Pages that link to "Item:Q1772024"

The following pages link to A parameter choice method for Tikhonov regularization (Q1772024):

Displaying 36 items.

• A new framework for multi-parameter regularization (Q329016) (← links)
• A maximum product criterion as a Tikhonov parameter choice rule for Kirsch's factorization method (Q442708) (← links)
• A new method for TSVD regularization truncated parameter selection (Q460202) (← links)
• Comparing parameter choice methods for regularization of ill-posed problems (Q551477) (← links)
• A new Tikhonov regularization method (Q664611) (← links)
• Fixed-point iterations in determining a Tikhonov regularization parameter in Kirsch's factorization method (Q988634) (← links)
• Cubically convergent methods for selecting the regularization parameters in linear inverse problems (Q1023031) (← links)
• Parameter determination for Tikhonov regularization problems in general form (Q1643811) (← links)
• Optimization methods for regularization-based ill-posed problems: a survey and a multi-objective framework (Q1712546) (← links)
• Using generalized cross validation to select regularization parameter for total variation regularization problems (Q1785029) (← links)
• Dynamic load identification for interval structures under a presupposition of `being included prior to being measured' (Q2049712) (← links)
• Fuzzy identification of dynamic loads in presence of structural epistemic uncertainties (Q2175273) (← links)
• Determination of regularization parameter via solving a multi-objective optimization problem (Q2189712) (← links)
• On a generalization of Regińska's parameter choice rule and its numerical realization in large-scale multi-parameter Tikhonov regularization (Q2250235) (← links)
• New model function methods for determining regularization parameters in linear inverse problems (Q2271399) (← links)
• Comparative analysis of methods for regularizing an initial boundary value problem for the Helmholtz equation (Q2336714) (← links)
• Automatic parameter setting for Arnoldi-Tikhonov methods (Q2348969) (← links)
• Simple and efficient determination of the Tikhonov regularization parameter chosen by the generalized discrepancy principle for discrete ill-posed problems (Q2355574) (← links)
• Multi-parameter Arnoldi-Tikhonov methods (Q2450063) (← links)
• Exploiting residual information in the parameter choice for discrete ill-posed problems (Q2492726) (← links)
• Regularization parameter determination for discrete ill-posed problems (Q2510005) (← links)
• Near-optimal parameters for Tikhonov and other regularization methods (Q2780572) (← links)
• Parameter choice strategies for multipenalty regularization (Q2927832) (← links)
• Embedded techniques for choosing the parameter in Tikhonov regularization (Q2948086) (← links)
• Fixed-point iterations in determining the Tikhonov regularization parameter (Q3507923) (← links)
• Techniques for a priori choice of regularizing parameters in Tikhonov regularization (Q3517658) (← links)
• An improved fixed-point algorithm for determining a Tikhonov regularization parameter (Q3625453) (← links)
• (Q3768280) (← links)
• (Q3768281) (← links)
• Direct analytic model of the L-curve for Tikhonov regularization parameter selection (Q4407149) (← links)
• On the Convergence of a Heuristic Parameter Choice Rule for Tikhonov Regularization (Q4584927) (← links)
• (Q5751877) (← links)
• An adaptive discretization for Tikhonov-Phillips regularization with a posteriori parameter selection (Q5927647) (← links)
• Parameter choice strategies for error expressions and the numerical stability of Tikhonov-regularized approximation formulae (Q6102414) (← links)
• A Bayesian interpretation of the L-curve (Q6159103) (← links)
• Approximation of the Tikhonov regularization parameter through Aitken's extrapolation (Q6169242) (← links)