The regularizing properties of the adjoint gradient method in ill-posed problems
USSR Computational Mathematics and Mathematical Physics
A Technique for the Numerical Solution of Certain Integral Equations of the First Kind
Journal of the ACM (JACM)
Multigrid
On the Regularizing Power of Multigrid-type Algorithms
SIAM Journal on Scientific Computing
An Edge-Preserving Multilevel Method for Deblurring, Denoising, and Segmentation
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
Cascadic multilevel methods for fast nonsymmetric blur- and noise-removal
Applied Numerical Mathematics
Multilevel Approach For Signal Restoration Problems With Toeplitz Matrices
SIAM Journal on Scientific Computing
Journal of Computational and Applied Mathematics
Hi-index | 7.29 |
Multilevel methods are popular for the solution of well-posed problems, such as certain boundary value problems for partial differential equations and Fredholm integral equations of the second kind. However, little is known about the behavior of multilevel methods when applied to the solution of linear ill-posed problems, such as Fredholm integral equations of the first kind, with a right-hand side that is contaminated by error. This paper shows that cascadic multilevel methods with a conjugate gradient-type method as basic iterative scheme are regularization methods. The iterations are terminated by a stopping rule based on the discrepancy principle.