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Titlebook: Computational Discrete Mathematics; Advanced Lectures Helmut Alt Textbook 2001 Springer-Verlag Berlin Heidelberg 2001 Computer.Discrete mat

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書(shū)目名稱(chēng)Computational Discrete Mathematics
副標(biāo)題Advanced Lectures
編輯Helmut Alt
視頻videohttp://file.papertrans.cn/233/232246/232246.mp4
概述Includes supplementary material:
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Computational Discrete Mathematics; Advanced Lectures Helmut Alt Textbook 2001 Springer-Verlag Berlin Heidelberg 2001 Computer.Discrete mat
描述This book is based on a graduate education program on computational discrete mathematics run for several years in Berlin, Germany, as a joint effort of theoretical computer scientists and mathematicians in order to support doctoral students and advanced ongoing education in the field of discrete mathematics and algorithmics..The 12 selected lectures by leading researchers presented in this book provide recent research results and advanced topics in a coherent and consolidated way. Among the areas covered are combinatorics, graph theory, coding theory, discrete and computational geometry, optimization, and algorithmic aspects of algebra.
出版日期Textbook 2001
關(guān)鍵詞Computer; Discrete mathematics; Mapping; algorithms; coding; coding theory; combinatorics; computational al
版次1
doihttps://doi.org/10.1007/3-540-45506-X
isbn_softcover978-3-540-42775-9
isbn_ebook978-3-540-45506-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2001
The information of publication is updating

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/232246.jpg
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https://doi.org/10.1007/978-3-8349-9114-0inary nonlinear codes better than comparable binary linear codes. This connection between linear codes over . . and nonlinear binary codes was also the breakthrough in solving an old puzzle of the apparent duality between the nonlinear Kerdock and Preparata codes. We present a description of this puzzle and a brief introduction to codes over . ..
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https://doi.org/10.1007/978-3-8349-9114-0The . is defined as follows: Given a metric space . and a fixed finite subset . ? . of . “sites”, preprocess . and build a data structure so that queries of the following kind can be answered efficiently: Given a point . find one of the points . closest to . (see Figure 1).
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https://doi.org/10.1007/3-7908-1690-6A . with one check character over an alphabet . is a code . which is used to detect (but not in general to correct) single errors (i.e. errors in one component) and other errors of certain patterns (discussed below).
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