Infoscience

Conference paper

Derandomization and Group Testing

The rapid development of derandomization theory, which is a fundamental area in theoretical computer science, has recently led to many surprising applications outside its initial intention. We will review some recent such developments related to combinatorial group testing. In its most basic setting, the aim of group testing is to identify a set of "positive" individuals in a population of items by taking groups of items and asking whether there is a positive in each group. In particular, we will discuss explicit constructions of optimal or nearly-optimal group testing schemes using "randomness-conducting" functions. Among such developments are constructions of error-correcting group testing schemes using randomness extractors and condensers, as well as threshold group testing schemes from lossless condensers.

    Keywords: algo_misc

    Note:

    Invited Paper in Proceedings of 48th Annual Allerton Conference on Communication, Control, and Computing, 2010.

    Reference

    • EPFL-CONF-152532

    Record created on 2010-10-03, modified on 2016-08-08

Fulltext

  • There is no available fulltext. Please contact the lab or the authors.

Related material