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Tensor Networks for Dimensionality Reduction and Large-scale Optimization

- Part 1 Low-Rank Tensor Decompositions

af Andrzej Cichocki

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

Tensor Networks for Dimensionality Reduction and Large-scale Optimization af Andrzej Cichocki
Bag om Tensor Networks for Dimensionality Reduction and Large-scale Optimization

Provides a systematic and example-rich guide to the basic properties and applications of tensor network methodologies, and demonstrates their promise as a tool for the analysis of extreme-scale multidimensional data. The book demonstrates the ability of tensor networks to provide linearly or even super-linearly, scalable solutions.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781680832228
  • Indbinding:
  • Paperback
  • Sideantal:
  • 196
  • Udgivet:
  • 19. December 2016
  • Størrelse:
  • 156x234x11 mm.
  • Vægt:
  • 283 g.
  • 2-3 uger.
  • 9. Oktober 2024

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Provides a systematic and example-rich guide to the basic properties and applications of tensor network methodologies, and demonstrates their promise as a tool for the analysis of extreme-scale multidimensional data. The book demonstrates the ability of tensor networks to provide linearly or even super-linearly, scalable solutions.

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