 This is particularly useful if the function formula_3 is ill-conditioned.Adaptation of the covariance matrix amounts to learning a second order model of the underlying objective function similar to the approximation of the inverse Hessian matrix in the quasi-Newton method in classical optimization.In contrast to most classical methods, fewer assumptions on the nature of the underlying objective function are made.