Extensions of incomplete oblique projections method for solving rank-deficient least-squares problems
The aim of this paper is to extend the applicability of an algorithm for solving inconsistent linear systems to the rank-deficient case, by employing incomplete projections onto the set of solutions of the augmented system Ax-r = b. The extended algorithm converges to the unique minimal norm solutio...
Guardado en:
Publicado: |
2009
|
---|---|
Materias: | |
Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15475816_v5_n2_p175_Scolnik http://hdl.handle.net/20.500.12110/paper_15475816_v5_n2_p175_Scolnik |
Aporte de: |
Ejemplares similares
-
Extensions of incomplete oblique projections method for solving rank-deficient least-squares problems
por: Scolnik, H.D., et al. -
Extensions of incomplete oblique projections method for solving rank-deficient least-squares problems
por: Scolnik, Hugo Daniel, et al.
Publicado: (2009) -
Incomplete oblique projections method for solving regularized least-squares problems in image reconstruction
Publicado: (2008) -
Incomplete oblique projections method for solving regularized least-squares problems in image reconstruction
por: Scolnik, H.D., et al. -
Incomplete oblique projections method for solving regularized least-squares problems in image reconstruction
por: Scolnik, Hugo Daniel, et al.
Publicado: (2008)