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

Otherwise, it performs a combination of ridging and line-search to compute successful steps. If the Hessian is not positive definite, a multiple of the identity matrix is added to the Hessian matrix ...