Add to ORKGA convergence rate is established for nonstationary iterated Tikhonov regularization, applied to ill-posed problems involving closed, densely defined linear operators, under general conditions on the iteration parameters. lt is also shown that an order-optimal accuracy is attained when a certain a posteriori stopping rule is used to determine the iteration number
Multiplicative regularization solves a linear inverse problem by minimizing the product of the norm ...
Fractional Tikhonov regularization methods have been recently proposed to reduce the oversmoothing p...
summary:We give a derivation of an a-posteriori strategy for choosing the regularization parameter i...
summary:We give a derivation of an a-posteriori strategy for choosing the regularization parameter i...
summary:We give a derivation of an a-posteriori strategy for choosing the regularization parameter i...
We are concerned with a parameter choice strategy for the Tikhonov regularization \((\tilde{A}+\alph...
Nonstationary iterated Tikhonov is an iterative regularization method that requires a strategy for ...
For Tikhonov regularization of ill-posed nonlinear operator equations, convergence is studied in a H...
Nonstationary iterated Tikhonov is an iterative regularization method that requires a strategy for ...
Nonstationary iterated Tikhonov is an iterative regularization method that requires a strategy for ...
Nonstationary iterated Tikhonov is an iterative regularization method that requires a strategy for ...
Nonstationary iterated Tikhonov is an iterative regularization method that requires a strategy for ...
The nonstationary preconditioned iteration proposed in a recent work by Donatelli and Hanke appeared...
The nonstationary preconditioned iteration proposed in a recent work by Donatelli and Hanke appeared...
Multiplicative regularization solves a linear inverse problem by minimizing the product of the norm ...
Multiplicative regularization solves a linear inverse problem by minimizing the product of the norm ...
Fractional Tikhonov regularization methods have been recently proposed to reduce the oversmoothing p...
summary:We give a derivation of an a-posteriori strategy for choosing the regularization parameter i...
summary:We give a derivation of an a-posteriori strategy for choosing the regularization parameter i...
summary:We give a derivation of an a-posteriori strategy for choosing the regularization parameter i...
We are concerned with a parameter choice strategy for the Tikhonov regularization \((\tilde{A}+\alph...
Nonstationary iterated Tikhonov is an iterative regularization method that requires a strategy for ...
For Tikhonov regularization of ill-posed nonlinear operator equations, convergence is studied in a H...
Nonstationary iterated Tikhonov is an iterative regularization method that requires a strategy for ...
Nonstationary iterated Tikhonov is an iterative regularization method that requires a strategy for ...
Nonstationary iterated Tikhonov is an iterative regularization method that requires a strategy for ...
Nonstationary iterated Tikhonov is an iterative regularization method that requires a strategy for ...
The nonstationary preconditioned iteration proposed in a recent work by Donatelli and Hanke appeared...
The nonstationary preconditioned iteration proposed in a recent work by Donatelli and Hanke appeared...
Multiplicative regularization solves a linear inverse problem by minimizing the product of the norm ...
Multiplicative regularization solves a linear inverse problem by minimizing the product of the norm ...
Fractional Tikhonov regularization methods have been recently proposed to reduce the oversmoothing p...
summary:We give a derivation of an a-posteriori strategy for choosing the regularization parameter i...