A Riemannian Newton Optimization Framework for the Symmetric Tensor Rank Approximation Problem

17 Jul 2020 Khouja Rima AROMATH Khalil Houssam AROMATH Mourrain Bernard AROMATH

The symmetric tensor rank approximation problem (STA) consists in computing the best low rank approximation of a symmetric tensor. We describe a Riemannian Newton iteration with trust region scheme for the STA problem... (read more)

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  • NUMERICAL ANALYSIS
  • NUMERICAL ANALYSIS
  • OPTIMIZATION AND CONTROL