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Probabilistic design of experimentsΒΆ

In this example we are going to expose the available probabilistic design of experiments generated according to a specified distribution and a specified number of points.

import openturns as ot
import openturns.viewer as viewer
from matplotlib import pylab as plt

ot.Log.Show(ot.Log.NONE)

Create the target distribution

distribution = ot.Normal(2)
N = 300

  1. Monte Carlo

experiment = ot.MonteCarloExperiment(distribution, N)
sample = experiment.generate()
graph = ot.Cloud(sample)
view = viewer.View(graph)
plot probabilistic design

  1. LHS

experiment = ot.LHSExperiment(distribution, N)
sample = experiment.generate()
graph = ot.Cloud(sample)
view = viewer.View(graph)
plt.show()
plot probabilistic design

Total running time of the script: ( 0 minutes 0.062 seconds)