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eBook Lecture Notes on Bucket Algorithms epub

by DEVROYE

eBook Lecture Notes on Bucket Algorithms epub
  • ISBN: 0817633286
  • Author: DEVROYE
  • Genre: Techno
  • Subcategory: Programming
  • Language: English
  • Publisher: Birkhäuser; 1986 edition (February 28, 1986)
  • Pages: 148 pages
  • ePUB size: 1517 kb
  • FB2 size 1474 kb
  • Formats lit lrf mbr azw


price for USA in USD (gross). Bibliographic Information. Lecture Notes on Bucket Algorithms.

price for USA in USD (gross). ISBN 978-1-4899-3531-1. Digitally watermarked, DRM-free. Included format: PDF. ebooks can be used on all reading devices. Immediate eBook download after purchase. Progress in Computer Science and Applied Logic.

Bucket algorithms operate on raw untransformed data which are parti­ tioned Into groups according to membership In equl-slzed d-dlmenslonal hyperrec­ tangles.

Description: In these lecture notes, we attempt to explain the connection between the expected time of various bucket algorithms and the distribution of the data

Description: In these lecture notes, we attempt to explain the connection between the expected time of various bucket algorithms and the distribution of the data.

Bucket algorithms operate on raw untransformed data which are parti tioned Into groups according to membership In equl-slzed d-dlmenslonal hyperrec tangles, called cells or buckets. The bucket data structure Is rather sensitive to the distribution of the data. In these lecture notes, we attempt to explain the connection between the expected time of various bucket algorithms and the dis tribution of the data. Springer Science & Business Media, 21 нояб.

Devroye, Luc. der Deuts&en Bibliothek. Devroye, Luc: Lecture notes on bucket algorithms, Luc Devroye. Boston ; Base1 ; Stuttgart : Birkhauser, 1985. Progress in computer science ; no. 6). Bibliography: p. Includes index. ata structures (Computer science) 2. Algorithms. 1. itle: Bucket algorithms. Note: 1986. Subject: Data structures (Computer science). Subject: Computer algorithms.

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oceedings{, title {Lecture Notes on Bucket Algorithms}, author {Luc Devroye}, booktitle .

oceedings{, title {Lecture Notes on Bucket Algorithms}, author {Luc Devroye}, booktitle {Progress in Computer Science}, year {1986} }. Luc Devroye. Bucket algorithms operate on raw untransformed data which are parti- tioned Into groups according to membership In equl-slzed d-dlmenslonal hyperrec- tangles, called cells or buckets. In these lecture notes, we attempt to explain the connection between the expected time of various bucket algorithms and the dis- tribution of the data.

Hashing algorithms scramble data and create pseudo-uniform data distribu­ tions. Bucket algorithms operate on raw untransformed data which are parti­ tioned Into groups according to membership In equl-slzed d-dlmenslonal hyperrec­ tangles, called cells or buckets. The bucket data structure Is rather sensitive to the distribution of the data. In these lecture notes, we attempt to explain the connection between the expected time of various bucket algorithms and the dis­ tribution of the data. The results are Illustrated on standard searching, sorting and selection problems, as well as on a variety of problems In computational geometry and operations research. The notes grew partially from a graduate course on probability theory In computer science. I wish to thank Elizabeth Van Gulick for her help with the manuscript, and David Avis, Hanna AYukawa, Vasek Chvatal, Beatrice Devroye, Hossam EI Glndy, Duncan McCallum, Magda McCallum, Godfrled Toussaint and Sue Whltesldes"for making the School of Computer Science at McGill University such an enjoyable place. The work was supported by NSERC Grant A3456 and by FCAC Grant EQ-1679. INTRODUCTION 1 INTRODUCTION It Is not a secret that methods based upon the truncation of data have good expected time performance. For example, for nice distributions of the data, searching Is often better done via a hashing data structure Instead of via a search tree. The speed one observes In practice Is due to the fact that the truncation operation Is a constant time operation.
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