Pattern Formation in Random Networks Using Graphons-Reference-Cited by-同舟云学术

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Pattern Formation in Random Networks Using Graphons

Published:2023-06-14 Issue:3 Volume:55 Page:2150-2185
ISSN:0036-1410
Container-title:SIAM Journal on Mathematical Analysis
language:en
Short-container-title:SIAM J. Math. Anal.

Author:

Bramburger Jason¹^ORCID,Holzer Matt¹²

Affiliation:

1. Department of Mathematics and Statistics, Concordia University, Montréal H3G 1M8, QC, Canada.

2. Department of Mathematical Sciences, George Mason University, Fairfax, VA 22030 USA; and Center for Mathematics and Artificial Intelligence (CMAI), George Mason University, Fairfax, VA 22030 USA.

Funder

National Science Foundation

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,Computational Mathematics,Analysis

Reference45 articles.

1. Dynamics of pattern formation in lateral-inhibition type neural fields

2. Limits of randomly grown graph sequences

3. An $L^p$ theory of sparse graph convergence I: Limits, sparse random graph models, and power law distributions

4. Isolas of multi-pulse solutions to lattice dynamical systems

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1. Turing Bifurcation in the Swift–Hohenberg Equation on Deterministic and Random Graphs;Journal of Nonlinear Science;2024-07-16

2. Cross-diffusion induced instability on networks;Journal of Complex Networks;2024-02-21

3. Trends and Questions in Open Multi-agent Systems;Lecture Notes in Control and Information Sciences;2024

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