Fixed Partial Match Queries in Quadtrees

Authors Amalia Duch , Gustavo Lau , Conrado Martínez



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Author Details

Amalia Duch
  • Universitat Politècnica de Catalunya
Gustavo Lau
  • Universitat Politècnica de Catalunya
Conrado Martínez
  • Universitat Politècnica de Catalunya

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Amalia Duch, Gustavo Lau, and Conrado Martínez. Fixed Partial Match Queries in Quadtrees. In 29th International Conference on Probabilistic, Combinatorial and Asymptotic Methods for the Analysis of Algorithms (AofA 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 110, pp. 20:1-20:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)
https://doi.org/10.4230/LIPIcs.AofA.2018.20

Abstract

Several recent papers in the literature have addressed the analysis of the cost P_{n,q} of partial match search for a given fixed query q - that has s out of K specified coordinates - in different multidimensional data structures. Indeed, detailed asymptotic estimates for the main term in the expected cost P_{n,q} = E {P_{n,q}} in standard and relaxed K-d trees are known (for any dimension K and any number s of specified coordinates), as well as stronger distributional results on P_{n,q} for standard 2-d trees and 2-dimensional quadtrees. In this work we derive a precise asymptotic estimate for the main order term of P_{n,q} in quadtrees, for any values of K and s, 0 < s < K, under the assumption that the limit of P_{n,q}/n^alpha when n -> infty exists, where alpha is the exponent of n in the expected cost of a random partial match query with s specified coordinates in a random K-dimensional quadtree.

Subject Classification

ACM Subject Classification
  • Theory of computation → Data structures design and analysis
  • Theory of computation → Design and analysis of algorithms
Keywords
  • Quadtree
  • Partial match queries
  • Associative queries
  • Multidimensional search
  • Analysis of algorithms

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References

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