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Springer - Kolmogorov Complexity and Its Applications Book

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Description

Explore the fundamental principles of information science with this fourth edition of An Introduction to Kolmogorov Complexity and Its Applications. Published by Springer as part of the Texts in Computer Science series, this textbook provides an essential guide to Kolmogorov complexity (KC). The text examines how to measure the quantity of information within individual objects, offering both theoretical foundations and practical applications. This thoroughly revised edition includes updated material on the Miller-Yu theorem, the Gacs-Kucera theorem, and the Day-Gacs theorem. It also covers topics such as increasing randomness and short lists computable from an input string. With a wealth of didactic features, this book serves as a powerful tool for students and professionals studying applied mathematics and information theory.

Key Features

This Springer textbook provides an essential introduction to Kolmogorov complexity (KC) for information science studies.

The fourth edition includes updated material on the Miller-Yu, Gacs-Kucera, and Day-Gacs theorems.

Learn about practical applications and fundamental concepts through a wealth of didactic features included in the text.

The content covers specialized topics such as increasing randomness and short lists computable from an input string.

This book is part of the professional Texts in Computer Science series for applied mathematics students.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
26 June 2019
Listed Since
07 December 2018

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