diffusion_pde, an Octave code which solves the diffusion partial differential equation (PDE) dudt = mu * d2udx2 in one spatial dimension and time, with a constant diffusion coefficient mu, and periodic or zero Neumann boundary conditions, using the forward time centered space (FTCS) solver or ode45().
We solve for u(x,t), the solution of the constant-velocity diffusion equation in 1D,
du/dt - mu d2u/dx2 = 0over the interval:
0.0 <= x <= 1.0with constant diffusion coefficient:
mu = 0.5with periodic boundary conditions:
u(0,t) = u(1,t) for all tor zero Neumann conditions:
u'(0,t) = u'(1,t) = 0 for all tand initial condition
u(x,0) = (10x-6)^2 (8-10x)^2 for 0.6 <= x <= 0.8 = 0 elsewhere.
We may use a method known as FTCS (forward time, centered space):
The information on this web page is distributed under the MIT license.
diffusion_pde is available in a MATLAB version and an Octave version and a Python version.
advection_pde, an Octave code which solves the advection PDE dudt + c * dudx = 0 in one spatial dimension, with a constant velocity c, and periodic boundary conditions, using the forward time centered space (FTCS) method.
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gray_scott_pde, an Octave code which solves the partial differential equation (PDE) known as the Gray-Scott reaction diffusion equation, displaying a sequence of solutions as time progresses.
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schroedinger_nonlinear_pde, an Octave code which solves the complex partial differential equation (PDE) known as Schroedinger's nonlinear equation: dudt = i uxx + gamma * |u|^2 u, in one spatial dimension, with Neumann boundary conditions.
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