python - Does basinhopping of scipy changes stepsize randomly or adaptively, by default? -


i confused ‘take_step’ option in scipy.optimize.basinhopping:

according online reference:

the default step taking routine random displacement of coordinates ... take_step can optionally have attribute take_step.stepsize. if attribute exists, basinhopping adjust take_step.stepsize in order try optimize global minimum search.

according source (line 587, see below), however, scipy’s basinhopping uses adaptivestepsize default, , adjusts stepsize 0.9*stepsize or stepsize/0.9, etc., regardless of whether take_step.stepsize specified. 

# use default displace = randomdisplacement(stepsize=stepsize) take_step_wrapped = adaptivestepsize(displace, interval=interval, verbose=disp)

thus, understanding reading source of basinhopping is, default, procedure adaptively modify default stepsize (0.5) stepsize * factor, stepsize/factor, etc., following how many samplings have been accepted in metropolis-hasting procedure. confused because online reference of basinhopping, on other hand, seems indicate default stepsize totally random.

can clarify? if not provide take_step procedure basinhopping, try stepsize randomly, or modify stepsize adaptively? thanks.

the step size adaptively updated default. time not updated if pass custom take_step object not have attribute called stepsize


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