stage combinatorial group testing algorithms, which identify the at most d items out of a given set of n items that are defective, using fewer tests for all practical set sizes. For example, our two-stage algorithm matches the information theoretic lower bound for the number of tests in a combinatorial group testing regimen.