Pages that link to "Item:Q4664387"

The following pages link to Convergence rates of convex variational regularization (Q4664387):

Displaying 50 items.

• Locally sparse reconstruction using the \(\ell^{1,\infty}\)-norm (Q256102) (← links)
• Iterative choice of the optimal regularization parameter in TV image restoration (Q256109) (← links)
• Enhanced choice of the parameters in an iteratively regularized Newton-Landweber iteration in Banach space (Q260878) (← links)
• Sparsity regularization of the diffusion coefficient identification problem: well-posedness and convergence rates (Q310729) (← links)
• Bregman iterative model using the \(G\)-norm (Q403467) (← links)
• Primal and dual Bregman methods with application to optical nanoscopy (Q408888) (← links)
• Convex regularization of local volatility models from option prices: convergence analysis and rates (Q412709) (← links)
• The residual method for regularizing ill-posed problems (Q425458) (← links)
• On the calibration of local jump-diffusion asset price models (Q484208) (← links)
• Convergence of Tikhonov regularization for solving ill-posed operator equations with solutions defined on surfaces (Q519555) (← links)
• Minimization of the Tikhonov functional in Banach spaces smooth and convex of power type by steepest descent in the dual (Q535301) (← links)
• An extension of the variational inequality approach for obtaining convergence rates in regularization of nonlinear ill-posed problems (Q616662) (← links)
• Convergence rates for total variation regularization of coefficient identification problems in elliptic equations. II (Q662103) (← links)
• Multi-parameter Tikhonov regularization -- an augmented approach (Q741463) (← links)
• Inverse point source location with the Helmholtz equation on a bounded domain (Q782921) (← links)
• Exact support recovery for sparse spikes deconvolution (Q887157) (← links)
• Optimal dual certificates for noise robustness bounds in compressive sensing (Q892815) (← links)
• Error estimation for Bregman iterations and inverse scale space methods in image restoration (Q946471) (← links)
• Sparse recovery by the standard Tikhonov method (Q1027737) (← links)
• Quasi-solution of linear inverse problems in non-reflexive Banach spaces (Q1615432) (← links)
• A regularizing multilevel approach for nonlinear inverse problems (Q1615866) (← links)
• Morozov principle for Kullback-Leibler residual term and Poisson noise (Q1673839) (← links)
• A conjugate gradient like method for \(p\)-norm minimization in functional spaces (Q1681792) (← links)
• Bias reduction in variational regularization (Q1704012) (← links)
• Optimization methods for regularization-based ill-posed problems: a survey and a multi-objective framework (Q1712546) (← links)
• Higher order convergence rates for Bregman iterated variational regularization of inverse problems (Q1713400) (← links)
• Inverse problem for a class of nonlinear elliptic equations with entropy solution (Q1729219) (← links)
• Existence of variational source conditions for nonlinear inverse problems in Banach spaces (Q1746505) (← links)
• Iteratively regularized Newton-type methods for general data misfit functionals and applications to Poisson data (Q1944000) (← links)
• Higher-order TV methods -- enhancement via Bregman iteration (Q1945375) (← links)
• Sparse signal inversion with impulsive noise by dual spectral projected gradient method (Q1992541) (← links)
• Nonlinear spectral decompositions by gradient flows of one-homogeneous functionals (Q2037455) (← links)
• Image reconstruction in light-sheet microscopy: spatially varying deconvolution and mixed noise (Q2102910) (← links)
• On the existence and stability of minimizers for generalized Tikhonov functionals with general similarity data (Q2146648) (← links)
• Inverse potential problems for divergence of measures with total variation regularization (Q2216254) (← links)
• Choice of the parameters in a primal-dual algorithm for Bregman iterated variational regularization (Q2220748) (← links)
• A combined first and second order variational approach for image reconstruction (Q2251226) (← links)
• Tikhonov regularization with \({\ell^{0}}\)-term complementing a convex penalty: \({\ell^{1}}\)-convergence under sparsity constraints (Q2316708) (← links)
• On the taut string interpretation and other properties of the Rudin-Osher-Fatemi model in one dimension (Q2331667) (← links)
• Non-uniform spline recovery from small degree polynomial approximation (Q2352871) (← links)
• One condition for solution uniqueness and robustness of both \(\ell_1\)-synthesis and \(\ell_1\)-analysis minimizations (Q2374380) (← links)
• Iterative total variation regularization with non-quadratic fidelity (Q2384073) (← links)
• Penalty-based smoothness conditions in convex variational regularization (Q2422507) (← links)
• A superlinearly convergent \(R\)-regularized Newton scheme for variational models with concave sparsity-promoting priors (Q2436684) (← links)
• Ground states and singular vectors of convex variational regularization methods (Q2511249) (← links)
• The index function and Tikhonov regularization for ill-posed problems (Q2511278) (← links)
• Iterative estimation of solutions to noisy nonlinear operator equations in nonparametric instrumental regression (Q2512613) (← links)
• Spike detection from inaccurate samplings (Q2512831) (← links)
• A general framework for soft-shrinkage with applications to blind deconvolution and wavelet denoising (Q2517715) (← links)
• Determining kernels in linear viscoelasticity (Q2672776) (← links)