2.5. Simple diffusion equation

This example solves a simple diffusion equation in two dimensions.

  0%|          | 0/10.0 [00:00<?, ?it/s]
Initializing:   0%|          | 0/10.0 [00:00<?, ?it/s]/home/docs/checkouts/readthedocs.org/user_builds/py-pde/checkouts/0.29.0/pde/grids/boundaries/local.py:1822: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details.
  def virtual_point(

  0%|          | 0/10.0 [00:10<?, ?it/s]
  0%|          | 0.00316/10.0 [00:10<9:15:00, 3331.11s/it]
  1%|          | 0.06658/10.0 [00:10<26:11, 158.18s/it]
 10%|9         | 0.96087/10.0 [00:10<01:39, 10.96s/it]
 10%|9         | 0.96087/10.0 [00:10<01:39, 10.97s/it]
100%|##########| 10.0/10.0 [00:10<00:00,  1.05s/it]
100%|##########| 10.0/10.0 [00:10<00:00,  1.05s/it]

from pde import DiffusionPDE, ScalarField, UnitGrid

grid = UnitGrid([64, 64])  # generate grid
state = ScalarField.random_uniform(grid, 0.2, 0.3)  # generate initial condition

eq = DiffusionPDE(diffusivity=0.1)  # define the pde
result = eq.solve(state, t_range=10)
result.plot()