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Symmetry in Complex Systems



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Autore: Machado J. A. Tenreiro Visualizza persona
Titolo: Symmetry in Complex Systems Visualizza cluster
Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica: 1 online resource (118 p.)
Soggetto topico: History of engineering and technology
Soggetto non controllato: adapted PageRank algorithm
adiabatic invariant
Banach space
bifurcation theory
biplex networks
Caputo derivative
complex networks
complex systems
conserved quantity
cooperative
divided difference
Fourier transform
fractional calculus
function approximation
generalized Fourier law
Kung-Traub method
Laplace transform
Lipschitz constant
local convergence
Mei symmetry
Mittag-Leffler function
mobile robots
multi-agent system (MAS)
multiplex networks
neighbor node
networks centrality
non-Fourier heat conduction
non-standard Lagrangians
nonlinear dynamical systems
Opportunistic complex social network
PageRank vector
probability model
quasi-fractional dynamical system
radius of convergence
reinforcement learning (RL)
social relationship
symmetry-breaking
Persona (resp. second.): LopesAntónio
MachadoJ. A. Tenreiro
Sommario/riassunto: Complex systems with symmetry arise in many fields, at various length scales, including financial markets, social, transportation, telecommunication and power grid networks, world and country economies, ecosystems, molecular dynamics, immunology, living organisms, computational systems, and celestial and continuum mechanics. The emergence of new orders and structures in complex systems means symmetry breaking and transitions from unstable to stable states. Modeling complexity has attracted many researchers from different areas, dealing both with theoretical concepts and practical applications. This Special Issue fills the gap between the theory of symmetry-based dynamics and its application to model and analyze complex systems.
Titolo autorizzato: Symmetry in Complex Systems  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910557292103321
Lo trovi qui: Univ. Federico II
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