Given a polynomial and a semi-algebraic set , we provide a symbolic algorithm to find the equations and inequalities defining a semi-algebraic set which is identical to the closure of the image of under , i.e., \begin{equation} Q=\overline{f(S)},. \end{equation} Consequently, every polynomial optimization problem whose optimum value is finite has an equivalent form with attained optimum value, i.e., \begin{equation} \min \limits_{t\in Q} t =\inf\limits_{x\in S} f(x) \end{equation} whenever the right-hand side is finite. Given as the upper bound on the degrees of and polynomials defining , we prove that our method requires arithmetic operations to produce polynomials of degrees at most defining .

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