On the successive supersymmetric rank‐1 decomposition of higher‐order supersymmetric tensors |
| |
| Authors: | Yiju Wang Liqun Qi |
| |
| Affiliation: | 1. School of Operations Research and Management Sciences, Qufu Normal University, Rizhao Shandong 276800, China;2. Department of Applied Mathematics, The Hong Kong Polytechnic University, Kowloon, Hong KongSchool of Operations Research and Management Sciences, Qufu Normal University, Rizhao Shandong 276800, China===;3. Department of Mathematics, City University of Hong Kong, Kowloon Tong, Kowloon, Hong Kong |
| |
| Abstract: | In this paper, a successive supersymmetric rank‐1 decomposition of a real higher‐order supersymmetric tensor is considered. To obtain such a decomposition, we design a greedy method based on iteratively computing the best supersymmetric rank‐1 approximation of the residual tensors. We further show that a supersymmetric canonical decomposition could be obtained when the method is applied to an orthogonally diagonalizable supersymmetric tensor, and in particular, when the order is 2, this method generates the eigenvalue decomposition for symmetric matrices. Details of the algorithm designed and the numerical results are reported in this paper. Copyright © 2007 John Wiley & Sons, Ltd. |
| |
| Keywords: | higher‐order tensors rank‐1 tensors supersymmetry decomposition |
|
|
