Regularization properties of Tikhonov regularization with sparsity constraints
Electronic transactions on numerical analysis, Tome 30 (2008), pp. 54-74
In this paper, we investigate the regularization properties of Tikhonov regularization with a sparsity (or Besov) penalty for the inversion of nonlinear operator equations. We propose an a posteriori parameter choice rule that ensures convergence in the used norm as the data error goes to zero. We show that the method of surrogate functionals will at least reconstruct a critical point of the Tikhonov functional. Finally, we present some numerical results for a nonlinear Hammerstein equation.
@article{ETNA_2008__30__a21,
author = {Ramlau, Ronny},
title = {Regularization properties of {Tikhonov} regularization with sparsity constraints},
journal = {Electronic transactions on numerical analysis},
pages = {54--74},
year = {2008},
volume = {30},
zbl = {1171.65042},
language = {en},
url = {http://geodesic.mathdoc.fr/item/ETNA_2008__30__a21/}
}
Ramlau, Ronny. Regularization properties of Tikhonov regularization with sparsity constraints. Electronic transactions on numerical analysis, Tome 30 (2008), pp. 54-74. http://geodesic.mathdoc.fr/item/ETNA_2008__30__a21/