the function value (optimization criterion) the gradient vector (first-order partial derivatives) for some techniques, the (approximate) Hessian matrix (second-order partial derivatives) values of ...

The estimated covariance matrix of the parameter estimates is computed as the inverse Hessian matrix, and for unconstrained problems it should be positive definite. If the final parameter estimates ...