Pages that link to "Item:Q1071480"

The following pages link to Discrepancy principles for Tikhonov regularization of ill-posed problems leading to optimal convergence rates (Q1071480):

Displaying 50 items.

• On the choice of the Tikhonov regularization parameter and the discretization level: a discrepancy-based strategy (Q254777) (← links)
• On convergence rates for asymptotic discrepancy principle (Q318183) (← links)
• On computing first and second order derivative spectra (Q350065) (← links)
• A new \textit{a posteriori} parameter choice strategy for the convolution regularization of the space-fractional backward diffusion problem (Q482691) (← links)
• Local regularization of nonlinear Volterra equations of Hammerstein type (Q616665) (← links)
• Fast tensor product solvers for optimization problems with fractional differential equations as constraints (Q668526) (← links)
• The parameter choice rules for weighted Tikhonov regularization scheme (Q725833) (← links)
• Convolution regularization method for backward problems of linear parabolic equations (Q739024) (← links)
• Parameter choice by discrepancy principles for the approximate solution of ill-posed problems (Q762741) (← links)
• A parameter choice strategy for a multi-level augmentation method solving ill-posed operator equations (Q1001614) (← links)
• On the choice of the regularization parameter for iterated Tikhonov regularization of ill-posed problems (Q1085952) (← links)
• Numerical realization of an optimal discrepancy principle for Tikhonov- regularization in Hilbert scales (Q1094826) (← links)
• A posteriori parameter choice for general regularization methods for solving linear ill-posed problems (Q1104704) (← links)
• The use of Morozov's discrepancy principle for Tikhonov regularization for solving nonlinear ill-posed problems (Q1308503) (← links)
• Inverse problem of determining the unknown strength of an internal plane heat source (Q1317945) (← links)
• Parameter choice by discrepancy principles for ill-posed problems leading to optimal convergence rates (Q1337218) (← links)
• A robust descent type algorithm for geophysical inversion through adaptive regularization (Q1614201) (← links)
• Operator-theoretic and regularization approaches to ill-posed problems (Q1655963) (← links)
• Optimization methods for regularization-based ill-posed problems: a survey and a multi-objective framework (Q1712546) (← links)
• Parameter identification techniques applied to an environmental pollution model (Q1716994) (← links)
• A generalization of Arcangeli's method for ill-posed problems leading to optimal rates (Q1803936) (← links)
• A dynamical Tikhonov regularization for solving ill-posed linear algebraic systems (Q1938001) (← links)
• Comparison of a-posteriori parameter choice rules for linear discrete ill-posed problems (Q1989163) (← links)
• A class of parameter choice rules for stationary iterated weighted Tikhonov regularization scheme (Q2008527) (← links)
• A numerical comparison of different qualitative algorithms for solving 2D inverse elastic scattering problems (Q2052268) (← links)
• Discrepancy principles for fractional Tikhonov regularization method leading to optimal convergence rates (Q2053008) (← links)
• A discrepancy principle for the Landweber iteration based on risk minimization (Q2274803) (← links)
• An iterative method to compute minimum norm solutions of ill-posed problems in Hilbert spaces (Q2322292) (← links)
• Regularization of ill-posed mixed variational inequalities with non-monotone perturbations (Q2376385) (← links)
• Convergence of Chebyshev type regularization method under Morozov discrepancy principle (Q2411146) (← links)
• Low-rank solvers for unsteady Stokes-Brinkman optimal control problem with random data (Q2417696) (← links)
• Discretization independent convergence rates for noise level-free parameter choice rules for the regularization of ill-conditioned problems (Q2450038) (← links)
• The discretized discrepancy principle under general source conditions (Q2496180) (← links)
• On a monotone ill-posed problem (Q2581234) (← links)
• Two-parameter discrepancy principle for combined projection and Tikhonov regularization of ill-posed problems (Q2848407) (← links)
• Regularization properties of the sequential discrepancy principle for Tikhonov regularization in Banach spaces (Q2875549) (← links)
• Condition numbers and perturbation analysis for the Tikhonov regularization of discrete ill-posed problems. (Q2889371) (← links)
• About discrepancy principle for regularization of exponentially illposed problems with perturbed data (Q2906212) (← links)
• A parameter choice strategy for the regularized approximation of Fredholm integral equations of the first kind (Q3056398) (← links)
• A coupled method for inverse source problem of spatial fractional anomalous diffusion equations (Q3063842) (← links)
• Gauss as Scientific Mediator Between Mathematics and Geodesy from the Past to the Present (Q3120062) (← links)
• Ill-Posed Problems: Operator Methodologies of Resolution and Regularization (Q3120064) (← links)
• A Variant of Projection-Regularization Method for Ill-Posed Linear Operator Equations (Q3383910) (← links)
• Iterative Regularization and Generalized Discrepancy Principle for Monotone Operator Equations (Q3432711) (← links)
• A vectorial descent stepsize for parameter identification of a coupled parabolic PDE-ODE (Q3466142) (← links)
• Morozov’s Discrepancy Principle For The Tikhonov Regularization Of Exponentially Ill-Posed Problems (Q3503442) (← links)
• A modified landweber method for inverse problems (Q4239758) (← links)
• On application of asymptotic generalized discrepancy principle to the analysis of epidemiology models (Q4982036) (← links)
• Modern regularization methods for inverse problems (Q5230515) (← links)
• Numerical identification of Robin coefficient by a Kohn–Vogelius type regularization method (Q5348712) (← links)