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Tangent and normal cones for low-rank matrices
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aus Internat. Ser. Numer. Math.
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Alternating least squares as moving subspace correction
SIAM J. Numer. Anal.,
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| 19. |
On orthogonal tensors and best rank-one approximation ratio
SIAM J. Matrix Anal. Appl.,
39(1):400--425
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| 18. |
A Riemannian gradient sampling algorithm for nonsmooth optimization on manifolds
SIAM J. Optim.,
27(1):173--189
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| 17. |
Finding a low-rank basis in a matrix subspace
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| 16. |
On the interconnection between the higher-order singular values of real tensors
Numer. Math.,
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| 15. |
Perturbation of higher-order singular values
SIAM J. Appl. Algebra Geom.,
1(1):374--387
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| 14. |
On low-rank approximability of solutions to high-dimensional operator equations and eigenvalue problems
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| 13. |
Parallel algorithms for tensor completion in the CP format
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| 12. |
Tensor networks and hierarchical tensors for the solution of high-dimensional partial differential equations
Found. Comput. Math.,
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| 11. |
A new convergence proof for the higher-order power method and generalizations
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| 10. |
Convergence results for projected line-search methods on varieties of low-rank matrices via \L ojasiewicz inequality
SIAM J. Optim.,
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