Efficient algorithms for computing a strong rank-revealing QR factorization
SIAM Journal on Scientific Computing
A Multilinear Singular Value Decomposition
SIAM Journal on Matrix Analysis and Applications
Rank-One Approximation to High Order Tensors
SIAM Journal on Matrix Analysis and Applications
Tensor-product approximation to operators and functions in high dimensions
Journal of Complexity
Tensor Rank and the Ill-Posedness of the Best Low-Rank Approximation Problem
SIAM Journal on Matrix Analysis and Applications
Tucker Dimensionality Reduction of Three-Dimensional Arrays in Linear Time
SIAM Journal on Matrix Analysis and Applications
Tensor Decompositions and Applications
SIAM Review
Eigenvalues of a real supersymmetric tensor
Journal of Symbolic Computation
Hierarchical Singular Value Decomposition of Tensors
SIAM Journal on Matrix Analysis and Applications
SIAM Journal on Scientific Computing
Generalized cross approximation for 3d-tensors
Computing and Visualization in Science
Constructing nested bases approximations from the entries of non-local operators
Numerische Mathematik
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A scheme for the equi-directional approximation of third-order tensors by sums of products of vectors is presented and analyzed. The new method is a generalization of the adaptive cross approximation (ACA) method initially designed for the low-rank approximation of matrices using only few of its original entries. Moreover, a recursive formula is presented which generalizes the three-way ACA to tensors of arbitrary order.