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Linear Heap Data Structures

  • Lijun Chang
  • Lu Qin
Chapter
Part of the Springer Series in the Data Sciences book series (SSDS)

Abstract

In this chapter, we present linear heap data structures that will be useful in the remainder of the book for designing algorithms to efficiently process large sparse graphs.

References

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    Lijun Chang, Jeffrey Xu Yu, Lu Qin, Xuemin Lin, Chengfei Liu, and Weifa Liang. Efficiently computing k-edge connected components via graph decomposition. In Proc. SIGMOD’13, pages 205–216, 2013.Google Scholar
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    Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein. Introduction to Algorithms (3. ed.). MIT Press, 2009.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Lijun Chang
    • 1
  • Lu Qin
    • 2
  1. 1.School of Computer ScienceThe University of SydneySydneyAustralia
  2. 2.Centre for Artificial IntelligenceUniversity of Technology SydneySydneyAustralia

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