scipy.optimize.RootResults#

class scipy.optimize.RootResults(root, iterations, function_calls, flag)[source]#

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()