Nodal domain count for the generalized graph \(p\)-Laplacian
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Publication:2689133
DOI10.1016/j.acha.2022.12.003OpenAlexW4311778527MaRDI QIDQ2689133
P. Deidda, Mario Putti, Francesco Tudisco
Publication date: 9 March 2023
Published in: Applied and Computational Harmonic Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2201.01248
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Cites Work
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- On nodal domains and higher-order Cheeger inequalities of finite reversible Markov processes
- Nodal domains of eigenvectors for 1-Laplacian on graphs
- Positive solutions for discrete boundary value problems involving the p-Laplacian with potential terms
- A lower bound for nodal count on discrete and metric graphs
- Handbook of applied analysis
- Eigenvalues and expanders
- Perron-Frobenius type results and discrete versions of nodal domain theorems
- Some geometric aspects of graphs and their eigenfunctions
- On the generalization of the Courant nodal domain theorem
- A nodal domain theorem and a higher-order Cheeger inequality for the graph \(p\)-Laplacian
- Note on a nonlinear eigenvalue problem
- A discrete nodal domain theorem for trees
- Analysis and algorithms for \(\ell_p\)-based semi-supervised learning on graphs
- Multi-class transductive learning based on \(\ell^1\) relaxations of Cheeger cut and Mumford-Shah-Potts model
- Dirichlet \(p\)-Laplacian eigenvalues and Cheeger constants on symmetric graphs
- Nodal domain and eigenvalue multiplicity of graphs
- Bounds for the largest \(p\)-Laplacian eigenvalue for graphs
- An Algebraic Analysis of the Graph Modularity
- Spectral Sparsification of Graphs
- Can One Count the Shape of a Drum?
- On the Equation div( | ∇u | p-2 ∇u) + λ | u | p-2 u = 0
- Bounds on the L 2 Spectrum for Markov Chains and Markov Processes: A Generalization of Cheeger's Inequality
- On the $p$-Laplacian and $\infty$-Laplacian on Graphs with Applications in Image and Data Processing
- Nodal domains on graphs - How to count them and why?
- Eigenvectors of acyclic matrices
- The game theoreticp-Laplacian and semi-supervised learning with few labels
- Analysis of $p$-Laplacian Regularization in Semisupervised Learning
- Variational Methods
- Resolving isospectral ‘drums’ by counting nodal domains
- Nodal domain counts and the chromatic number of graphs
- Discrete nodal domain theorems
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