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Scalable Algorithms for Data and Network Analysis

af Shang-Hua Teng

indgår i Foundations and Trends (R) in Theoretical Computer Science serien

Scalable Algorithms for Data and Network Analysis af Shang-Hua Teng
Bag om Scalable Algorithms for Data and Network Analysis

Surveys a family of algorithmic techniques for the design of scalable algorithms. These techniques include local network exploration, advanced sampling, sparsification, and geometric partitioning. They also include spectral graph-theoretical methods, such as are used for computing electrical flows and sampling from Gaussian Markov random fields.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781680831306
  • Indbinding:
  • Paperback
  • Sideantal:
  • 292
  • Udgivet:
  • 30. maj 2016
  • Størrelse:
  • 156x234x16 mm.
  • Vægt:
  • 414 g.
  • 8-11 hverdage.
  • 7. december 2024

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Surveys a family of algorithmic techniques for the design of scalable algorithms. These techniques include local network exploration, advanced sampling, sparsification, and geometric partitioning. They also include spectral graph-theoretical methods, such as are used for computing electrical flows and sampling from Gaussian Markov random fields.

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