Add to ORKGStraightforward solution of discrete ill-posed linear systems of equations or least-squares problems with error contaminated data does not, in general, give meaningful results, because the propagated error destroys the computed solution. The problems have to be modified to reduce their sensitivity to the error in the data. The amount of modification is determined by a regularization parameter. It can be difficult to determine a suitable value of the regularization parameter when no knowledge of the norm of error in the data is available. This paper proposes a new simple technique for determining a value of the regularization parameter that can be applied in this situation. It is based on comparing computed solutions determined by Tikhonov r...
The computation of an approximate solution of linear discrete illposed problems with contaminated da...
The computation of an approximate solution of linear discrete illposed problems with contaminated da...
AbstractWe consider Tikhonov regularization of linear ill-posed problems with noisy data. The choice...
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...
Abstract. Straightforward solution of discrete ill-posed linear systems of equations or least-square...
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...
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 paper concerns conditioning aspects of finite dimensional problems arisen when the Tikhonov regu...
Linear discrete ill-posed problems are difficult to solve numerically because their solution is very...
Linear discrete ill-posed problems are difficult to solve numerically because their solution is very...
The computation of an approximate solution of linear discrete illposed problems with contaminated da...
The computation of an approximate solution of linear discrete illposed problems with contaminated da...
AbstractWe consider Tikhonov regularization of linear ill-posed problems with noisy data. The choice...
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...
Abstract. Straightforward solution of discrete ill-posed linear systems of equations or least-square...
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...
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 paper concerns conditioning aspects of finite dimensional problems arisen when the Tikhonov regu...
Linear discrete ill-posed problems are difficult to solve numerically because their solution is very...
Linear discrete ill-posed problems are difficult to solve numerically because their solution is very...
The computation of an approximate solution of linear discrete illposed problems with contaminated da...
The computation of an approximate solution of linear discrete illposed problems with contaminated da...
AbstractWe consider Tikhonov regularization of linear ill-posed problems with noisy data. The choice...