Pseudoinverse preconditioners and iterative methods for large dense linear least-squares problems

We address the issue of approximating the pseudoinverse of the coefficient matrix for dynamically building preconditioning strategies for the numerical solution of large dense linear least-squares problems. The new preconditioning strategies are embedded into simple and well-known iterative schem...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Oskar Cahueñas, Luis M. Hernández-Ramos, Marcos Raydan
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Universidad Simón Bolívar 2013-05-01
Schriftenreihe:	Bulletin of Computational Applied Mathematics
Schlagworte:	Schulz method pseudoinverse linear least-squares problems preconditioned Richardson's method conjugate gradient method
Online-Zugang:	http://www.compama.co.usb.ve/sites/default/files/fORTHCOMING/CompAMa%20Vol1-N1-(2013-001-MarcosRaydan-Aceptado20130502).pdf
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