The Schmidt-Eckart-Young theorem for matrices states that the optimal rank-r approximation of a matrix is obtained by retaining the first r terms from the singular value decomposition of that matrix. This paper considers a generalization of this optimal truncation property to the rank decomposition (Candecomp/Parafac) of tensors and establishes a necessary orthogonality condition. We prove that this condition is not satisfied at least by an open set of positive Lebesgue measure in complex tensor spaces. It is proved, moreover, that for complex tensors of small rank this condition can only be satisfied by a set of tensors of Lebesgue measure zero. Finally, we demonstrate that generic tensors in cubic tensor spaces are not optimally truncatab...
Abstract. Necessary conditions are derived for a rank-r tensor to be a best rank-r approximation of ...
The tensor rank decomposition problem consists of recovering the unique parameters of the decomposit...
Hitchcock's rank decompositon---also known as the CANDECOMP/PARAFAC tensor decomposition---may be co...
The Schmidt-Eckart-Young theorem for matrices states that the optimal rank-r approximation to a matr...
The Schmidt-Eckart-Young theorem for matrices states that the optimal rank-r approximation to a matr...
The Schmidt-Eckart-Young theorem for matrices states that the optimal rank-r approximation to a matr...
Joint work with Jan Draisma and Giorgio Ottaviani. Given a tensor f in a Euclidean tensor space, we ...
Joint work with Jan Draisma and Giorgio Ottaviani. Given a tensor f in a Euclidean tensor space, we ...
Given a tensor f in a Euclidean tensor space, we are interested in the critical points of the distan...
\u3cp\u3eGiven a tensor f in a Euclidean tensor space, we are interested in the critical points of t...
We propose a new sufficient condition for verifying whether general rank-r complex tensors of arbitr...
Given a tensor f in a Euclidean tensor space, we are interested in the critical points of the distan...
The tensor rank decomposition problem consists of recovering the unique parameters of the decomposit...
We propose a new sufficient condition for verifying whether generic rank-r complex tensors of arbitr...
We propose a new sufficient condition for verifying whether generic rank-r complex tensors of arbitr...
Abstract. Necessary conditions are derived for a rank-r tensor to be a best rank-r approximation of ...
The tensor rank decomposition problem consists of recovering the unique parameters of the decomposit...
Hitchcock's rank decompositon---also known as the CANDECOMP/PARAFAC tensor decomposition---may be co...
The Schmidt-Eckart-Young theorem for matrices states that the optimal rank-r approximation to a matr...
The Schmidt-Eckart-Young theorem for matrices states that the optimal rank-r approximation to a matr...
The Schmidt-Eckart-Young theorem for matrices states that the optimal rank-r approximation to a matr...
Joint work with Jan Draisma and Giorgio Ottaviani. Given a tensor f in a Euclidean tensor space, we ...
Joint work with Jan Draisma and Giorgio Ottaviani. Given a tensor f in a Euclidean tensor space, we ...
Given a tensor f in a Euclidean tensor space, we are interested in the critical points of the distan...
\u3cp\u3eGiven a tensor f in a Euclidean tensor space, we are interested in the critical points of t...
We propose a new sufficient condition for verifying whether general rank-r complex tensors of arbitr...
Given a tensor f in a Euclidean tensor space, we are interested in the critical points of the distan...
The tensor rank decomposition problem consists of recovering the unique parameters of the decomposit...
We propose a new sufficient condition for verifying whether generic rank-r complex tensors of arbitr...
We propose a new sufficient condition for verifying whether generic rank-r complex tensors of arbitr...
Abstract. Necessary conditions are derived for a rank-r tensor to be a best rank-r approximation of ...
The tensor rank decomposition problem consists of recovering the unique parameters of the decomposit...
Hitchcock's rank decompositon---also known as the CANDECOMP/PARAFAC tensor decomposition---may be co...