The Singular Value Decomposition (SVD) in Tensors (Multidimensional Arrays) as an Optimization Problem. Solution via Genetic Algorithms and method of Nelder-Mead

摘要

In this paper, an attempt to solve the Singular Value Decomposition problem in Tensors (multidimensional arrays) using a computational scheme of Evolutionary Computing (Genetic Algorithms) accompanied by the Nelder-Mead method is proposed.