scipy.optimize.RootResults

class scipy.optimize.RootResults(root, iterations, function_calls, flag)

Represents the root finding result.

Attributes:

rootfloat

Estimated root location.

iterationsint

Number of iterations needed to find the root.

function_callsint

Number of times the function was called.

convergedbool

True if the routine converged.

flagstr

Description of the cause of termination.

Methods

__getitem__	x.__getitem__(y) <==> x[y]
__len__(/)	Return len(self).
clear()
copy()
fromkeys(iterable[, value])	Create a new dictionary with keys from iterable and values set to value.
get(key[, default])	Return the value for key if key is in the dictionary, else default.
items()
keys()
pop(key[, default])	If key is not found, default is returned if given, otherwise KeyError is raised
popitem(/)	Remove and return a (key, value) pair as a 2-tuple.
setdefault(key[, default])	Insert key with a value of default if key is not in the dictionary.
update([E, ]**F)	If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]
values()