Invertible smoothing preconditioners for linear discrete ill-posed problems

  • Authors:
  • D. Calvetti;L. Reichel;A. Shuibi

  • Affiliations:
  • Department of Mathematics, Case Western Reserve University, Cleveland, OH;Department of Mathematical Sciences, Kent State University, Kent, OH;Department of Mathematical Sciences, DePaul University, Chicago, IL

  • Venue:
  • Applied Numerical Mathematics - 6th IMACS International symposium on iterative methods in scientific computing
  • Year:
  • 2005

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Abstract

The solution of large linear discrete ill-posed problems by iterative methods has recently received considerable attention. This paper presents invertible smoothing preconditioners which are well suited for use with the GMRES, RRGMRES and LSQR methods.