Approximation with conditionally positive definite kernels on deficient sets

DOI10.1007/978-3-030-57464-2_3zbMath1477.65034arXiv2006.13543OpenAlexW3168029831MaRDI QIDQ2050349

O. V. Davydov

Publication date: 30 August 2021

Full work available at URL: https://arxiv.org/abs/2006.13543

zbMATH Keywords

numerical differentiationsaddle point problemoptimal recoveryconditionally positive definite kernels

Mathematics Subject Classification ID

Numerical smoothing, curve fitting (65D10) Numerical differentiation (65D25) Approximation by other special function classes (41A30)

Related Items (3)

Improved stencil selection for meshless finite difference methods in 3D ⋮ Guidelines for RBF-FD discretization: numerical experiments on the interplay of a multitude of parameter choices ⋮ Error bounds for a least squares meshless finite difference method on closed manifolds

Cites Work

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• On the role of polynomials in RBF-FD approximations: II. Numerical solution of elliptic PDEs
• Minimal numerical differentiation formulas
• Error bounds for kernel-based numerical differentiation
• Numerical solution of saddle point problems
• A Primer on Radial Basis Functions with Applications to the Geosciences
• Optimal stencils in Sobolev spaces
• Scattered Data Approximation

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