Tensor Networks For Dimensionality Reduction And Large-Scale Optimization : Part 1 Low-Rank Tensor Decompositions

This monograph 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. It demonstrates the ability of tensor networks to provide linearly or even super-linearly, scalable solutions.

• | Author: Andrzej Cichocki, Namgil Lee, Ivan Oseledets, Anh-Huy Phan, Qibin Zhao, Danilo P. Mandic
• | Publisher: Now Publishers Inc
• | Publication Date: Dec 19, 2016
• | Number of Pages: 196 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 1680832220
• | ISBN-13: 9781680832228