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  5. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

af Stephen Boyd, Jonathan Eckstein, Neal Parikh, Eric Chu, Borja Peleato

indgår i Foundations and Trends (R) in Machine Learning serien

Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers af Stephen Boyd
Bag om Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

Argues that the alternating direction method of multipliers is well suited to distributed convex optimization, and in particular to large-scale problems arising in statistics, machine learning, and related areas.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781601984609
  • Indbinding:
  • Paperback
  • Sideantal:
  • 140
  • Udgivet:
  • 30. Juni 2011
  • Størrelse:
  • 236x156x12 mm.
  • Vægt:
  • 228 g.
  • 2-3 uger.
  • 9. Oktober 2024

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Argues that the alternating direction method of multipliers is well suited to distributed convex optimization, and in particular to large-scale problems arising in statistics, machine learning, and related areas.

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