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Springer - Algorithmic Randomness and Complexity: 0 Book

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Description

Explore the deep connections between randomness and computational power in Algorithmic Randomness and Complexity: 0. Published by Springer as part of the Theory and Applications of Computability series, this text addresses fundamental questions regarding mathematical intuition and statistical probability. It examines why certain sequences appear non-random while remaining statistically likely, and investigates what it means for an individual mathematical object, such as a real number, to be classified as random. By utilizing tools from computability theory and algorithmic information theory, this book provides a rigorous framework for understanding how one real number can be more random than another. It is an essential resource for those studying mathematical logic and the theoretical foundations of information and computation.

Key Features

This Springer publication is part of the Theory and Applications of Computability series.

The text uses tools from computability theory and algorithmic information theory to address mathematical questions.

It examines the relationship between randomness and computational power in mathematical objects.

The book provides analysis on why specific sequences appear random compared to others through a mathematical lens.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
05 November 2010
Listed Since
28 December 2006

Barcode

No barcode data available

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