Lecture Notes on Bucket Algorithms

Devroye, Luc

ISBN 10: 0817633286 / ISBN 13: 9780817633288

Published by Birkhauser, 1986

About this Item

Birkhauser, 1986. Cover rubbed/bumped, lightly soiled, corners/edges/spine ends lightly rubbed/bumped, spine quite sunned; very light pencil erasures at ffep; binding tight; edges and interior intact and clean, except where noted. hardcover. Good. Seller Inventory # 606733

Bibliographic Details

Title: Lecture Notes on Bucket Algorithms

Publisher: Birkhauser

Publication Date: 1986

Binding: Hardcover

Condition: Good

About this title

Synopsis:

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.