Weighted Matching in the Semi-Streaming Model

  • Authors:
  • Mariano Zelke

  • Affiliations:
  • Goethe-Universität, Institut für Informatik, 60054, Frankfurt am Main, Germany

  • Venue:
  • Algorithmica
  • Year:
  • 2012

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Abstract

We present an approximation algorithm to find a weighted matching of a graph in the one-pass semi-streaming model. The semi-streaming model forbids random access to the input graph and restricts the memory to ${\mathcal{O}}(n\cdot\operatorname{polylog}n)$ bits where n denotes the number of the vertices of the input graph. We obtain an approximation ratio of 5.58 while the previously best algorithm achieves a ratio of 5.82.