Now the singular matrix error when calling quadprog is captured and no eigenvalue decomposition is necessary (the argument control_numerical_ill_conditioning in design() is not necessary).

Also, the convergence criteria has been fixed (for cases where the variables or objective value were almost zero already).

Author: dppalomar

setup.py

@@ -4,7 +4,7 @@
 import setuptools
 import os
 
-__version__ = "0.5.1"
+__version__ = "0.6.0"
 
 # Prepare and send a new release to PyPI
 if "release" in sys.argv[-1]: