Using Additional Information in Streaming Algorithms

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Streaming problems are algorithmic problems that are mainly characterized by their massive input streams. Because of these data streams, the algorithms for these problems are forced to be space-efficient, as the input stream length generally exceeds the available storage. The goal of this study is to analyze the impact of additional information (more specifically, a hypothesis of the solution) on ...
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Streaming problems are algorithmic problems that are mainly characterized by their massive input streams. Because of these data streams, the algorithms for these problems are forced to be space-efficient, as the input stream length generally exceeds the available storage. The goal of this study is to analyze the impact of additional information (more specifically, a hypothesis of the solution) on ...
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Details

  • ISBN: 9783960675945
  • Seitenzahl: 127
  • Kopierschutz: Kein
  • Erscheinungsdatum: 08.12.2016
  • Verlag: ANCHOR ACADEMIC PUBLISHING
  • Sprache: Englisch
  • Formate: pdf