• DocumentCode
    1150418
  • Title

    Multidimensional Height-Balanced Trees

  • Author

    Vaishnavi, Vijay K.

  • Author_Institution
    Department of Information Systems, Georgia State University
  • Issue
    4
  • fYear
    1984
  • fDate
    4/1/1984 12:00:00 AM
  • Firstpage
    334
  • Lastpage
    343
  • 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;
  • fLanguage
    English
  • Journal_Title
    Computers, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9340
  • Type

    jour

  • DOI
    10.1109/TC.1984.1676438
  • Filename
    1676438