fmin_l_bfgs_b(func, x0, fprime=None, args=(), approx_grad=0, bounds=None, m=10, factr=10000000.0, pgtol=1e-05, epsilon=1e-08, iprint=-1, maxfun=15000, maxiter=15000, disp=None, callback=None, maxls=20)

Notes

Parameters

func : callable f(x,*args)

x0 : ndarray

fprime : callable fprime(x,*args), optional

args : sequence, optional

approx_grad : bool, optional

bounds : list, optional

m : int, optional

factr : float, optional

pgtol : float, optional

epsilon : float, optional

iprint : int, optional

disp : int, optional

maxfun : int, optional

maxiter : int, optional

callback : callable, optional

maxls : int, optional

Returns

x : array_like

f : float

d : dict

See Also

minimize

:None:None:`method`

:None:None:`ftol`

:None:None:`factr`

:None:None:`factr`

:None:None:`ftol`

Examples

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

scipy.optimize._lbfgsb_py:_minimize_lbfgsb

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GitHub : /scipy/optimize/_lbfgsb_py.py#48
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