Title :
Multidimensional Height-Balanced Trees
Author :
Vaishnavi, Vijay K.
Author_Institution :
Department of Information Systems, Georgia State University
fDate :
4/1/1984 12:00:00 AM
Abstract :
A new multidimensional balanced tree structure is presented for the efficient management of multidimensional data. It is shown that the data structure can be used to manage a set of n k-dimensional records or data items such that the records can be searched or updated in O(log2 n) + k time, which is optimal. The data structure is a multidimensional generalization of the height-balanced trees and retains much of their simplicity and efficiency. The insertion algorithm, in particular, retains a very important property of the height-balanced trees: an insertion of a record results in the application of a restructuring operation at most once.
Keywords :
Computational geometry; dynamic databases; height-balanced trees; information storage and retrieval; multidimensional algorithms; multidimensional balanced tree structures; multidimensional data structures; Computational geometry; Councils; Data analysis; Data structures; Information retrieval; Memory management; Multidimensional systems; Spatial databases; Testing; Tree data structures; Computational geometry; dynamic databases; height-balanced trees; information storage and retrieval; multidimensional algorithms; multidimensional balanced tree structures; multidimensional data structures;
Journal_Title :
Computers, IEEE Transactions on
DOI :
10.1109/TC.1984.1676438