Journal of the Operations Research Society of China ›› 2019, Vol. 7 ›› Issue (1): 147-167.doi: 10.1007/s40305-018-0194-6

所属专题: Vector and tensor optimization

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  • 收稿日期:2017-11-12 修回日期:2018-01-12 出版日期:2019-03-30 发布日期:2019-03-30

Successive Partial-Symmetric Rank-One Algorithms for Almost Unitarily Decomposable Conjugate Partial-Symmetric Tensors

Tao-Ran Fu1, Jin-Yan Fan2   

  1. 1 School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai 200240, China;
    2 School of Mathematical Sciences, and MOE-LSC, Shanghai Jiao Tong University, Shanghai 200240, China
  • Received:2017-11-12 Revised:2018-01-12 Online:2019-03-30 Published:2019-03-30
  • Contact: Tao-Ran Fu, Jin-Yan Fan E-mail:taoran30@sjtu.edu.cn;jyfan@sjtu.edu.cn
  • Supported by:
    This work was partially supported by the National Natural Science Foundation of China (No. 11571234).

Abstract: In this paper, we introduce the almost unitarily decomposable conjugate partial-symmetric tensors, which are different from the commonly studied orthogonally decomposable tensors by involving the conjugate terms in the decomposition and the perturbation term. We not only show that successive rank-one approximation algorithm exactly recovers the unitary decomposition of the unitarily decomposable conjugate partial-symmetric tensors. The perturbation analysis of successive rank-one approximation algorithm for almost unitarily decomposable conjugate partial-symmetric tensors is also provided to demonstrate the robustness of the algorithm.

Key words: Approximation algorithm, Complex tensor, Perturbation analysis