Title
Priority Range Trees
Abstract
We describe a data structure, called a priority range tree, which accommodates fast orthogonal range reporting queries on prioritized points. Let S be a set of n points in the plane, where each point p in S is assigned a weight w(p) that is polynomial in n, and define the rank of p to be r(p) = left perpendicularlog w(p)right perpendicular . Then the priority range tree can be used to report all points in a three- or four-sided query range R with rank at least left perpendicularlog wright perpendicular in time O(log W/w + k), and report k highest-rank points in R in time O(loglogn + log W/w' + k), where W = Sigma(p is an element of S) w(P), w' is the smallest weight of any point reported, and k is the output size. All times assume the standard RAM model of computation. If the query range of interest is three sided, then the priority range tree occupies O(n) space, otherwise O(n log n) space is used to answer four-sided queries. These queries are motivated by the Weber-Fechner Law, which states that humans perceive and interpret data on a logarithmic scale.
Year
DOI
Venue
2010
10.1007/978-3-642-17517-6_11
ALGORITHMS AND COMPUTATION, PT I
Keywords
DocType
Volume
computational geometry,data structure,model of computation
Journal
6506
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
16
2
Name
Order
Citations
PageRank
Michael T. Goodrich14351331.47
Darren Strash223817.72