Algorithmic Randomness and Complexity

Algorithmic Randomness and Complexity
Author: Rodney G. Downey
Publisher: Springer Science & Business Media
Total Pages: 883
Release: 2010-10-29
Genre: Computers
ISBN: 0387684417

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Computability and complexity theory are two central areas of research in theoretical computer science. This book provides a systematic, technical development of "algorithmic randomness" and complexity for scientists from diverse fields.


Algorithmic Randomness and Complexity
Language: en
Pages: 883
Authors: Rodney G. Downey
Categories: Computers
Type: BOOK - Published: 2010-10-29 - Publisher: Springer Science & Business Media

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Computability and complexity theory are two central areas of research in theoretical computer science. This book provides a systematic, technical development of
Algorithmic Randomness
Language: en
Pages: 371
Authors: Johanna N. Y. Franklin
Categories: Mathematics
Type: BOOK - Published: 2020-05-07 - Publisher: Cambridge University Press

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The last two decades have seen a wave of exciting new developments in the theory of algorithmic randomness and its applications to other areas of mathematics. T
Algorithmic Learning in a Random World
Language: en
Pages: 344
Authors: Vladimir Vovk
Categories: Computers
Type: BOOK - Published: 2005-03-22 - Publisher: Springer Science & Business Media

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Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to Kolmogorov's algorith
Kolmogorov Complexity and Algorithmic Randomness
Language: en
Pages: 534
Authors: A. Shen
Categories: Computers
Type: BOOK - Published: 2017-11-02 - Publisher: American Mathematical Soc.

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Looking at a sequence of zeros and ones, we often feel that it is not random, that is, it is not plausible as an outcome of fair coin tossing. Why? The answer i
Kolmogorov Complexity and Algorithmic Randomness
Language: en
Pages: 511
Authors: A. Shen
Categories: Mathematics
Type: BOOK - Published: 2022-05-18 - Publisher: American Mathematical Society

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Looking at a sequence of zeros and ones, we often feel that it is not random, that is, it is not plausible as an outcome of fair coin tossing. Why? The answer i