Jacobi Algorithm for the Best Low Multilinear Rank Approximation of Symmetric Tensors

By Mariya Ishteva, Pierre-Antoine Absil, P. Dooren. 2013

56 citations recorded by the source corpus.

Subfields: Computational Mathematics, Computational Mechanics, Signal Processing

Citations in the corpus

• A literature survey of low‐rank tensor approximation techniques (2013, neutral): “Recent developments include Newton-type methods on manifolds [71, 131, 132, 229], a Jacobi algorithm for symmetric tensors [130], generalizations of Krylov subspace meth-ods [98,228], and modifications of the HOSVD [259].”