Algorithm for low-rank decomposition of partially symmetric tensors via flattening orthogonalization and shifted power method with global convergence proof.
On the best rank-1 approximation of higher-order supersym- metric tensors.SIAM Journal on Matrix Analysis and Applications, 23(3):863–884
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Multi-subspace power method for decomposing partially symmetric tensors
Algorithm for low-rank decomposition of partially symmetric tensors via flattening orthogonalization and shifted power method with global convergence proof.