Pages that link to "Item:Q1963908"
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The following pages link to Estimation of the \(L\)-curve via Lanczos bidiagonalization (Q1963908):
Displaying 50 items.
- Some matrix nearness problems suggested by Tikhonov regularization (Q281987) (← links)
- Large-scale Tikhonov regularization via reduction by orthogonal projection (Q413533) (← links)
- Efficient determination of the hyperparameter in regularized total least squares problems (Q436016) (← links)
- A new method for solving linear ill-posed problems (Q449465) (← links)
- Convex constrained optimization for large-scale generalized Sylvester equations (Q535294) (← links)
- An iterative Lagrange method for the regularization of discrete ill-posed inverse problems (Q614354) (← links)
- A new LAD curve-fitting algorithm: Slightly overdetermined equation systems in \(L_ 1\) (Q789142) (← links)
- Lanczos tridiagonalization and core problems (Q869895) (← links)
- A fast truncated Lagrange method for large-scale image restoration problems (Q884550) (← links)
- A new \(L\)-curve for ill-posed problems (Q935810) (← links)
- The Lagrange method for the regularization of discrete ill-posed problems (Q941807) (← links)
- Lanczos based preconditioner for discrete ill-posed problems (Q975318) (← links)
- An algorithm for image denoising with automatic noise estimate (Q993521) (← links)
- Error estimates for large-scale ill-posed problems (Q1027793) (← links)
- A computable error bound for matrix functionals (Q1301822) (← links)
- Tikhonov regularization and the L-curve for large discrete ill-posed problems (Q1591196) (← links)
- The block Lanczos algorithm for linear ill-posed problems (Q1675423) (← links)
- Some results on the regularization of LSQR for large-scale discrete ill-posed problems (Q1708059) (← links)
- Regula falsi based automatic regularization method for PDE constrained optimization (Q1757343) (← links)
- A regularizing L-curve Lanczos method for underdetermined linear systems (Q1854990) (← links)
- Large scale least squares scattered data fitting (Q1861983) (← links)
- The triangle method for finding the corner of the L-curve (Q1861990) (← links)
- Minimization of functionals on the solution of a large-scale discrete ill-posed problem (Q1944012) (← links)
- Old and new parameter choice rules for discrete ill-posed problems (Q1952308) (← links)
- GKB-FP: An algorithm for large-scale discrete ill-posed problems (Q1960212) (← links)
- A survey on variational characterizations for nonlinear eigenvalue problems (Q2055515) (← links)
- Tikhonov regularization with MTRSVD method for solving large-scale discrete ill-posed problems (Q2068645) (← links)
- Color image and video restoration using tensor CP decomposition (Q2100536) (← links)
- An efficient Gauss-Newton algorithm for solving regularized total least squares problems (Q2116040) (← links)
- RBF approximation of three dimensional PDEs using tensor Krylov subspace methods (Q2128023) (← links)
- Tensor Krylov subspace methods via the Einstein product with applications to image and video processing (Q2165871) (← links)
- A preconditioned multiple shooting shadowing algorithm for the sensitivity analysis of chaotic systems (Q2222553) (← links)
- Analysis of directed networks via partial singular value decomposition and Gauss quadrature (Q2249727) (← links)
- Conditional gradient Tikhonov method for a convex optimization problem in image restoration (Q2252731) (← links)
- A new variant of L-curve for Tikhonov regularization (Q2271977) (← links)
- Sylvester Tikhonov-regularization methods in image restoration (Q2370567) (← links)
- Regularization parameter determination for discrete ill-posed problems (Q2510005) (← links)
- The regularizing effect of the Golub-Kahan iterative bidiagonalization and revealing the noise level in the data (Q2655224) (← 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)
- GCV for Tikhonov regularization via global Golub-Kahan decomposition. (Q2829107) (← links)
- Square regularization matrices for large linear discrete ill-posed problems. (Q2864482) (← links)
- A Hybrid LSMR Algorithm for Large-Scale Tikhonov Regularization (Q3449797) (← links)
- Projected Newton method for noise constrained Tikhonov regularization (Q5000596) (← links)
- Discrete cosine transform LSQR and GMRES methods for multidimensional ill-posed problems (Q5080096) (← links)
- Seismic wavefield redatuming with regularized multi-dimensional deconvolution (Q5123705) (← links)
- (Q5153526) (← links)
- A Framework for Regularization via Operator Approximation (Q5254474) (← links)
- Greedy Tikhonov regularization for large linear ill-posed problems (Q5308815) (← links)
- A global Lanczos method for image restoration (Q5964607) (← links)
- Krylov methods for inverse problems: Surveying classical, and introducing new, algorithmic approaches (Q6144045) (← links)