We are concerned with the algebraic multigrid (AMG) method for least square problem arisen from image restorations. We employ the Kaczmarz’s method as the smoothers for the AMG and prove the corresponding smoothing property.Abstract vii 1 Introduction 1 2 CT and Radon transform 3 2.1 CT and Radon transform . . . . . . . . . . . . . . . . . . . . . 3 2.2 Discrete Radon transform . . . . . . . . . . . . . . . . . . . . 4 3 Kaczmarz’s Method and SOR method 7 3.1 Kaczmarz’s Method . . . . . . . . . . . . . . . . . . . . . . . . 7 3.2 SOR method . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 3.3 Kaczmarz method : a variant of SOR . . . . . . . . . . . . . . 10 3.4 Kaczmarz’s method for inverse Radon transform . . . . . . . . 12 4 Smooth...
Abstract. We introduce an assumption about smoothing operator for mixed formu-lations and show that ...
We analyze the multigrid method accelerated by a minimal residual smoothing (MRS) technique. We prov...
In many 2D image restoration problems, such as image deblurring with Dirichlet boundary conditions, ...
In this paper we introduce a multigrid method for sparse, possibly rank-deficient and inconsistent l...
We present a theory for algebraic multigrid (AMG) methods that allows for general smoothing processe...
Abstract. We consider the deblurring problem of noisy and blurred images in the case of known space ...
We briefly describe a multigrid strategy for unilevel and two-level linear systems whose coefficient...
Since the early nineties, there has been a strongly increasing demand for more efficient methods to ...
Abstract. Algebraic Multigrid (AMG) methods were developed originally for nu-merically solving Parti...
In many 2D image restoration problems, such as image deblurring with Dirichlet boundary conditions, ...
In the last two decades, substantial effort has been devoted to solve large systems of linear equati...
Smoothed aggregation-based (SA) algebraic multigrid (AMG) is a popular and effective solver for sys...
We introduce a coarsening algorithm for algebraic multigrid (AMG) based on the concept of compatible...
In modern large-scale supercomputing applications, Algebraic Multigrid (AMG) is a leading choice for...
Abstract. In the resolution of certain image deblurring problems with given boundary con-ditions we ...
Abstract. We introduce an assumption about smoothing operator for mixed formu-lations and show that ...
We analyze the multigrid method accelerated by a minimal residual smoothing (MRS) technique. We prov...
In many 2D image restoration problems, such as image deblurring with Dirichlet boundary conditions, ...
In this paper we introduce a multigrid method for sparse, possibly rank-deficient and inconsistent l...
We present a theory for algebraic multigrid (AMG) methods that allows for general smoothing processe...
Abstract. We consider the deblurring problem of noisy and blurred images in the case of known space ...
We briefly describe a multigrid strategy for unilevel and two-level linear systems whose coefficient...
Since the early nineties, there has been a strongly increasing demand for more efficient methods to ...
Abstract. Algebraic Multigrid (AMG) methods were developed originally for nu-merically solving Parti...
In many 2D image restoration problems, such as image deblurring with Dirichlet boundary conditions, ...
In the last two decades, substantial effort has been devoted to solve large systems of linear equati...
Smoothed aggregation-based (SA) algebraic multigrid (AMG) is a popular and effective solver for sys...
We introduce a coarsening algorithm for algebraic multigrid (AMG) based on the concept of compatible...
In modern large-scale supercomputing applications, Algebraic Multigrid (AMG) is a leading choice for...
Abstract. In the resolution of certain image deblurring problems with given boundary con-ditions we ...
Abstract. We introduce an assumption about smoothing operator for mixed formu-lations and show that ...
We analyze the multigrid method accelerated by a minimal residual smoothing (MRS) technique. We prov...
In many 2D image restoration problems, such as image deblurring with Dirichlet boundary conditions, ...