Is it possible to solve this without introducing the design pattern
with a class FunctionAssigner? We have been careful to avoid this in
other places.

--
Anders



On Mon, Sep 23, 2013 at 07:20:03PM +0200, Johan Hake wrote:
> I am working on sub-function assignment. To facilitate caching of dof indices
> for a particular assignment combination I suggest introducing a
> FunctionAssigner class which caches the necessary indices (dofs) for the whole
> domain.
>
> Something like:
>
>   mesh = UnitSquareMesh(10,10)
>   V = FunctionSpace(mesh, "CG", 1)
>   VV = V*V
>
>   # Assign two scalar functions to the components of a mixed function
>   assigner0 = FunctionAssigner([V, V], VV)
>
>   # Assign components of a mixed function to scalar Functions
>   assigner1 = FunctionAssigner(VV, [V, V])
>
>   # Assign a scalar function to a component of a mixed function
>   assigner2 = FunctionAssigner(V, VV.sub(1))
>
>   u0, u1 = Function(V), Function(V)
>   U = Function(VV)
>
> Then in some time loop:
>
>   while t < tstop:
>       ...
>       assigner0.assign([u0, u1], U)
>       ...
>       assigner1.assign(U, [u0, u1])
>       ...
>       assigner2.assign(u0, U.sub(1))
>
> In C++ the equivalent to a list of Foo will be a std::vector of shared Foos.
>
> Comments?
>
> By using sub spaces and sub functions we avoid using indices in the interface,
> which I think is neat. However, there are some limitations with the present
> interface:
>
> 1) The FunctionAssigner needs to have access to the local ownership range of a
> sub dofmap, but that is not possible as it is set to 0,0 during construction.
> Could we add a proper local ownership range to a sub dofmap?
> 2) The FunctionAssigner need to be able to access the private _vector of a
> parent Function during the assignment, as calling subfunc.vector() raises an
> error. This can be fixed by a friend statement. Is that acceptable?
>
> Johan

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