#### Previous topic

minimize(method=’SLSQP’)

#### Next topic

minimize(method=’trust-ncg’)

# minimize(method=’dogleg’)

`scipy.optimize.``minimize`(fun, x0, args=(), method='dogleg', jac=None, hess=None, tol=None, callback=None, options={})

  Minimization of scalar function of one or more variables using the dog-leg trust-region algorithm.

  See also

  For documentation for the rest of the parameters, see `scipy.optimize.minimize`

  Options: | initial_trust_radius : float Initial trust-region radius. max_trust_radius : float Maximum value of the trust-region radius. No steps that are longer than this value will be proposed. eta : float Trust region related acceptance stringency for proposed steps. gtol : float Gradient norm must be less than gtol before successful termination.