Algorithm for low-rank decomposition of partially symmetric tensors via flattening orthogonalization and shifted power method with global convergence proof.
The number of singular vector tuples and uniqueness of best rank-one approximation of tensors.Foundations of Computational Mathematics, 14(6):1209–1242
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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.