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leastsq(func, x0, args=(), Dfun=None, full_output=0, col_deriv=0, ftol=1.49012e-08, xtol=1.49012e-08, gtol=0.0, maxfev=0, epsfcn=None, factor=100, diag=None)



func : callable
x0 : ndarray
args : tuple, optional
Dfun : callable, optional
full_output : bool, optional
col_deriv : bool, optional
ftol : float, optional
xtol : float, optional
gtol : float, optional
maxfev : int, optional
epsfcn : float, optional
factor : float, optional
diag : sequence, optional


x : ndarray
cov_x : ndarray
infodict : dict
mesg : str
ier : int

See Also



See :

Back References

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


Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them

GitHub : /scipy/optimize/
type: <class 'function'>