1. Add unit testing for crazier things like random invertible matrices.

2. Copy the intro from my thesis into README.rst, and add a section
   explaining the CVXOPT formulation.

3. Try to eliminate the code in matrices.py.

4. Make it work on a cartesian product of cones in the correct order.

5. Make it work on a cartesian product of cones in the wrong order
   (apply a perm utation before/after).

6. Rename all of my variables so that they don't conflict with CVXOPT.
   Maybe x -> xi and y -> gamma in my paper, if that works out.

7. Make sure we have the dimensions of the PSD cone correct.

8. Come up with a fast heuristic (like making nu huge and taking e1 as
   our point) that finds a primal feasible point.

9. We only need to include the API docs for dunshire.games in the
   "user manual;" everything else can go in an appendix.

10. The ice cream cone tests sometimes fail. It can happen that we get
    an "unknown" back from CVXOPT, or simply that we don't get the
    expected answer in self.assertTrue(abs(first - second) <
    options.ABS_TOL).