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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
Andrzej Cichocki
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 · 307 g |
| Language | English |
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