Conceptually cleaner, and makes for simpler code.  Most importantly, we will want
to pass the Basis::LocalView to the local assemblers.  For that we need the actual
basis, not just the grid view and local finite element.

[[Imported from SVN: r10082]]

[[Imported from SVN: r10081]]

At least the harmonicmaps.cc example still works as before.
[caveat: only tested without HAVE_MPI]
Internally, at various places in the code, a dune-fufem basis is still constructed
from the dune-functions one.  These parts can be ported one by one, as dune-fufem
slowly replaces its own bases by the ones from dune-functions.

[[Imported from SVN: r10080]]

This is the first step towards moving to the dune-functions bases completely.

[[Imported from SVN: r10079]]

I am puzzled that this worked at all previously.

[[Imported from SVN: r10078]]

[[Imported from SVN: r10077]]

[[Imported from SVN: r10076]]

This is needed with the cmake build system.  I do not want to
debug this today.

[[Imported from SVN: r10075]]

While we are there, set all the flags in a loop, so we don't have
to keep copying boilerplate code as the number of programs to build
increases.

[[Imported from SVN: r10074]]

We start moving to the new infrastructure for functions
and function space bases.

[[Imported from SVN: r10073]]

[[Imported from SVN: r10072]]

[[Imported from SVN: r10070]]

[[Imported from SVN: r10069]]

[[Imported from SVN: r10068]]

Which is the type returned by the derivativeOfProjection method.

[[Imported from SVN: r10067]]

Some of these Python functions are so long that you cannot reasonably keep
them in a single string in a ParameterTree entry.  To be more flexible here
the initial iterate function is now expected in a separate file.

[[Imported from SVN: r10066]]

[[Imported from SVN: r10064]]

[[Imported from SVN: r10063]]

[[Imported from SVN: r10062]]

[[Imported from SVN: r10061]]

Patch by Jonathan Youett

[[Imported from SVN: r10056]]

Patch by Jonathan Youett

[[Imported from SVN: r10055]]

This is a fall-out from the recent move to use all the parallel code
only when HAVE_MPI is set.  Very ugly, but I still don't know any other
way to have P3 spaces.

Patch by Jonathan Youett

[[Imported from SVN: r10054]]

Patch by Jonathan Youett

[[Imported from SVN: r10053]]

Use std::vector instead of C-array as clang does not support initialization of a C-array by a variable.

Patch by Jonathan Youett

[[Imported from SVN: r10052]]

Patch by Jonathan Youett

[[Imported from SVN: r10051]]

[[Imported from SVN: r10050]]

Nobody uses Amira, so the AmiraMesh format is obsolete.

[[Imported from SVN: r10049]]

[[Imported from SVN: r10048]]

I don't see an elegant way to make this work for a P3 space, even on a single
processor.  Since I need P3 measurements real soon now, I just disable the
entire code.  Not nice.

[[Imported from SVN: r10047]]

The multigrid hierarchy is built in two different ways, depending on whether
we use a P1NodalBasis for the discretization, or anything else.  Previously,
this switch was made using the preprocessor.  The patches changes the code
to use std::is_same instead.

[[Imported from SVN: r10046]]

[[Imported from SVN: r10037]]

This is much cleaner than handing over the Grid only, and then trying
to guess the basis using the preprocessor.  After all, the
RiemannianTrustRegionSolver calls the assembler, so it may know the
function space basis.

[[Imported from SVN: r10035]]

By introducing a factory class that produces GlobalMapper and LocalMapper
types for a given dune-fufem-style function space basis.

[[Imported from SVN: r10034]]

[[Imported from SVN: r10033]]

[[Imported from SVN: r10032]]

[[Imported from SVN: r10031]]

... while keeping compatible with dune 2.3

[[Imported from SVN: r10030]]

This is actually what is claimed in the paper.  Previously, the mirror
axis was y=0.005.  Having the grid symmetric across the x-axis itself
simplifies the expressions for the boundary conditions a little bit.

[[Imported from SVN: r10029]]

Kudos to Carsten Gräser for those new Python functions.

[[Imported from SVN: r10028]]