Local Analysis of Inverse Problems: Hölder Stability and Iterative Reconstruction
نویسندگان
چکیده
We consider a class of inverse problems defined by a nonlinear mapping from parameter or model functions to the data, where the inverse mapping is Hölder continuous with respect to appropriate Banach spaces. We analyze a nonlinear Landweber iteration and prove local convergence and convergence rates with respect to an appropriate distance measure. Opposed to the standard analysis of the nonlinear Landweber iteration, we do not assume source and non-linearity conditions, but this analysis is based solely on the Hölder continuity of the inverse mapping. AMS classification scheme numbers: 47J25, 35R30, 65J22 Submitted to: Inverse Problems Local Analysis of Inverse Problems: Hölder Stability and Iterative Reconstruction 2
منابع مشابه
Local Inverse Problems: Hölder Stability and Iterative Reconstruction
We consider a class of inverse problems defined by a nonlinear map from parameter or model functions to the data. We assume that solutions exist. The space of model functions is a Banach space which is smooth and uniformly convex; however, the data space can be an arbitrary Banach space. We study sequences of parameter functions generated by a nonlinear Landweber iteration and conditions under ...
متن کاملSome Recent Developments and Open Problems in Solution Methods for Mathematical Inverse Problems
The area of mathematical inverse problems is quite broad and involves the qualitative and quantitative analysis of a wide variety of physical models. Applications include, for example, the problem of inverse heat conduction, image reconstruction, tomography, the inverse scattering problem, and the determination of unknown coefficients or boundary parameters appearing in partial differential equ...
متن کاملDeep Convolutional Framelets: A General Deep Learning for Inverse Problems
Recently, deep learning approaches with various network architectures have achieved significant performance improvement over existing iterative reconstruction methods in various imaging problems. However, it is still unclear why these deep learning architectures work for specific inverse problems. Moreover, in contrast to the usual evolution of signal processing theory around the classical theo...
متن کاملApproach to Solve Ill-posed Inverse Problem in Image Reconstruction from Projections
This paper discusses the ill-posed inverse problem in image reconstruction from projections and presents a new approach, Multi-criterion Optimization Approach, to solve this problem. Theoretical analysis and test result show that the new approach provides high stability and accuracy with good recovery of visual features.
متن کاملSolving a nonlinear inverse system of Burgers equations
By applying finite difference formula to time discretization and the cubic B-splines for spatial variable, a numerical method for solving the inverse system of Burgers equations is presented. Also, the convergence analysis and stability for this problem are investigated and the order of convergence is obtained. By using two test problems, the accuracy of presented method is verified. Additional...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2012