Pages that link to "Item:Q1866491"

The following pages link to \(L\)-curve curvature bounds via Lanczos bidiagonalization (Q1866491):

Displaying 33 items.

• On the choice of solution subspace for nonstationary iterated Tikhonov regularization (Q306369) (← links)
• Large-scale Tikhonov regularization via reduction by orthogonal projection (Q413533) (← links)
• Tikhonov regularization based on generalized Krylov subspace methods (Q436015) (← links)
• Comparing parameter choice methods for regularization of ill-posed problems (Q551477) (← links)
• L-curve and curvature bounds for Tikhonov regularization (Q596674) (← links)
• An iterative method for Tikhonov regularization with a general linear regularization operator (Q616671) (← links)
• Simplified anti-Gauss quadrature rules with applications in linear algebra (Q684193) (← links)
• Matrices, moments, and rational quadrature (Q952044) (← links)
• A statistical view of iterative methods for linear inverse problems (Q1019114) (← links)
• Lower bound for \(L^{n/2}\) curvature norm and its application (Q1298379) (← links)
• Parameter determination for Tikhonov regularization problems in general form (Q1643811) (← 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)
• Solution methods for linear discrete ill-posed problems for color image restoration (Q1783374) (← 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)
• Estimation of the \(L\)-curve via Lanczos bidiagonalization (Q1963908) (← links)
• Computation of error bounds via generalized Gauss-Radau and Gauss-Lobatto rules (Q2029681) (← links)
• RBF approximation of three dimensional PDEs using tensor Krylov subspace methods (Q2128023) (← links)
• Automatic fidelity and regularization terms selection in variational image restoration (Q2162724) (← links)
• Tensor Krylov subspace methods via the Einstein product with applications to image and video processing (Q2165871) (← links)
• A simplified L-curve method as error estimator (Q2303352) (← links)
• On the computation of Gauss quadrature rules for measures with a monomial denominator (Q2345682) (← links)
• An iterative Lavrentiev regularization method (Q2433872) (← links)
• Parameter Choices for Fast Harmonic Spline Approximation (Q3120070) (← links)
• (Q3189099) (← links)
• Discrete cosine transform LSQR and GMRES methods for multidimensional ill-posed problems (Q5080096) (← links)
• (Q5153526) (← links)
• A Framework for Regularization via Operator Approximation (Q5254474) (← links)
• A Zeroth-Order Proximal Stochastic Gradient Method for Weakly Convex Stochastic Optimization (Q6066421) (← links)
• ADMM-based residual whiteness principle for automatic parameter selection in single image super-resolution problems (Q6155449) (← links)