A proximal point like method for solving tensor least-squares problems

Author:

Liang Maolin,Zheng Bing,Zheng Yutao

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Algebra and Number Theory

Reference41 articles.

1. Kolda, T.G., Bader, B.W.: Tensor decompositions and applications. SIAM Rev. 51, 455–500 (2009)

2. Golub, G.H., Van Loan, C.F.: Matrix Computations, 4th edn. Johns Hopkins University Press, Baltimore (2013)

3. Qi, L.-Q.: Eigenvalues of a real supersymmetric tensor. J. Symb. Comput. 40, 1302–1324 (2005)

4. Lim, L.-H.: Singular values and eigenvalues of tensors: a variational approach. In: Proceedings of the 1st IEEE International Workshop on Computational Advances of Multi-sensor Adaptive Processing (CAMSAP), pp. 129–132 (2005)

5. Ding, W.-Y., Qi, L.-Q., Wei, Y.-M.: $$\cal{M}$$-tensors and nonsingular $$\cal{M}$$-tensors. Linear Algebra Appl. 439(10), 3264–3278 (2013)

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