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Associative Parallel Algorithms for Dynamic Edge Update of Minimum Spanning Trees

  • Anna S. Nepomniaschaya
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2763)

Abstract

In this paper we propose two associative parallel algorithms for the edge update of a minimum spanning tree when an edge is deleted or inserted in the underlying graph. These algorithms are represented as the corresponding procedures implemented on a model of associative parallel systems of the SIMD type with vertical data processing (the STAR–machine). We justify correctness of these procedures and evaluate their time complexity.

Keywords

Undirected Graph Minimum Span Tree Tree Path Underlying Graph Tree Edge 
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 2003

Authors and Affiliations

  • Anna S. Nepomniaschaya
    • 1
  1. 1.Institute of Computational Mathematics and Mathematical GeophysicsSiberian Division of Russian Academy of SciencesNovosibirskRussia

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