Geometrical inverse matrix approximation for least-squares problems and acceleration strategies |
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Authors: | Chehab Jean-Paul Raydan Marcos |
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Affiliation: | 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 ; |
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Abstract: | Numerical Algorithms - We extend the geometrical inverse approximation approach to the linear least-squares scenario. For that, we focus on the minimization of $1-cos limits (X(A^{T}A),I)$ ,... |
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