Na Li, Stefan Kindermann, Carmeliza Navasca,
"Some Convergence results on the regularized Alternating Least Squares method for tensor decomposition"
, in Linear Algebra and its Applications, Vol. 438, Seite(n) 796-812, 2013
Some Convergence results on the regularized Alternating Least Squares method for tensor decomposition
Sprache des Titels:
We study the convergence of the Regularized Alternating Least-Squares algorithm for tensor decompositions. As a main result, we have shown that given the existence of critical points of the Alternating Least-Squares method, the limit points of the converging subsequences of the RALS are the critical points of the least squares cost functional. Some numerical examples indicate a faster convergence rate for the RALS in comparison to the usual Alternating Least-Squares method.