AbstractWe consider an algorithm, due to Eldén, that transforms general discrete regularization problems into standard form. We derive a simple relationship between the SVD associated with the standard-form problem and the GSVD associated with the general problem, and we discuss the accuracy of the GSVD computed via this transformation
In this paper, we present an efficient algorithm for the certification of numeric singular value dec...
© 2020 Society for Industrial and Applied Mathematics. This paper provides an advanced mathematical ...
The numerical solution of linear discrete ill-posed problems typically requires regularization. Two ...
AbstractWe consider an algorithm, due to Eldén, that transforms general discrete regularization prob...
The generalized singular value decomposition (GSVD) of a pair of matrices expresses each matrix as a...
The generalized singular value decomposition (GSVD) of a pair of matrices is the natural tool for ce...
Abstract. Truncated singular value decomposition (TSVD) is a popular method for solving linear discr...
abstract: This dissertation involves three problems that are all related by the use of the singular ...
Linear discrete ill-posed problems arise in many areas of science and engineering. Their solutions ...
The ordinary Singular Value Decomposition (SVD) is widely used in statistical and signal processing...
Tikhonov regularization is commonly used for the solution of linear discrete ill-posed problems with...
The straightforward solution of discrete ill-posed linear systems of equations or least-squares prob...
AbstractWe discuss various methods of regularization of singular differential problems. Their common...
Abstract. Straightforward solution of discrete ill-posed linear systems of equations or least-square...
We present a discrepancy-like stopping criterium for iterative regularization methods for the soluti...
In this paper, we present an efficient algorithm for the certification of numeric singular value dec...
© 2020 Society for Industrial and Applied Mathematics. This paper provides an advanced mathematical ...
The numerical solution of linear discrete ill-posed problems typically requires regularization. Two ...
AbstractWe consider an algorithm, due to Eldén, that transforms general discrete regularization prob...
The generalized singular value decomposition (GSVD) of a pair of matrices expresses each matrix as a...
The generalized singular value decomposition (GSVD) of a pair of matrices is the natural tool for ce...
Abstract. Truncated singular value decomposition (TSVD) is a popular method for solving linear discr...
abstract: This dissertation involves three problems that are all related by the use of the singular ...
Linear discrete ill-posed problems arise in many areas of science and engineering. Their solutions ...
The ordinary Singular Value Decomposition (SVD) is widely used in statistical and signal processing...
Tikhonov regularization is commonly used for the solution of linear discrete ill-posed problems with...
The straightforward solution of discrete ill-posed linear systems of equations or least-squares prob...
AbstractWe discuss various methods of regularization of singular differential problems. Their common...
Abstract. Straightforward solution of discrete ill-posed linear systems of equations or least-square...
We present a discrepancy-like stopping criterium for iterative regularization methods for the soluti...
In this paper, we present an efficient algorithm for the certification of numeric singular value dec...
© 2020 Society for Industrial and Applied Mathematics. This paper provides an advanced mathematical ...
The numerical solution of linear discrete ill-posed problems typically requires regularization. Two ...