Please use this identifier to cite or link to this item:
Title: Numerical multilinear algebra and its applications
Authors: Qi, L 
Sun, W
Wang, Y
Keywords: Higher order tensor
Lower rank approximation of tensor
Multi-way data analysis
Numerical multilinear algebra
Tensor decomposition
Issue Date: 2007
Publisher: Higher Education Press
Source: Frontiers of mathematics in China, 2007, v. 2, no. 4, p. 501-526 How to cite?
Journal: Frontiers of mathematics in China 
Abstract: Numerical multilinear algebra (or called tensor computation), in which instead of matrices and vectors the higher-order tensors are considered in numerical viewpoint, is a new branch of computational mathematics. Although it is an extension of numerical linear algebra, it has many essential differences from numerical linear algebra and more difficulties than it. In this paper, we present a survey on the state of the art knowledge on this topic, which is incomplete, and indicate some new trends for further research. Our survey also contains a detailed bibliography as its important part. We hope that this new area will be receiving more attention of more scholars.
ISSN: 1673-3452
EISSN: 1673-3576
DOI: 10.1007/s11464-007-0031-4
Appears in Collections:Journal/Magazine Article

View full-text via PolyU eLinks SFX Query
Show full item record


Last Week
Last month
Citations as of Nov 8, 2018

Page view(s)

Last Week
Last month
Citations as of Nov 19, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.