Callbacks on Newton solver

You can create a custom nonlinear problem instance that allows arbitrary code to execute while forming the residual and/or Jacobian. See the following example:

from dolfin import *

mesh = UnitSquareMesh(10,10)
V = FunctionSpace(mesh,"Lagrange",1)
u = Function(V)
v = TestFunction(V)
x = SpatialCoordinate(mesh)
f = x[0]*x[1]
res = (1.0+u*u)*inner(grad(u),grad(v))*dx + inner(u,v)*dx - inner(f,v)*dx
Dres = derivative(res,u)

class CustomNonlinearProblem(NonlinearProblem):
    def F(self,b,x):

        #########################################
        print("Executing arbitrary Python code.")
        #########################################
        
        return assemble(res,tensor=b)
    def J(self,A,x):
        return assemble(Dres,tensor=A)

problem = CustomNonlinearProblem()
solver = PETScSNESSolver()
solver.solve(problem,u.vector())