Abstract: Tikhonov regularization is a popular and effective method for the approximate solution of illposed problems, including Fredholm equations of the first kind. The Tikhonov method works well when the solution of the equation is well-behaved, but fails for solutions with irregularities, such as jump discontinuities. In this paper we develop a method that overcomes the limitations of the standard Tikhonov regularization. We present a criterion by which approximate solutions can be evaluated and use it in a search method that is effective in locating points of irregular behavior. Once the points of irregularity hav
AbstractIn this paper we introduce a new variant of L-curve to estimate the Tikhonov regularization ...
This paper introduces a new strategy for setting the regularization parameter when solving large-sca...
Abstract. Many numerical methods for the solution of ill-posed problems are based on Tikhonov regula...
Abstract : The theory of solving linear and nonlinear ill-posed problems is advanced greatly today (...
The computation of an approximate solution of linear discrete illposed problems with contaminated da...
Tikhonov regularization is one of the most popular approaches to solve discrete ill-posed problems w...
The advent of the computer had forced the application of mathematics to all branches of human endeav...
In this paper we analyze two regularization methods for nonlinear ill-posed problems. The first is a...
Abstract. Several numerical methods for the solution of large linear ill-posed problems combine Tikh...
New numerical procedure based on A.N.Tikhonov regularization method [1, 2] was elaborated. It is kno...
Abstract In the paper, we propose a new regulariza-tion algorithm based on the generalized Tikhonov ...
Linear discrete ill-posed problems of small to medium size are commonly solved by first computing th...
The straightforward solution of discrete ill-posed linear systems of equations or least-squares prob...
Tikhonov regularization is one of the most popular methods for computing an approximate solution of ...
AbstractIn this paper, we consider a finite-dimensional approximation scheme combined with Tikhonov ...
AbstractIn this paper we introduce a new variant of L-curve to estimate the Tikhonov regularization ...
This paper introduces a new strategy for setting the regularization parameter when solving large-sca...
Abstract. Many numerical methods for the solution of ill-posed problems are based on Tikhonov regula...
Abstract : The theory of solving linear and nonlinear ill-posed problems is advanced greatly today (...
The computation of an approximate solution of linear discrete illposed problems with contaminated da...
Tikhonov regularization is one of the most popular approaches to solve discrete ill-posed problems w...
The advent of the computer had forced the application of mathematics to all branches of human endeav...
In this paper we analyze two regularization methods for nonlinear ill-posed problems. The first is a...
Abstract. Several numerical methods for the solution of large linear ill-posed problems combine Tikh...
New numerical procedure based on A.N.Tikhonov regularization method [1, 2] was elaborated. It is kno...
Abstract In the paper, we propose a new regulariza-tion algorithm based on the generalized Tikhonov ...
Linear discrete ill-posed problems of small to medium size are commonly solved by first computing th...
The straightforward solution of discrete ill-posed linear systems of equations or least-squares prob...
Tikhonov regularization is one of the most popular methods for computing an approximate solution of ...
AbstractIn this paper, we consider a finite-dimensional approximation scheme combined with Tikhonov ...
AbstractIn this paper we introduce a new variant of L-curve to estimate the Tikhonov regularization ...
This paper introduces a new strategy for setting the regularization parameter when solving large-sca...
Abstract. Many numerical methods for the solution of ill-posed problems are based on Tikhonov regula...