ellipsoid test objective function with "constraints"

Given all "previous" candidate solutions and their respective function values, the state of a `CMAEvolutionStrategy` object can be r

return ``self.evaluations``, the number of evalutions to get a single fitness measurement

return True, if any variable is bounded

Check on the status of executing jobs.

return likelihood of x for the normal density N(m, sigma**2 * Cinv**-1)

ridge like linear function with one linear constraint

return log-likelihood of `x` regarding the current sample distribution

obsolete and subject to removal (TODO), return indices for negative ("active") update of the covariance matrix assuming that ``f_val

obsolete and subject to removal (TODO), return modified f-values such that for each mirror one becomes worst. This function is use

noise=10 does not work with default popsize, noise handling does not help

find minimizer of `objectivefct` by iterating over `OOOptimizer` `self` with verbosity `verb_disp`, using `BaseDataLogger` `logger` with at