An Introduction to Kolmogorov Complexity and Its Applications 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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Ming Li 作者

Springer

譯者

2008-11-21 出版日期

792 頁數

USD 84.95 價格

Hardcover

叢書系列

9780387339986 圖書編碼

An Introduction to Kolmogorov Complexity and Its Applications 在線電子書圖書標籤: Math Information_Theory 計算機數學教材復雜性 Kolmogorov_Complexity CS

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發表於2024-11-22

An Introduction to Kolmogorov Complexity and Its Applications 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

An Introduction to Kolmogorov Complexity and Its Applications 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

An Introduction to Kolmogorov Complexity and Its Applications 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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An Introduction to Kolmogorov Complexity and Its Applications 在線電子書著者簡介

李明，http://www.cs.uwaterloo.ca/~mli/），加拿大計算生物學（生物信息學）學會主席，現任加拿大滑鐵盧大學計算機係教授。

Paul Vitanyi，（http://homepages.cwi.nl/~paulv/），荷蘭阿姆斯特丹大學計算機係教授。

An Introduction to Kolmogorov Complexity and Its Applications 在線電子書著者簡介

An Introduction to Kolmogorov Complexity and Its Applications 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

An Introduction to Kolmogorov Complexity and Its Applications 在線電子書圖書描述

'The book is outstanding and admirable in many respects ...is necessary reading for all kinds of readers from undergraduate students to top authorities in the field' - "Journal of Symbolic Logic". Written by two experts in the field, this is the only comprehensive and unified treatment of the central ideas and applications of Kolmogorov complexity. The book presents a thorough treatment of the subject with a wide range of illustrative applications. Such applications include the randomness of finite objects or infinite sequences, Martin-Loef tests for randomness, information theory, computational learning theory, the complexity of algorithms, and the thermodynamics of computing. It will be ideal for advanced undergraduate students, graduate students, and researchers in computer science, mathematics, cognitive sciences, philosophy, artificial intelligence, statistics, and physics. The book is self-contained in that it contains the basic requirements from mathematics and computer science. Included are also numerous problem sets, comments, source references, and hints to solutions of problems. New topics in this edition include Omega numbers, Kolmogorov-Loveland randomness, universal learning, communication complexity, Kolmogorov's random graphs, time-limited universal distribution, Shannon information and others.

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