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• W1986782029 abstract "The problem discussed in this paper is the symmetric best low multilinear rank approximation of third-order symmetric tensors. We propose an algorithm based on Jacobi rotations, for which symmetry is preserved at each iteration. Two numerical examples are provided indicating the need for such algorithms. An important part of the paper consists of proving that our algorithm converges to stationary points of the objective function. This can be considered an advantage of the proposed algorithm over existing symmetry-preserving algorithms in the literature." @default.
• W1986782029 created "2016-06-24" @default.
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• W1986782029 date "2013-01-01" @default.
• W1986782029 modified "2023-09-28" @default.
• W1986782029 title "Jacobi Algorithm for the Best Low Multilinear Rank Approximation of Symmetric Tensors" @default.
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• W1986782029 doi "https://doi.org/10.1137/11085743x" @default.
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