Jacobian and Hessian of $f(x) = \langle x, Ax \rangle$

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A is a $\Re^{n \times n}$ Matrix. f is a function from $\Re^n$ to $\Re$ with $f(x) = \langle x, Ax \rangle$. How can I determine the gradient and hessian of this Matrix at point x?