Sphere (squared norm) test objective function

plot data (not implemented)

plot data (not implemented)

plot data from a `CMADataLogger` (using the files written by the logger). Arguments --------- `fig`

number of samples by default returned by` ask()`

print data of iteration i

print data of iteration i

Rastrigin test objective function

reads dynamic parameters from property file (not implemented)

abstract method, register an optimizer `optim`, only needed if `add()` is called without a value for the `optim` argument

abstract method, register an optimizer `optim`, only needed if `add()` is called without a value for the `optim` argument

sets out-of-bounds components of ``x`` on the bounds. Arguments --------- `bounds` can be `None`, in

happy cat by HG Beyer

needs exponential number of steps in a non-increasing f-sequence. x_0 = (-1,1,...,1) See Jarre (2011) "On Nesterov's Smooth Chebys

returns ``fun(rotation(x), *args)``, ie. `fun` applied to a rotated argument

Run a shell based job.

saves logger data to a different set of files, for ``switch=True`` also the loggers name prefix is switched to the new value

saves logger data to a different set of files, for ``switch=True`` also the loggers name prefix is switched to the new value

Schaffer function x0 in [-100..100]

multimodal Schwefel function with domain -500..500

asymmetric Sphere (squared norm) test objective function

return the subset of those options that are settable at any time. Settable options are in `versatileOptions()`, but the l

returns sometimes np.NaN, otherwise fun(x)

Sphere (squared norm) with sum x_i = 1 test objective function

Submit a job for local execution.

Schedule a job for execution.

Tablet test objective function

return C**0.5 times mat, where mat can be a vector or matrix. Not functional, because _Croot=C**0.5 is never computed (should be in updateBD)

Cigtab test objective function

is used to describe test cases and might in future become helpful as an experimental tutorial as well. The main testing feature at the momen

updates the weights for computing a boundary penalty. Arguments --------- `function_values` all function val

return True if `vec` has the value `default_val`, None or [None] are also recognized as default