AbstractWe investigate a general class of regularization methods for ill-posed linear operator equations. An optimal a posteriori parameter choice strategy is developed for finite-dimensional approximations. The strategy is illustrated for a number of specific methods
The straightforward solution of discrete ill-posed linear systems of equations or least-squares prob...
The straightforward solution of discrete ill-posed linear systems of equations or least-squares prob...
The straightforward solution of discrete ill-posed linear systems of equations or least-squares prob...
A class of regularization methods using unbounded regularizing operators is considered for obtaining...
A general framework of regularization and approximation methods for ill-posed problems is developed....
AbstractIn this paper, we consider a finite-dimensional approximation scheme combined with Tikhonov ...
The paper concerns conditioning aspects of finite dimensional problems arisen when the Tikhonov regu...
We study a possiblity to use the structure of the regularization error for a posteriori choice of th...
The regularization of ill-posed systems of equations is carried out by corrections of the data or th...
It is well known that projection schemes for certain linear ill-posed problems $Ax = y$ can be regul...
The straightforward solution of discrete ill-posed linear systems of equations or least-squares prob...
PhDMathematicsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.li...
Ph.D.MathematicsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue....
The straightforward solution of discrete ill-posed linear systems of equations or least-squares prob...
Straightforward solution of discrete ill-posed linear systems of equations or least-squares problems...
The straightforward solution of discrete ill-posed linear systems of equations or least-squares prob...
The straightforward solution of discrete ill-posed linear systems of equations or least-squares prob...
The straightforward solution of discrete ill-posed linear systems of equations or least-squares prob...
A class of regularization methods using unbounded regularizing operators is considered for obtaining...
A general framework of regularization and approximation methods for ill-posed problems is developed....
AbstractIn this paper, we consider a finite-dimensional approximation scheme combined with Tikhonov ...
The paper concerns conditioning aspects of finite dimensional problems arisen when the Tikhonov regu...
We study a possiblity to use the structure of the regularization error for a posteriori choice of th...
The regularization of ill-posed systems of equations is carried out by corrections of the data or th...
It is well known that projection schemes for certain linear ill-posed problems $Ax = y$ can be regul...
The straightforward solution of discrete ill-posed linear systems of equations or least-squares prob...
PhDMathematicsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.li...
Ph.D.MathematicsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue....
The straightforward solution of discrete ill-posed linear systems of equations or least-squares prob...
Straightforward solution of discrete ill-posed linear systems of equations or least-squares problems...
The straightforward solution of discrete ill-posed linear systems of equations or least-squares prob...
The straightforward solution of discrete ill-posed linear systems of equations or least-squares prob...
The straightforward solution of discrete ill-posed linear systems of equations or least-squares prob...
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