NetworkDynamics.jl—Composing and simulating complex networks in Julia

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Abstract

NetworkDynamics.jl is an easy-to-use and computationally efficient package for simulating heterogeneous dynamical systems on complex networks, written in Julia, a high-level, high-performance, dynamic programming language. By combining state-of-the-art solver algorithms from DifferentialEquations.jl with efficient data structures, NetworkDynamics.jl achieves top performance while supporting advanced features such as events, algebraic constraints, time delays, noise terms, and automatic differentiation.

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Lindner, M., Lincoln, L., Drauschke, F., Koulen, J. M., Würfel, H., Plietzsch, A., & Hellmann, F. (2021). NetworkDynamics.jl—Composing and simulating complex networks in Julia. Chaos, 31(6). https://doi.org/10.1063/5.0051387

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