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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Categories

Boekstra