On the stochastic robustness of complete clustering predictability for a first‐order consensus model-Reference-Cited by-同舟云学术

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On the stochastic robustness of complete clustering predictability for a first‐order consensus model

Published:2021-12-29 Issue: Volume: Page:
ISSN:0022-2526
Container-title:Studies in Applied Mathematics
language:en
Short-container-title:Stud Appl Math

Author:

Ko Dongnam¹,Ha Seung‐Yeal²,Shim Woojoo³

Affiliation:

1. Department of Mathematics Catholic University of Korea Bucheon Gyeonggi‐do Republic of Korea

2. Department of Mathematical Sciences and Research Institute of Mathematics Seoul National University Seoul Republic of Korea

3. Research Institute of Basic Sciences Seoul National University Seoul Republic of Korea

Funder

Catholic University of Korea

National Research Foundation of Korea

Publisher

Wiley

Subject

Applied Mathematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/sapm.12478

Reference56 articles.

1. Vehicular traffic, crowds, and swarms: From kinetic theory and multiscale methods to applications and research perspectives

2. Challenges in active particles methods: theory and applications;Bellomo N;Math Models Methods Appl Sci,2018

3. Chemical Oscillations, Waves, and Turbulence

4. Self‐entrainment of a population of coupled non‐linear oscillators;Kuramoto Y.;Int Symp Math Problems Theor Phys, Lecture Notes in Phys,1975

5. Synchronization

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1. Stochastic flocking dynamics of the inertial spin model with state‐dependent noises;Studies in Applied Mathematics;2023-07-07

2. Collective behaviors of stochastic agent-based models and applications to finance and optimization;Mathematical Models and Methods in Applied Sciences;2023-04-26

3. Emergence of state-locking for the first-order nonlinear consensus model on the real line;Kinetic and Related Models;2023

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