Exemplos de Simulation.sigma em Python

Exemplo n.º 1

Arquivo: collapse_simulation_long.py Projeto: jvkersch/hopf-vortices

from hopf.simulation import Simulation

# Sphere integrator
s = Simulation()
s.load_initial_conditions('collapse3.mat')

# Medium regularization
s.sigma = 0.10
s.run_simulation(tmax=500, numpoints=500, sim='sphere-midpoint')
s.post_process()
s.save_results('data/collapse3_sphere_sigma10_sim_long.mat')

# Runge-Kutta, medium regularization
s.sigma = 0.10
s.run_simulation(tmax=500, numpoints=500, sim='rk4')
s.post_process()
s.save_results('data/collapse3_rk4_sigma10_sim_long.mat')

# Lie-Poisson, medium regularization
s.sigma = 0.10
s.run_simulation(tmax=500, numpoints=500, sim='lie-poisson')
s.post_process()
s.save_results('data/collapse3_lp_sigma10_sim_long.mat')

# Midpoint, medium regularization
s.sigma = 0.10
s.run_simulation(tmax=500, numpoints=500, sim='midpoint')
s.post_process()
s.save_results('data/collapse3_mp_sigma10_sim_long.mat')

Exemplo n.º 2

Arquivo: svs5_simulation_long.py Projeto: jvkersch/hopf-vortices

from hopf.simulation import Simulation

# Sphere integrator
s = Simulation()
s.load_initial_conditions('svs5_poles.mat')
s.sigma = 0.25
s.run_simulation(h=0.3, tmax=1000, sim='sphere-midpoint-momentum')
s.post_process()
s.save_results('data/svs5_poles_sphere_long_025.mat')

# RK4 integrator
s = Simulation()
s.load_initial_conditions('svs5_poles.mat')
s.sigma = 0.25
s.run_simulation(h=0.3, tmax=1000, sim='rk4')
s.post_process()
s.save_results('data/svs5_poles_rk4_long_025.mat')

# MP integrator
s = Simulation()
s.load_initial_conditions('svs5_poles.mat')
s.sigma = 0.25
s.run_simulation(h=0.3, tmax=1000, sim='midpoint')
s.post_process()
s.save_results('data/svs5_poles_mp_long_025.mat')

# LP integrator
s = Simulation()
s.load_initial_conditions('svs5_poles.mat')
s.sigma = 0.25
s.run_simulation(h=0.3, tmax=1000, sim='lie-poisson')

Exemplo n.º 3

Arquivo: collapse_simulation.py Projeto: jvkersch/hopf-vortices

from hopf.simulation import Simulation

# Sphere integrator
s = Simulation()
s.load_initial_conditions('collapse3.mat')

# No regularization
#s.sigma = 0.0
#s.run_simulation(tmax=15, numpoints=75, sim='sphere-midpoint')
#s.post_process()
#s.save_results('data/collapse3_sphere_sigma00_sim.mat')

# Medium regularization
s.sigma = 0.10
s.run_simulation(tmax=15, numpoints=75, sim='sphere-midpoint')
s.post_process()
s.save_results('data/collapse3_sphere_sigma10_sim.mat')

# Large regularization
s.sigma = 0.25
s.run_simulation(tmax=15, numpoints=75, sim='sphere-midpoint')
s.post_process()
s.save_results('data/collapse3_sphere_sigma25_sim.mat')

# Runge-Kutta, medium regularization
s.sigma = 0.10
s.run_simulation(tmax=15, numpoints=75, sim='rk4')
s.post_process()
s.save_results('data/collapse3_rk4_sigma10_sim.mat')

# Lie-Poisson, medium regularization