CMA-ES/pycma r4.4.3 on GitHub

Addressing issue 231, failures
in corner cases with large population size, by increasing the step-size
damping of CSA and TPA. This seems also to improve the performance on
bbob-f24 in 10 and 20-D while worsening the performance on bbob-f23 in 10 and
40-D.
Provide option 'TPA_dampfac' analogous to 'CSA_dampfac'.
Plots now show the current best solution and the distribution mean in two subplots.
New:
- Provide the two (by far) most useful statistical tests with a tidy
  interface in cma.utilities.math.test...
- Provide a more_algorithms sub-package containing purecma and CompactGA.
- Provide a provisional experimentation module (requires import cma.experimentation).
A few smaller fixes and improvements.

Full Changelog: r4.4.2...r4.4.3