CP decomposition and low-rank approximation of antisymmetric tensors
Erna Begovic, Lana Perisa
TL;DR
A suitable low-rank format is described and an alternating least squares structure-preserving algorithm for such approximation is proposed and implemented in Julia programming language and their numerical performance is discussed.
Abstract
For the antisymmetric tensors the paper examines a low-rank approximation which is represented via only three vectors. We describe a suitable low-rank format and propose an alternating least squares structure-preserving algorithm for finding such approximation. Moreover, we show that this approximation problem is equivalent to the problem of finding the best multilinear low-rank antisymmetric approximation and, consequently, equivalent to the problem of finding the best unstructured rank-$1$ approximation. The case of partial antisymmetry is also discussed. The algorithms are implemented in Julia programming language and their numerical performance is discussed.
