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Discrepancy-Sensitive Dynamic Fractional Cascading, Dominated Maxima Searching, and 2-d Nearest Neighbors in Any Minkowski Metric

  • Mikhail J. Atallah
  • Marina Blanton
  • Michael T. Goodrich
  • Stanislas Polu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4619)

Abstract

This paper studies a discrepancy-sensitive approach to dynamic fractional cascading. We provide an efficient data structure for dominated maxima searching in a dynamic set of points in the plane, which in turn leads to an efficient dynamic data structure that can answer queries for nearest neighbors using any Minkowski metric.

Keywords

Query Point Expected Time Range Tree Dynamic Data Structure Amortize Time 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Mikhail J. Atallah
    • 1
  • Marina Blanton
    • 1
  • Michael T. Goodrich
    • 2
  • Stanislas Polu
    • 3
  1. 1.Dept. of Computer Sciences, Purdue Univ. 
  2. 2.Dept. of Computer Science, Univ. of California, Irvine 
  3. 3.École Polytechnique 

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