2.4.4 Custom noise

This example solves a diffusion equation with a custom noise.

custom noise
  0%|          | 0/10.0 [00:00<?, ?it/s]
Initializing:   0%|          | 0/10.0 [00:00<?, ?it/s]
  0%|          | 0/10.0 [00:03<?, ?it/s]
  0%|          | 0.01/10.0 [00:03<56:49, 341.27s/it]
  3%|▎         | 0.3/10.0 [00:03<01:50, 11.39s/it]
 54%|█████▍    | 5.42/10.0 [00:03<00:02,  1.56it/s]
 54%|█████▍    | 5.42/10.0 [00:03<00:02,  1.54it/s]
100%|██████████| 10.0/10.0 [00:03<00:00,  2.84it/s]
100%|██████████| 10.0/10.0 [00:03<00:00,  2.84it/s]

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 3.582 seconds)