TENSOR RING DECOMPOSITION AND ITS APPLICATIONS

Tensor ring decomposition (TRD) is a powerful technique for breaking down high-order tensors into a sum of lower-rank matrices. This reduction can dramatically reduce the storage complexity of various tensor operations. TRD has found broad applications in multiple fields, including data analysis, where it can optimize the performance of algorithms