Pages that link to "Item:Q1312221"

The following pages link to Regularization methods for large-scale problems (Q1312221):

Displaying 50 items.

• Representation of high resolution images from low sampled Fourier data: applications to dynamic MRI (Q2384068) (← links)
• Inverse scale spaces for nonlinear regularization (Q2384098) (← links)
• A meshless method for some inverse problems associated with the Helmholtz equation (Q2384190) (← links)
• Regularizing preconditioners by non-stationary iterated Tikhonov with general penalty term (Q2400784) (← links)
• A rational Arnoldi approach for ill-conditioned linear systems (Q2428121) (← links)
• Solving a backward heat conduction problem by variational method (Q2445216) (← links)
• Regularization parameter estimation for large-scale Tikhonov regularization using a priori information (Q2445799) (← links)
• A meshless method for the numerical computation of the solution of steady Burgers-type equations (Q2448369) (← links)
• Iterative methods for ill-posed problems and semiconvergent sequences (Q2493928) (← links)
• Calculating derivatives for automatic history matching (Q2496537) (← links)
• Preconditioned iterative methods for linear discrete ill-posed problems from a Bayesian inversion perspective (Q2508948) (← links)
• Simultaneous determination for a space-dependent heat source and the initial data by the MFS (Q2520264) (← links)
• Semi-heuristic parameter choice rules for Tikhonov regularisation with operator perturbations (Q2633409) (← links)
• Orthogonal projection regularization operators (Q2641440) (← links)
• Golub-Kahan vs. Monte Carlo: a comparison of bidiagonlization and a randomized SVD method for the solution of linear discrete ill-posed problems (Q2665542) (← links)
• Generalized cross validation for \(\ell^p\)-\(\ell^q\) minimization (Q2665937) (← links)
• Regularization preconditioners for frame-based image deblurring with reduced boundary artifacts (Q2790075) (← links)
• Square regularization matrices for large linear discrete ill-posed problems. (Q2864482) (← links)
• Condition numbers and perturbation analysis for the Tikhonov regularization of discrete ill-posed problems. (Q2889371) (← links)
• Ill-conditioning of the truncated singular value decomposition, Tikhonov regularization and their applications to numerical partial differential equations. (Q2889380) (← links)
• Hybrid and Iteratively Reweighted Regularization by Unbiased Predictive Risk and Weighted GCV for Projected Systems (Q2968588) (← links)
• Ill-Posed Problems: Operator Methodologies of Resolution and Regularization (Q3120064) (← links)
• An inverse space-dependent source problem for a multi-term time fractional diffusion equation (Q3386484) (← links)
• A Hybrid LSMR Algorithm for Large-Scale Tikhonov Regularization (Q3449797) (← links)
• Optimal Low-rank Approximations of Bayesian Linear Inverse Problems (Q3452481) (← links)
• A hierarchical Krylov–Bayes iterative inverse solver for MEG with physiological preconditioning (Q3462576) (← links)
• The identification of a Robin coefficient by a conjugate gradient method (Q3549782) (← links)
• Practical optimal regularization of large linear systems (Q3729918) (← links)
• A Semiblind Regularization Algorithm for Inverse Problems with Application to Image Deblurring (Q4603506) (← links)
• Efficient generalized Golub–Kahan based methods for dynamic inverse problems (Q4607819) (← links)
• Bayes Meets Krylov: Statistically Inspired Preconditioners for CGLS (Q4641716) (← links)
• Efficient Bayesian Computation by Proximal Markov Chain Monte Carlo: When Langevin Meets Moreau (Q4686924) (← links)
• An experiment of parallel SPECT data reconstruction (Q4819657) (← links)
• The low rank approximations and Ritz values in LSQR for linear discrete ill-posed problem (Q5000587) (← links)
• An a posteriori wavelet method for solving two kinds of ill-posed problems (Q5028569) (← links)
• Identifying a time-dependent zeroth-order coefficient in a time-fractional diffusion-wave equation by using the measured data at a boundary point (Q5039363) (← links)
• A Proximal Markov Chain Monte Carlo Method for Bayesian Inference in Imaging Inverse Problems: When Langevin Meets Moreau (Q5044995) (← links)
• Inverse potential problem for a semilinear generalized fractional diffusion equation with spatio-temporal dependent coefficients (Q5056798) (← links)
• Regularization properties of LSQR for linear discrete ill-posed problems in the multiple singular value case and best, near best and general low rank approximations (Q5117399) (← links)
• A NOVEL REGULARIZATION METHOD AND APPLICATION TO LOAD IDENTIFICATION OF COMPOSITE LAMINATED CYLINDRICAL SHELL (Q5121229) (← links)
• Landweber–Fridman algorithms for the Cauchy problem in steady-state anisotropic heat conduction (Q5133809) (← links)
• Krylov Methods for Low-Rank Regularization (Q5146618) (← links)
• Recovering a time-dependent potential function in a time fractional diffusion equation by using a nonlinear condition (Q5153250) (← links)
• Linearly involved generalized Moreau enhanced models and their proximal splitting algorithm under overall convexity condition (Q5220312) (← links)
• Solving inverse problems using data-driven models (Q5230520) (← links)
• Identifying a fractional order and a space source term in a time-fractional diffusion-wave equation simultaneously (Q5236697) (← links)
• A mollification method with Dirichlet kernel to solve Cauchy problem for two-dimensional Helmholtz equation (Q5236775) (← links)
• Variational method for a backward problem for a time-fractional diffusion equation (Q5242220) (← links)
• Motion Estimation and Correction in Photoacoustic Tomographic Reconstruction (Q5266373) (← links)
• Optimal Regularized Inverse Matrices for Inverse Problems (Q5270416) (← links)