lundi 2 juin 14h00

Intervenant: Lothar Reichel (Kent State university, USA) 
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Titre: « Matrix Decompositions for Tikhonov Regularization »
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Résumé:
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We discuss several generalized Krylov subspace methods for reducing a pair 
of large matrices {A,B} to a pair of small matrices {H,K}. Generalizations of 
Golub-Kahan bidiagonalization and the Arnoldi process are considered. 

Applications to Tikhonov regularization of large discrete ill-posed problems
are described, in which A is a discretization of a compact operator and 
B a discretized differential operator.