Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions - Foundations and Trends® in Machine Learning - Andrzej Cichocki - Books - now publishers Inc - 9781680832228 - December 19, 2016
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Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions - Foundations and Trends® in Machine Learning

Andrzej Cichocki

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Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions - Foundations and Trends® in Machine Learning

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.

196 pages

Media Books     Paperback Book   (Book with soft cover and glued back)
Released December 19, 2016
ISBN13 9781680832228
Publishers now publishers Inc
Pages 196
Dimensions 156 × 234 × 11 mm   ·   283 g
Language English  
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