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Compute the L2 error between two functionsΒΆ

In this example we compute the L2 error between two functions.

import openturns as ot
import openturns.experimental as otexp
from openturns.usecases import ishigami_function

This is easy using the arithmetic operator - on two instances of the Function class.

im = ishigami_function.IshigamiModel()
partOfIshigamiFunction = ot.SymbolicFunction(
    ["x1", "x2", "x3"], ["7 * (sin(x2))^2 + 0.1 * x3^4 * sin(x1)"]
)
ot.RandomGenerator.SetSeed(0)
sampleSize = 1000
experiment = ot.MonteCarloExperiment(im.distributionX, sampleSize)
integration = otexp.ExperimentIntegration(experiment)
functionError = integration.computeL2Norm(im.model - partOfIshigamiFunction)
print(functionError)

[0.717618]