DogLeg

Similar to Levenberg-Marquardt, the Dog-Leg algorithm attempts to combine the Gauss-Newton method with the gradient descent method. Unlike Levenberg-Marquardt, where this behavior is managed by the Dumped Hessian, in the case of Dog Leg, the choice remains explicit through the analysis of a Trust Region.