Abstract We present a novel approach for approximating the primal and dual parameter-dependent solution functions of parametric optimization problems. start with an equation reformulation first-order necessary optimality conditions. Then, we replace solutions some find test parameters optimal coefficients as single nonlinear least-squares problem. Under mild assumptions it can be shown that sta...