Tikhonov-type regularization of linear and nonlinear ill-posed problems in abstract spaces under sparsity constraints gained relevant attention in the past years. Since under some weak assumptions all regularized solutions are sparse if the l1-norm is used as penalty term, the l1-regularization was studied by numerous authors although the non-reflexivity of the Banach space l1 and the fact that such penalty functional is not strictly convex lead to serious difficulties. We consider the case that the sparsity assumption is narrowly missed. This means that the solutions may have an infinite number of nonzero but fast decaying components. For that case we formulate and prove convergence rates results for the l1-regularization of nonlinear oper...
We study compact operator equations with noisy data in Hilbert space. Instead of assuming that the e...
When deriving rates of convergence for the approximations generated by the application of Tikhonov r...
We study compact operator equations with noisy data in Hilbert space. Instead of assuming that the e...
Tikhonov-type regularization of linear and nonlinear ill-posed problems in abstract spaces under spa...
There exists a vast literature on convergence rates results for Tikhonov regularized minimizers. We ...
We study the regularising properties of Tikhonov regularisation on the sequence space ℓ2 with weight...
In the last decade l1-regularization became a powerful and popular tool for the regularization of In...
AbstractWe study the regularising properties of Tikhonov regularisation on the sequence space ℓ2 wit...
Abstract. The Tikhonov regularization of linear ill-posed problems with an `1 penalty is considered....
Abstract In the recent past the authors, with collaborators, have published convergence rate results...
For Tikhonov regularization of ill-posed nonlinear operator equations, convergence is studied in a H...
AbstractAfter a general discussion about convergence and convergence rates for regularization method...
Sparsity promoting regularization is an important technique for signal reconstruction and several ot...
The stable solution of ill-posed non-linear operator equations in Banach space requires regularizati...
This paper is concerned with exponentially ill-posed operator equations with additive impulsive nois...
We study compact operator equations with noisy data in Hilbert space. Instead of assuming that the e...
When deriving rates of convergence for the approximations generated by the application of Tikhonov r...
We study compact operator equations with noisy data in Hilbert space. Instead of assuming that the e...
Tikhonov-type regularization of linear and nonlinear ill-posed problems in abstract spaces under spa...
There exists a vast literature on convergence rates results for Tikhonov regularized minimizers. We ...
We study the regularising properties of Tikhonov regularisation on the sequence space ℓ2 with weight...
In the last decade l1-regularization became a powerful and popular tool for the regularization of In...
AbstractWe study the regularising properties of Tikhonov regularisation on the sequence space ℓ2 wit...
Abstract. The Tikhonov regularization of linear ill-posed problems with an `1 penalty is considered....
Abstract In the recent past the authors, with collaborators, have published convergence rate results...
For Tikhonov regularization of ill-posed nonlinear operator equations, convergence is studied in a H...
AbstractAfter a general discussion about convergence and convergence rates for regularization method...
Sparsity promoting regularization is an important technique for signal reconstruction and several ot...
The stable solution of ill-posed non-linear operator equations in Banach space requires regularizati...
This paper is concerned with exponentially ill-posed operator equations with additive impulsive nois...
We study compact operator equations with noisy data in Hilbert space. Instead of assuming that the e...
When deriving rates of convergence for the approximations generated by the application of Tikhonov r...
We study compact operator equations with noisy data in Hilbert space. Instead of assuming that the e...