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scipy.optimize.golden
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scipy.optimize.golden(func, args=(), brack=None, tol=1.4901161193847656e-08, full_output=0)
Given a function of one-variable and a possible bracketing interval,
return the minimum of the function isolated to a fractional precision of
tol.
Parameters : | func : callable func(x,*args)
Objective function to minimize.
args : tuple
Additional arguments (if present), passed to func.
brack : tuple
Triple (a,b,c), where (a<b<c) and func(b) <
func(a),func(c). If bracket consists of two numbers (a,
c), then they are assumed to be a starting interval for a
downhill bracket search (see bracket); it doesn’t always
mean that obtained solution will satisfy a<=x<=c.
tol : float
x tolerance stop criterion
full_output : bool
If True, return optional outputs.
|
Notes
Uses analog of bisection method to decrease the bracketed
interval.