e/Disperser

Information
has gloss	eng: A disperser is a one-sided extractor. Where an extractor requires that every event gets the same probability under the uniform distribution and the extracted distribution, only the latter is required for a disperser. So for a disperser, an event A \subseteq \0,1\}^m} we have: Pr_U_m}}[A] > 1 - \epsilon
lexicalization	eng: disperser
instance of	c/Graph families