<![CDATA[In this paper, we discuss the state-of-the-art models in estimating, evaluating, and selecting among nonlinear mathematical models for obtaining the optimal solution of the optimization problems which involve the nonlinear functions in their constraints. We review theoretical and empirical issues including Newtonâs method, linear programming, quadratic ogramming, quadratically constrained programming, parabola, ellipse and the relation between parabola and ellipse. Finally, we outline our method called paraboloid-ellipsoid programming which is useful for solving economic forecasting and financial time-series with non-linear models. ]]>
Copyrights © 2012
