An arnoldi-based preconditioner for iterated tikhonov regularization

HIGHLIGHTS

  • who: Alessandro Buccini from the Department of and Computer Science, University of Cagliari, Cagliari, Italy have published the research work: An Arnoldi-based preconditioner for iterated Tikhonov regularization, in the Journal: (JOURNAL)
  • what: The authors focus on applications to image deblurring, but the method proposed also can be used with other applications. As the matrix A is ill-conditioned and the residual r(k) is contaminated by error, the authors determine an approximate solution of_(6) by Tikhonov regularization h(k)=AT (AAT + ud835udefcI)-1 r(k). At step p the authors utilize the Arnoldi . . .

     

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