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Items for "ill-posed problems"

Computation of discontinuous solutions of 2D linear ill-posed integral equations via adaptive grid regularization

In this paper we apply the new regularization method adaptive grid regularization, which is well-suited for ill-posed problems with discontinuous solutions and which was introduced in an earlier paper [5], to 2D linear integral equations of the first kind...

Keywords: ill-posed problems, integral equations, regularization methods, adaptive grid regularization, adaptive grids

04/2007 | Journal of Inverse and Ill-posed Problems, Walter de Gruyter
On the ill-posedness and regularization of third-kind integral equations

Linear integral equations of the third kind usually lead to ill-posed inverse problems if the normed solution space X and the normed data space Y are required to be equal...

Keywords: ill-posed problems, regularization methods, linear integral equations, boundary value problems, compactly disturbed multiplication operators

07/2007 | Journal of Inverse and Ill-posed Problems, Walter de Gruyter
On the quasioptimal regularization parameter choices for solving ill-posed problems

Usual way to characterize the quality of the different a posteriori parameter choices is to prove their order-optimality on the different sets of solutions...

Keywords: ill-posed problems, regularization parameter, quasioptimal choice, discrepancy principle, Lepskii principle, monotone error rule

07/2007 | Journal of Inverse and Ill-posed Problems, Walter de Gruyter
Convergence results for the Bayesian inversion theory

In this paper we derive convergence results for regularized solutions of linear inverse problems obtained by the Bayesian approach in the Ky Fan metric...

Keywords: Bayesion inversion theory, regularization, ill-posed problems

01/2008 | Journal of Inverse and Ill-posed Problems, Walter de Gruyter
On reduction of informational expenses in solving ill-posed problems with not exactly given input data

A class of approximate methods to solve operator equations of first kind with not exactly given input data is constructed...

Keywords: ill-posed problems, regularization method, discretization, projection scheme, discrepancy principle

01/2008 | Journal of Inverse and Ill-posed Problems, Walter de Gruyter
Regularization of linear ill-posed problems with noisy right hand side and noisy operator

For solving linear ill-posed problems regularization methods are required when the right hand side and the operator is with some noise...

Keywords: ill-posed problems, inverse problems, noisy right hand side, noisy operator, Tikhonov regularization, regularized total least squares, general source conditions, order optimal error bounds

01/2008 | Journal of Inverse and Ill-posed Problems, Walter de Gruyter
Convergence rates and source conditions for Tikhonov regularization with sparsity constraints

This paper addresses the regularization by sparsity constraints by means of weighted ?p penalties for 0 ≤ p ≤ 2...

Keywords: Sparsity constraint, ill-posed problems, Tikhonov regularization

01/2008 | Journal of Inverse and Ill-posed Problems, Walter de Gruyter
Solving constraint ill-posed problems using GinzburgLandau regularization functionals

We consider constrained ill-posed operator equations. The constraints are such that in one case we restrict the domain to functions which are piecewise constant...

Keywords: ill-posed problems, regularization methods, inverse conductivity

01/2008 | Journal of Inverse and Ill-posed Problems, Walter de Gruyter