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
Randomness and Complexity
Language: en
Pages: 466
Authors: Cristian Calude
Categories: Science
Type: BOOK - Published: 2007 - Publisher: World Scientific

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The book is a collection of papers written by a selection of eminent authors from around the world in honour of Gregory Chaitin's 60th birthday. This is a uniqu
An Introduction to Kolmogorov Complexity and Its Applications
Language: en
Pages: 655
Authors: Ming Li
Categories: Mathematics
Type: BOOK - Published: 2013-03-09 - Publisher: Springer Science & Business Media

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Briefly, we review the basic elements of computability theory and prob ability theory that are required. Finally, in order to place the subject in the appropria
Complexity and Randomness in Group Theory
Language: en
Pages: 386
Authors: Frédérique Bassino
Categories: Mathematics
Type: BOOK - Published: 2020-06-08 - Publisher: Walter de Gruyter GmbH & Co KG

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This book shows new directions in group theory motivated by computer science. It reflects the transition from geometric group theory to group theory of the 21st
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