Separation of variables for function generated high-order tensors
The authors employ the previous ideas by \textit{M. Bebendorf} [Constr. Approx. 34, No. 2, 149--179 (2011; Zbl 1248.41049)] for extending adaptive cross approximation (ACA) to multivariate ACA. They separate the set of dimensions into two clusters, and repeat the procedure until the 2-way ACA method can be applied. The recursive subdivision of the set of dimensions yields a hierarchical structure, which differs from the PARATREE format.
scientific article; zbMATH DE number 6373690
scientific article