Tensor Networks for Dimensionality Reduction and Large-scale Optimization

Part 1 Low-Rank Tensor Decompositions

Description

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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Writer: Cichocki, Andrzej, Lee, Namgil, Oseledets, Ivan, Phan, Anh-Huy
Title: Tensor Networks for Dimensionality Reduction and Large-scale Optimization
Publisher: now publishers Inc

Year: 2016
Language: English
Pages: 196
Weight: 283 gr

EAN: 9781680832228
Dimensions: 234 x 156 x 11 mm
Binding format: Paperback

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Tensor Networks for Dimensionality Reduction and Large-scale Optimization

Part 1 Low-Rank Tensor Decompositions

Description

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