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Titlebook: Deterministic Extraction from Weak Random Sources; Ariel Gabizon Book 2011 Springer-Verlag Berlin Heidelberg 2011 Affine sources.Derandomi

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發(fā)表于 2025-3-21 18:35:47 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Deterministic Extraction from Weak Random Sources
編輯Ariel Gabizon
視頻videohttp://file.papertrans.cn/270/269337/269337.mp4
概述First complete treatment of the topic.Introduces new results.Results introduced will impact on various disciplines.Includes supplementary material:
叢書(shū)名稱(chēng)Monographs in Theoretical Computer Science. An EATCS Series
圖書(shū)封面Titlebook: Deterministic Extraction from Weak Random Sources; Ariel Gabizon Book 2011 Springer-Verlag Berlin Heidelberg 2011 Affine sources.Derandomi
描述A deterministic extractor is a function that extracts almost perfect random bits from a weak random source. In this research monograph the author constructs deterministic extractors for several types of sources. A basic theme in this work is a methodology of recycling randomness which enables increasing the output length of deterministic extractors to near optimal length.The author‘s main work examines deterministic extractors for bit-fixing sources, deterministic extractors for affine sources and polynomial sources over large fields, and increasing the output length of zero-error dispersers.This work will be of interest to researchers and graduate students in combinatorics and theoretical computer science.
出版日期Book 2011
關(guān)鍵詞Affine sources; Derandomization; Deterministic extractors; Dispersers; Randomness extractors; Recycling r
版次1
doihttps://doi.org/10.1007/978-3-642-14903-0
isbn_softcover978-3-642-26538-9
isbn_ebook978-3-642-14903-0Series ISSN 1431-2654 Series E-ISSN 2193-2069
issn_series 1431-2654
copyrightSpringer-Verlag Berlin Heidelberg 2011
The information of publication is updating

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發(fā)表于 2025-3-21 21:43:40 | 只看該作者
Increasing the Output Length of Zero-Error Dispersers, improve the output length of zero-error dispersers (namely, to transform a disperser with short output length into one with large output length). This strategy works for several classes of sources and is inspired by the transformation that improves the output length of extractors used in previous c
板凳
發(fā)表于 2025-3-22 03:28:35 | 只看該作者
1431-2654 ersers.This work will be of interest to researchers and graduate students in combinatorics and theoretical computer science.978-3-642-26538-9978-3-642-14903-0Series ISSN 1431-2654 Series E-ISSN 2193-2069
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Hui Sun,Chin-Yu Yang,Ajith Abraham improve the output length of zero-error dispersers (namely, to transform a disperser with short output length into one with large output length). This strategy works for several classes of sources and is inspired by the transformation that improves the output length of extractors used in previous c
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發(fā)表于 2025-3-22 14:09:27 | 只看該作者
Deterministic Extractors for Bit-Fixing Sources by Obtaining an Independent Seed,
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Monographs in Theoretical Computer Science. An EATCS Serieshttp://image.papertrans.cn/d/image/269337.jpg
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A New Conceptual Model for Big Data Analysisto extractors and a sketch of the techniques and results of this work. We begin in Section 1.2 with what may be called the ‘classical motivation’ for extractors. Section 1.3 describes other motivations for deterministic extractors. In Section 1.4 we describe some of the main techniques used in this
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