An abstract class that implements multi start optimization and should be sub-classed by other optimizers.
Constructs an instance of this optimizer.
int) – The number of trials for multi-start method. The first trial is solved with the initial guess of zero. If more than one trial is specified then initial guesses are uniformly drawn from
[lowerbound, upperbound]with potential clipping.
float) – Clipping parameter for the initial guesses in the multi-start method. If a variable is unbounded then the lower bound and/or upper bound are replaced with the
clipvalues correspondingly for the initial guesses.
ValueError – if the variable trials has a value smaller than 1.
Returns the clip value for this optimizer.
Returns the number of trials for this optimizer.
Applies a multi start method given a local optimizer.