The singular value decomposition (SVD) in tensors (multidimensional arrays) as an optimization problem. solution via genetic algorithms and method of Nelder-Mead

Authors:
Nikos E. Mastorakis
Affiliations:
WSEAS, Athens, Greece and Military Institutes of University Education, Hellenic Naval Academy, Piraeus, Greece
Venue:
ISTASC'06 Proceedings of the 6th WSEAS International Conference on Systems Theory & Scientific Computation
Year:
2006

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Abstract

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.