Average-case analysis of rectangle packings

Document Type

Conference Proceeding

Publication Date

12-1-2000

Abstract

We study the average-case behavior of algorithms for finding a maximal disjoint subset of a given set of rectangles. In the probability model, a random rectangle is the product of two independent random intervals, each being the interval between two points drawn uniformly at random from [0, 1]. We have proved that the expected cardinality of a maximal disjoint subset of n random rectangles has the tight asymptotic bound θ(n1/2). Although tight bounds for the problem generalized to d > 2 dimensions remain an open problem, we have been able to show that ω(n1/2) and O((n logd-1 n)1/2) are asymptotic lower and upper bounds. In addition, we can prove that θ(nd/(d+1)) is a tight asymptotic bound for the case of random cubes. © Springer-Verlag Berlin Heidelberg 2000.

Identifier

84896754274 (Scopus)

ISBN

[3540673067, 9783540673064]

Publication Title

Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics

External Full Text Location

https://doi.org/10.1007/10719839_30

e-ISSN

16113349

ISSN

03029743

First Page

292

Last Page

297

Volume

1776 LNCS

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