Computer Science/Discrete Mathematics Seminar II

Randomness Extraction: A Survey

A randomness extractor is an efficient algorithm which extracts high-quality randomness from a low-quality random source. Randomness extractors have important applications in a wide variety of areas, including pseudorandomness, cryptography, expander graphs, coding theory, and inapproximability. In this talk, we survey the field of randomness extraction and discuss connections with other areas.

Date & Time

February 07, 2012 | 10:30am – 12:30pm

Location

S-101

Affiliation

University of Texas at Austin; Member, School of Mathematics