Note
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2.4.4 Custom noise
This example solves a diffusion equation with a custom noise.

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from pde import DiffusionPDE, ScalarField, UnitGrid
class DiffusionCustomNoisePDE(DiffusionPDE):
"""Diffusion PDE with custom noise implementation."""
use_noise_variance = True
def make_noise_variance(self, state, *, backend, ret_diff=False):
"""Make function that calculates noise variance."""
noise = float(self.noise)
x_values = state.grid.cell_coords[..., 0]
def noise_variance(state_data, t):
return noise * x_values**2
return noise_variance
eq = DiffusionCustomNoisePDE(diffusivity=0.1, noise=0.1) # define the pde
state = ScalarField.random_uniform(UnitGrid([64, 64])) # generate initial condition
result = eq.solve(state, t_range=10, dt=0.01)
result.plot()
Total running time of the script: (0 minutes 4.248 seconds)