Title :
Computing Point Enclosures
Author :
Vaishnavi, Vijay K.
Author_Institution :
Department of Information Systems, Georgia State University
Abstract :
Given a set of n rectangles in the plane, the point enclosure query is the question to determine for any point p which rectangles of the set it is contained in. It is the "dual" of the well-known range query in computational geometry. It is shown that the point enclosure query in the plane can be answered in 0(log n + k) time, where k is the number of rectangles reported. The solution makes use of a new data structure, called the S-tree. The data structure can be generalized to obtain an efficient algorithm for the point enclosure problem in d-dimensional space d ≥ 2.
Keywords :
Augmented segment trees; S-trees; VLSI artwork analysis; databases; dual range queries; inverse range queries; multilayered segment trees; point enclosure queries; segment trees; Application software; Computational complexity; Computational geometry; Computer graphics; Data structures; Information systems; Instruments; Spatial databases; Tree graphs; Very large scale integration; Augmented segment trees; S-trees; VLSI artwork analysis; databases; dual range queries; inverse range queries; multilayered segment trees; point enclosure queries; segment trees;
Journal_Title :
Computers, IEEE Transactions on
DOI :
10.1109/TC.1982.1675881