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An Introduction to Kolmogorov Complexity and Its Applications (Texts in Computer Science) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

An Introduction to Kolmogorov Complexity and Its Applications (Texts in Computer Science)
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简体网页||繁体网页
Ming Li 作者
Springer
译者
1997-02-27 出版日期
657 页数
USD 84.95 价格
Hardcover
Texts in Computer Science 丛书系列
9780387948683 图书编码

An Introduction to Kolmogorov Complexity and Its Applications (Texts in Computer Science) 在线电子书 图书标签: 数学  Complexity  Kolmogorov  计算机科学  计算机  kolmogorov  Math  经典   

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An Introduction to Kolmogorov Complexity and Its Applications (Texts in Computer Science) 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

An Introduction to Kolmogorov Complexity and Its Applications (Texts in Computer Science) 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

An Introduction to Kolmogorov Complexity and Its Applications (Texts in Computer Science) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


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An Introduction to Kolmogorov Complexity and Its Applications (Texts in Computer Science) 在线电子书 著者简介

李明，http://www.cs.uwaterloo.ca/~mli/），加拿大计算生物学（生物信息学）学会主席，现任加拿大滑铁卢大学计算机系教授。

Paul Vitanyi，（http://homepages.cwi.nl/~paulv/），荷兰阿姆斯特丹大学计算机系教授。

An Introduction to Kolmogorov Complexity and Its Applications (Texts in Computer Science) 在线电子书 图书目录

An Introduction to Kolmogorov Complexity and Its Applications (Texts in Computer Science) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

An Introduction to Kolmogorov Complexity and Its Applications (Texts in Computer Science) 在线电子书 图书描述

"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 their applications of Kolmogorov complexity. the book presents a thorough treatment of the subject with a wide range of illsutrative applications. Such applications include the randomeness of finite objects or infinite sequences, Martin-Loef tests for randomness, information theory, computationla 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 himnts to solutions of problems. In this new edition the authors have added new material on circuit theory, distributed algorithms, data compression, and other topics.

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