SINDyG extends SINDy by adding a graph-informed penalty to sparse regression, yielding more accurate and simpler models of network dynamics on Stuart-Landau oscillator networks than standard SINDy.
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Numerical simulations of an Alpha Group-derived ODE system show qualitative transitions from Euclidean to non-Euclidean regimes as a rotation parameter increases from 0 to π/2.
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SINDyG: Sparse Identification of Nonlinear Dynamical Systems from Graph-Structured Data, with Applications to Stuart-Landau Oscillator Networks
SINDyG extends SINDy by adding a graph-informed penalty to sparse regression, yielding more accurate and simpler models of network dynamics on Stuart-Landau oscillator networks than standard SINDy.
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The Extended Alpha Group Dynamic Mapping
Numerical simulations of an Alpha Group-derived ODE system show qualitative transitions from Euclidean to non-Euclidean regimes as a rotation parameter increases from 0 to π/2.