AbstractWe prove that solutions by direct regularization of linear systems are equivalent to truncated iterations of certain type of iterative methods. Our proofs extend previous results of H. E. Fleming to the rank-deficient case. We give a unified approach that includes the undetermined and overdetermined problems
Ill-posed inverse problems arise in many fields of science and engineering. The ill-conditioning and...
Discretizations of inverse problems lead to systems of linear equations with a highly ill-condition...
A problem of iterative approximation is investigated for a nonlinear operator equation regularized b...
We prove that solutions by direct regularization of linear systems are equivalent to truncated itera...
AbstractWe prove that solutions by direct regularization of linear systems are equivalent to truncat...
AbstractThe equivalence of minimum-norm least-squares solutions of systems of linear equations and s...
AbstractThis paper is concerned with iterative solution methods for large linear systems of equation...
Discretizations of inverse problems lead to systems of linear equations with a highly ill-conditione...
Many problems in science and engineering give rise to linear systems of equations that are commonly ...
Ill posed problems constitute the mathematical model of a large variety of applications. Aim of thi...
The advent of the computer had forced the application of mathematics to all branches of human endeav...
AbstractTikhonov regularization for large-scale linear ill-posed problems is commonly implemented by...
Abstract. The iteratively regularized Gauss-Newton method is applied to compute the stable solutions...
AbstractThis paper is concerned with the solution of underdetermined linear systems of equations wit...
Numerical solution of ill-posed problems is often accomplished by discretization (projection onto a...
Ill-posed inverse problems arise in many fields of science and engineering. The ill-conditioning and...
Discretizations of inverse problems lead to systems of linear equations with a highly ill-condition...
A problem of iterative approximation is investigated for a nonlinear operator equation regularized b...
We prove that solutions by direct regularization of linear systems are equivalent to truncated itera...
AbstractWe prove that solutions by direct regularization of linear systems are equivalent to truncat...
AbstractThe equivalence of minimum-norm least-squares solutions of systems of linear equations and s...
AbstractThis paper is concerned with iterative solution methods for large linear systems of equation...
Discretizations of inverse problems lead to systems of linear equations with a highly ill-conditione...
Many problems in science and engineering give rise to linear systems of equations that are commonly ...
Ill posed problems constitute the mathematical model of a large variety of applications. Aim of thi...
The advent of the computer had forced the application of mathematics to all branches of human endeav...
AbstractTikhonov regularization for large-scale linear ill-posed problems is commonly implemented by...
Abstract. The iteratively regularized Gauss-Newton method is applied to compute the stable solutions...
AbstractThis paper is concerned with the solution of underdetermined linear systems of equations wit...
Numerical solution of ill-posed problems is often accomplished by discretization (projection onto a...
Ill-posed inverse problems arise in many fields of science and engineering. The ill-conditioning and...
Discretizations of inverse problems lead to systems of linear equations with a highly ill-condition...
A problem of iterative approximation is investigated for a nonlinear operator equation regularized b...