forward_petsc

Forward solver to save the optimal result

forward_petsc.forward(D, a, K, im0, im, T, dt, sfiles)

Solve the forward KPP problem.

Parameters:

• D float: diffusion coefficient.

• a float: growth coefficient.

• K float: capacity coefficient.

• im0 numpy array: image of the initial inoculum.

• T number: final time.

• dt float: time step.

• sfiles str: folder containing the images.

Return:

The solution of the forward KPP equation.