The second volume will deal with a presentation of the main matrix and tensor decompositions and their properties of uniqueness, as well as very useful tensor networks for the analysis of massive data. Parametric estimation algorithms will be presented for the identification of the main tensor decompositions. After a brief historical review of the compressed sampling methods, an overview of the main methods of retrieving matrices and tensors with missing data will be performed under the low rank hypothesis. Illustrative examples will be provided.

About the Author

FAVIER Gerard, Emeritus Research Director at CNRS.

Book Information
ISBN 9781786301550
Author Gerard Favier
Format Hardback
Page Count 384
Imprint ISTE Ltd and John Wiley & Sons Inc
Publisher ISTE Ltd and John Wiley & Sons Inc
Weight(grams) 454g
Dimensions(mm) 10mm * 10mm * 10mm