Randomness extraction in computability theory
نویسندگان
چکیده
In this article, we study a notion of the extraction rate Turing functionals that translate between notions randomness with respect to different underlying probability measures. We analyze several classes procedures: (1) class generalizes von Neumann’s trick for extracting unbiased from tosses biased coin, (2) based on work by Knuth and Yao (which more properly can be characterized as randomness), (3) independently developed Levin Kautz data compression technique arithmetic coding. For first two procedures, identify level algorithmic an input guarantees attain along input, while third class, calculate attained sufficiently random sequences.
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ژورنال
عنوان ژورنال: Computability
سال: 2023
ISSN: ['2211-3576', '2211-3568']
DOI: https://doi.org/10.3233/com-210343