Locally supported, quasi-interpolatory bases for the approximation of functions on graphs
From MaRDI portal
Publication:6635261
DOI10.1016/J.LAA.2024.09.011MaRDI QIDQ6635261
Edward J. Fuselier, Joseph P. Ward
Publication date: 9 November 2024
Published in: Linear Algebra and its Applications (Search for Journal in Brave)
Lagrange functionsgraph Laplaciangraph basis functionsapproximation on graphsvariational splines on graphs
Numerical computation using splines (65D07) Applications of graph theory (05C90) Spline approximation (41A15)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Decay estimates of discretized Green's functions for Schrödinger type operators
- Variational splines and Paley-Wiener spaces on Combinatorial graphs
- Interpolating splines on graphs for data science applications
- On the pseudo-inverse of the Laplacian of a bipartite graph
- Removable sets and approximation of eigenvalues and eigenfunctions on combinatorial graphs
- Discrete Green's functions
- A combinatorial Laplacian with vertex weights
- On fast computation of directed graph Laplacian pseudo-inverse
- Splines and wavelets on circulant graphs
- The Moore-Penrose inverse of the normalized graph Laplacian
- Laplacian eigenvectors of graphs. Perron-Frobenius and Faber-Krahn type theorems
- Localized Bases for Kernel Spaces on the Unit Sphere
- Kernel Approximation on Manifolds I: Bounding the Lebesgue Constant
- Wiener’s lemma for infinite matrices
- Sampling in Paley-Wiener spaces on combinatorial graphs
- A Multiscale Pyramid Transform for Graph Signals
- An inverse theorem for compact Lipschitz regions in ℝ^{𝕕} using localized kernel bases
- Introduction to Analysis on Graphs
- Laplacian Preconditioning of Elliptic PDEs: Localization of the Eigenvalues of the Discretized Operator
- Nonsubsampled Graph Filter Banks: Theory and Distributed Algorithms
- Learning Theory and Kernel Machines
- Scattered Data Approximation
This page was built for publication: Locally supported, quasi-interpolatory bases for the approximation of functions on graphs
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6635261)
