The following pages link to A Newton basis for kernel spaces (Q1048982):
Displaying 32 items.
- Approximation of eigenfunctions in kernel-based spaces (Q314464) (← links)
- Convergence analysis of general spectral methods (Q344277) (← links)
- Greedy sparse linear approximations of functionals from nodal data (Q483276) (← links)
- Better bases for radial basis function interpolation problems (Q651100) (← links)
- Bases for kernel-based spaces (Q651113) (← links)
- Fast computation of orthonormal basis for RBF spaces through Krylov space methods (Q906945) (← links)
- Using Newton basis functions for solving diffusion equation with nonlocal boundary condition (Q1742866) (← links)
- A local reproducing kernel method accompanied by some different edge improvement techniques: application to the Burgers' equation (Q1787772) (← links)
- Sampling based approximation of linear functionals in reproducing kernel Hilbert spaces (Q2114113) (← links)
- An adaptive sparse kernel technique in greedy algorithm framework to simulate an anomalous solute transport model (Q2209423) (← links)
- A weak-form RBF-generated finite difference method (Q2308478) (← links)
- Local variably scaled Newton basis functions collocation method for solving Burgers' equation (Q2323466) (← links)
- Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario (Q2418682) (← links)
- A Galerkin-reproducing kernel method: application to the 2D nonlinear coupled Burgers' equations (Q2450974) (← links)
- A new stable basis for radial basis function interpolation (Q2453176) (← links)
- Preconditioning for radial basis function partition of unity methods (Q2629254) (← links)
- Analysis of target data-dependent greedy kernel algorithms: convergence rates for \(f\)-, \(f \cdot P\)- and \(f/P\)-greedy (Q2699021) (← links)
- A greedy meshless local Petrov-Galerkin methodbased on radial basis functions (Q2808865) (← links)
- 9 Kernel methods for surrogate modeling (Q3384280) (← links)
- Stable Likelihood Computation for Gaussian Random Fields (Q4562661) (← links)
- Weakly Normal Basis Vector Fields in RKHS with an Application to Shape Newton Methods (Q4646437) (← links)
- A meshless technique based on the radial basis functions for solving systems of partial differential equations (Q5076667) (← links)
- Cholesky-Based Experimental Design for Gaussian Process and Kernel-Based Emulation and Calibration (Q5163220) (← links)
- Numerical solution of sigularly perturbed parabolic problems by a local kernel-based method with an adaptive algorithm (Q5212571) (← links)
- Greedy Kernel Approximation for Sparse Surrogate Modeling (Q5225296) (← links)
- Small errors imply large evaluation instabilities (Q6038830) (← links)
- \(H\)-sets for kernel-based spaces (Q6093306) (← links)
- Weighted singular value decomposition basis of Szegő kernel and its applications to signal reconstruction and denoising (Q6099470) (← links)
- Full-rank orthonormal bases for conditionally positive definite kernel-based spaces (Q6556713) (← links)
- On the optimality of target-data-dependent kernel greedy interpolation in Sobolev reproducing kernel Hilbert spaces (Q6622686) (← links)
- On the convergence of generalized kernel-based interpolation by greedy data selection algorithms (Q6660007) (← links)
- Generic preconditioning based on the inverse with respect to the semi-inner product for iterative solvers for radial basis function interpolation (Q6664854) (← links)
