Which of the following is/are TRUE? Group of answer choices The Hessian is the matrix of second-order partial derivatives of a function Direct optimization methods are useful when the objective function is not differentiable The first and second derivative of the objective function are used to determine if we have reached an optimal point The gradient of f(x, y) is a vector pointing in the direction of the steepest slope at that point