Add to ORKGWe prove some sufficient conditions for obtaining convergence rates in regularization of linear ill-posed problems in a Hilbert space setting and show that these conditions are directly related with the conditional stability in several concrete inverse problems for partial differential equations
summary:We give a derivation of an a-posteriori strategy for choosing the regularization parameter i...
We study compact operator equations with noisy data in Hilbert space. Instead of assuming that the e...
We study compact operator equations with noisy data in Hilbert space. Instead of assuming that the e...
We prove some sufficient conditions for obtaining convergence rates in regularization of linear ill-...
Abstract In the recent past the authors, with collaborators, have published convergence rate results...
The focus of this paper is on conditional stability estimates for ill-posed inverse problems in part...
Conditional stability estimates require additional regularization for obtaining stable approximate s...
The characterization of the local ill-posedness and the local degree of nonlinearity are of particul...
In recent years, a series of convergence rates conditions for regulariza-tion methods has been devel...
In this paper we analyze two regularization methods for nonlinear ill-posed problems. The first is a...
This paper is concerned with the design and analysis of least squares solvers for ill-posed PDEs tha...
The advent of the computer had forced the application of mathematics to all branches of human endeav...
The book collects and contributes new results on the theory and practice of ill-posed inverse proble...
In the analysis of ill-posed inverse problems the impact of solution smoothness on accuracy and conv...
Typische Eigenschaften inverser Probleme sind einerseits ihre Instabilität, die ausder Tatsache resu...
summary:We give a derivation of an a-posteriori strategy for choosing the regularization parameter i...
We study compact operator equations with noisy data in Hilbert space. Instead of assuming that the e...
We study compact operator equations with noisy data in Hilbert space. Instead of assuming that the e...
We prove some sufficient conditions for obtaining convergence rates in regularization of linear ill-...
Abstract In the recent past the authors, with collaborators, have published convergence rate results...
The focus of this paper is on conditional stability estimates for ill-posed inverse problems in part...
Conditional stability estimates require additional regularization for obtaining stable approximate s...
The characterization of the local ill-posedness and the local degree of nonlinearity are of particul...
In recent years, a series of convergence rates conditions for regulariza-tion methods has been devel...
In this paper we analyze two regularization methods for nonlinear ill-posed problems. The first is a...
This paper is concerned with the design and analysis of least squares solvers for ill-posed PDEs tha...
The advent of the computer had forced the application of mathematics to all branches of human endeav...
The book collects and contributes new results on the theory and practice of ill-posed inverse proble...
In the analysis of ill-posed inverse problems the impact of solution smoothness on accuracy and conv...
Typische Eigenschaften inverser Probleme sind einerseits ihre Instabilität, die ausder Tatsache resu...
summary:We give a derivation of an a-posteriori strategy for choosing the regularization parameter i...
We study compact operator equations with noisy data in Hilbert space. Instead of assuming that the e...
We study compact operator equations with noisy data in Hilbert space. Instead of assuming that the e...