Pages that link to "Item:Q5395966"

The following pages link to A numerical study of heuristic parameter choice rules for total variation regularization (Q5395966):

Displaying 16 items.

• Iterative choice of the optimal regularization parameter in TV image restoration (Q256109) (← links)
• UPRE method for total variation parameter selection (Q985621) (← links)
• A comparison of multilevel methods for total variation regularization (Q1381071) (← links)
• A comparison of parameter choice rules for \(\ell^p\)-\(\ell^q\) minimization (Q2084586) (← links)
• A simplified L-curve method as error estimator (Q2303352) (← links)
• Hanke-Raus heuristic rule for variational regularization in Banach spaces (Q2820677) (← links)
• Multiresolution Parameter Choice Method for Total Variation Regularized Tomography (Q3188212) (← links)
• Heuristic discrepancy principle for variational regularization of inverse problems (Q3298412) (← links)
• (Q5113130) (← links)
• A convex inversion framework for identifying parameters in saddle point problems with applications to inverse incompressible elasticity (Q5116596) (← links)
• Analyzing the role of the Inf-Sup condition for parameter identification in saddle point problems with application in elasticity imaging (Q5151520) (← links)
• Contingent derivatives and regularization for noncoercive inverse problems (Q5228823) (← links)
• Heuristic Parameter-Choice Rules for Convex Variational Regularization Based on Error Estimates (Q5392407) (← links)
• Iterative Lavrentiev regularization method under a heuristic rule for nonlinear ill-posed operator equations (Q6076064) (← links)
• Convergence rates for nonlinear inverse problems of parameter identification using Bregman distances (Q6085813) (← links)
• A numerical comparison of some heuristic stopping rules for nonlinear Landweber iteration (Q6105396) (← links)