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Geometrical inverse matrix approximation for least-squares problems and acceleration strategies
Authors:Chehab  Jean-Paul  Raydan  Marcos
Institution:1.LAMFA, UMR CNRS, 7352, Université de Picardie Jules Verne, 33 rue Saint Leu, 80039, Amiens, France
;2.Centro de Matemática e Aplica??es (CMA), FCT, UNL, 2829-516, Caparica, Portugal
;
Abstract:Numerical Algorithms - We extend the geometrical inverse approximation approach to the linear least-squares scenario. For that, we focus on the minimization of $1-\cos \limits (X(A^{T}A),I)$ ,...
Keywords:
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