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- Title
Relative computational efficiency of iteratively regularized methods.
- Authors
Bakushinsky, A. B.; Smirnova, A.; Tuncer, N.
- Abstract
The estimates for the number of operations needed to implement two different iteratively regularized Gauss–Newton methods as well as the iteratively regularized gradient scheme are given. The operation count is illustrated by simulations for a two dimensional version of the exponentially ill-posed optical tomography inverse problem for the diffusion ( D) and absorption ( μa) coefficient spatial distributions.
- Subjects
OPERATIONS (Algebraic topology); ITERATIVE methods (Mathematics); NUMERICAL analysis; GAUSS-Newton method; TOMOGRAPHY
- Publication
Journal of Inverse & Ill-Posed Problems, 2008, Vol 16, Issue 7, p681
- ISSN
0928-0219
- Publication type
Article
- DOI
10.1515/JIIP.2008.041