I took the formula from

 http://en.wikipedia.org/wiki/Eigenvalue_algorithm  (retrieved lated August 2014).

Wikipedia claims to have taken it from

 Smith, Oliver K. (April 1961), Eigenvalues of a symmetric 3 × 3 matrix,
 Communications of the ACM 4 (4): 168, doi:10.1145/355578.366316

I did not check stability of efficiency of this, but no problems related to
either are mentioned in the literature.  The main reason I need the closed-form
expression is to be able to pipe it into an algorithmic differentiation system.

[[Imported from SVN: r7431]]

[[Imported from SVN: r7430]]

Ignore eigenvaluetest.
Reordner member variable assignments to avoid pedantic warnings in
shared_ptr.
Only activate boundary checking in dynmatrixtest if not already active.

[[Imported from SVN: r7063]]

[[Imported from SVN: r7062]]

Capabilities to compute eigenvalues on non-symmetric matrices
Code contributed by Arne Morten Kvarving.

[[Imported from SVN: r7061]]

With the exception of mpicollectivecommunication.hh
and propertymap.hh, which I didn't understand.

[[Imported from SVN: r6784]]

[[Imported from SVN: r6403]]

* not in the documentation, that the methods only work for symetric
  matrices
* hide the whole function, if LAPACK is missing

[[Imported from SVN: r6204]]

* update Makefiles and configure

[[Imported from SVN: r5643]]

[[Imported from SVN: r5572]]

[[Imported from SVN: r5530]]

(using LAPACK for dim > 2)


[[Imported from SVN: r5516]]