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# Python-Programs | ||
# Python-Programs | ||
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Python Scripts for 2D, 3D and 4D Flows | ||
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These Python programs can be downloaded from GitHub at | ||
https://github.rcac.purdue.edu/nolte/Python-Programs-for-Nonlinear-Dynamics | ||
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DampedDriven.py | ||
Driven-damped oscillators. Options are: driven-damped pendulum and driven-damped double well potential. Plots a two-dimensional Poincaré section. | ||
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DoublePendulum.py | ||
Double pendulum. | ||
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Duffing.py | ||
Duffing oscillator. | ||
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DWH.py | ||
Biased double well. | ||
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Flow2D.py | ||
Simple flows for 2D autonomous dynamical systems. Options are: Medio, van der Pol, and Fitzhugh-Nagumo models. | ||
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Flow2DBorder.py | ||
Same as Flow2D.py but with initial conditions set on the boarder of the phase portrait. | ||
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Flow3D.py | ||
Flows for 3D autonomous dynamical systems. Options are: Lorenz, Rössler and Chua’s Circuit. | ||
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gravlens.py | ||
Gravitational lensing | ||
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Hamilton4D.py | ||
Hamiltonian flows for 4D autonomous systems. Options are: Henon-Heiles potential, and the crescent potential. Plots a two-dimensional Poincaré section. | ||
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Heiles.py | ||
Henon-Heiles and also a crescent model | ||
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HenonHeiles.py | ||
Standalone Henon-Heiles model. | ||
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Hill.py | ||
Hill potentials for 3-body problem. | ||
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Kuramoto.py | ||
Kuramoto synchronization of phase oscillators on a complete graph. | ||
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logistic.py | ||
Logistic discrete map, plus some other choices. | ||
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Lozi.py | ||
Discrete iterated Lozi map conserves volume. | ||
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NetDynamics.py | ||
Coupled phase oscillators on various network topologies. Has more options than coupleNdriver.py. | ||
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NetSIR.py | ||
SIR viral infection model on networks | ||
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NetSIRS.py | ||
SIRS viral infection model on networks | ||
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PenInverted.py | ||
Inverted pendulum. | ||
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Perturbed.py | ||
Driven undampded oscillators with a plane-wave perturbation. Options are: pendulum and double-well potential. These are driven nonlinear Hamiltonian systems. When driven at small perturbation amplitude near the separatrix, chaos emerges. These systems do not conserve energy, because there is a constant input and output of energy as the system reacts against the drive force. Plots a two-dimensional Poincaré section. | ||
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raysimple.py | ||
Eikonal equation simulator. | ||
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SIR.py | ||
SIR homogeneous COVID-19 model | ||
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SIRS.py | ||
SIRS homogeneous COVID-19 model | ||
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SIRWave.py | ||
Covid-19 second wave model | ||
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StandMap.py | ||
The Chirikov map, also known as the standard map, is a discrete itereated map with winding numbers and islands of stability. | ||
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StandMapHom.py | ||
Homoclinic tangle for the standard map. | ||
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StandMapTwist.py | ||
The Standard Map in twist format | ||
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trirep.py | ||
Replicator dynamics in 3D simplex format. | ||
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UserFunction.py | ||
Growing library of user functions | ||
linfit.py – linear regression function | ||
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WebMap.py | ||
The discrete map of a periodically kicked oscillator displays a web of dynamics. | ||
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(Selected Python programs can be found at the Galileo Unbound Blog Site: | ||
https://galileo-unbound.blog/tag/python-code/) | ||
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