Structure-preserving low multilinear rank approximation of antisymmetric tensors (CROSBI ID 639072)
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Podaci o odgovornosti
Begović Kovač, Erna ; Kressner, Daniel
engleski
Structure-preserving low multilinear rank approximation of antisymmetric tensors
We are concerned with low multilinear rank approximations of antisymmetric tensors, that is, multivariate arrays for which the entries change sign when permuting pairs of indices. We show which ranks can be attained by an antisymmetric tensor and discuss the adaption of existing approximation algorithms to preserve antisymmetry, most notably a Jacobi algorithm. Particular attention is paid to the important special case when choosing the rank equal to the order of the tensor. It is shown that this case can be addressed with an unstructured rank-1 approximation. This allows for the straightforward application of the higher-order power method, for which we discuss effective initialization strategies. This is a joint work with Daniel Kressner (EPF Lausanne).
tensor; low rank; Jacobi rotation
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Podaci o prilogu
6-6.
2016.
objavljeno
Podaci o matičnoj publikaciji
16th GAMM Workshop Applied and Numerical Linear Algebra
Podaci o skupu
16th GAMM Workshop Applied and Numerical Linear Algebra
predavanje
15.09.2016-16.09.2016
Hamburg, Njemačka