Write a msg to stderr.

return ``(x, f, evals)``

append some logging data from `CMAEvolutionStrategy` class instance `es`, if ``number_of_times_called % modulo`` equals to zero, never if ``m

Random test objective function

set can assign versatile options from `Options.versatileOptions()` with a new value, use `init()` for the others. Arguments

return logged data in a dictionary (not implemented)

load from file

maps the genotypic input argument into the phenotypic space, boundaries are only applied if argument ``bounds is not None``, see hel

plot the data we have, return ``self``

return a dictionary with default option values and description, calls `fmin([], [])`

Get the path to the job file corresponding to a job object.

plot data from files written by a `CMADataLogger`, the call ``cma.plot(name, **argsdict)`` is a shortcut for ``cma.CMADataLogger(name)

TODO: check scaling of r-learing: seems worse than linear: 9e3 25e3 65e3 (10,20,40-D)

Evaluates and sets the specified option value in environment `loc`. Many options need `N` to be defined in `loc`, some need `popsize

maps the phenotypic input argument into the genotypic space. If `bounds` are given, first `y` is projected into the feasible domain.

Sphere (squared norm) test objective function

abstract method, return satisfied termination conditions in a dictionary like ``{'termination reason': value, ...}``, for example ``{'tolfun'

return a dictionary with the termination status. With ``check==False``, the termination conditions are not checked and the status mi

rudimentary method to read in data from a file

Ellipsoid test objective function

abstract method, return ``(x, f(x), ...)``, that is, the minimizer, its function value, ...

Run a shell command (blocking until completion).

checks for better solutions in list `arx`, based on the smallest corresponding value in `arf`, alternatively, `update` may be called