A new version of the simple iterations implicit method based on the singular value decomposition is proposed. It is shown that this variant of the simple iterations implicit method can significantly improve the computational stability of the algorithm and at the same time provides a high rate of its convergence. The application of the simple iterations implicit method based on the singular value decomposition for the development of iterative regularization algorithms is considered. The proposed algorithms can be effectively used to solve a wide class of ill-posed and ill-conditioned computational problems
Numerical solution of ill-posed problems is often accomplished by discretization (projection onto a...
SIGLECopy held by FIZ Karlsruhe; available from UB/TIB Hannover / FIZ - Fachinformationszzentrum Kar...
The paper concerns conditioning aspects of finite dimensional problems arisen when the Tikhonov regu...
We present a discrepancy-like stopping criterium for iterative regularization methods for the soluti...
For solving linear ill-posed problems, regularization methods are required when the right-hand side ...
In this paper, we present an efficient algorithm for the certification of numeric singular value dec...
In this paper, an iterative method is presented for the computation of regularized solutions of disc...
The straightforward solution of discrete ill-posed linear systems of equations or least-squares prob...
When iterative methods are employed as regularizers of inverse problems, a main issue is the trade-o...
We prove that solutions by direct regularization of linear systems are equivalent to truncated itera...
Abstract. Straightforward solution of discrete ill-posed linear systems of equations or least-square...
AbstractWe prove that solutions by direct regularization of linear systems are equivalent to truncat...
In the numerical solution of stochastic differential equations (SDEs) such appearances as sudden, la...
The advent of the computer had forced the application of mathematics to all branches of human endeav...
Abstract. The iteratively regularized Gauss-Newton method is applied to compute the stable solutions...
Numerical solution of ill-posed problems is often accomplished by discretization (projection onto a...
SIGLECopy held by FIZ Karlsruhe; available from UB/TIB Hannover / FIZ - Fachinformationszzentrum Kar...
The paper concerns conditioning aspects of finite dimensional problems arisen when the Tikhonov regu...
We present a discrepancy-like stopping criterium for iterative regularization methods for the soluti...
For solving linear ill-posed problems, regularization methods are required when the right-hand side ...
In this paper, we present an efficient algorithm for the certification of numeric singular value dec...
In this paper, an iterative method is presented for the computation of regularized solutions of disc...
The straightforward solution of discrete ill-posed linear systems of equations or least-squares prob...
When iterative methods are employed as regularizers of inverse problems, a main issue is the trade-o...
We prove that solutions by direct regularization of linear systems are equivalent to truncated itera...
Abstract. Straightforward solution of discrete ill-posed linear systems of equations or least-square...
AbstractWe prove that solutions by direct regularization of linear systems are equivalent to truncat...
In the numerical solution of stochastic differential equations (SDEs) such appearances as sudden, la...
The advent of the computer had forced the application of mathematics to all branches of human endeav...
Abstract. The iteratively regularized Gauss-Newton method is applied to compute the stable solutions...
Numerical solution of ill-posed problems is often accomplished by discretization (projection onto a...
SIGLECopy held by FIZ Karlsruhe; available from UB/TIB Hannover / FIZ - Fachinformationszzentrum Kar...
The paper concerns conditioning aspects of finite dimensional problems arisen when the Tikhonov regu...