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Titlebook: Number Theory for Computing; Song Y. Yan Textbook 20001st edition Springer-Verlag Berlin Heidelberg 2000 Notation.algorithmic number theor

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書目名稱Number Theory for Computing
編輯Song Y. Yan
視頻videohttp://file.papertrans.cn/669/668880/668880.mp4
概述A good introduction to classical and modern number theory and its applications in computer science Self-contained source on number theory for computing professionals Useful for self-study or as class
圖書封面Titlebook: Number Theory for Computing;  Song Y. Yan Textbook 20001st edition Springer-Verlag Berlin Heidelberg 2000 Notation.algorithmic number theor
描述Mathematicians do not study objects, but relations among objectsj they are indifferent to the replacement of objects by others as long as relations do not change. Matter is not important, only form interests them. HENRI POINCARE (1854-1912) Computer scientists working on algorithms for factorization would be well advised to brush up on their number theory. IAN STEWART [219] The theory of numbers, in mathematics, is primarily the theory of the prop- erties of integers (i.e., the whole numbers), particularly the positive integers. For example, Euclid proved 2000 years aga in his Elements that there exist infinitely many prime numbers. The subject has long been considered as the purest branch of mathematics, with very few applications to other areas. How- ever, recent years have seen considerable increase in interest in several central topics of number theory, precisely because of their importance and applica- tions in other areas, particularly in computing and information technology.
出版日期Textbook 20001st edition
關(guān)鍵詞Notation; algorithmic number theory; arithmetic functions; computational number theory; cryptography; cry
版次1
doihttps://doi.org/10.1007/978-3-662-04053-9
isbn_ebook978-3-662-04053-9
copyrightSpringer-Verlag Berlin Heidelberg 2000
The information of publication is updating

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Song Y. YanA good introduction to classical and modern number theory and its applications in computer science Self-contained source on number theory for computing professionals Useful for self-study or as class
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