1、A cusp is also called a stationary point or point of retrogression gression.
2、A stationary point which is neither a local maximum nor a local minimum point is called a saddle point.
3、As its practice, the stationary point likelihood estimator of the present model is derived.
4、Moreover, we get the relationship between the K-T point of the primal problem and the stationary point of the unconstrained problem.
5、Given a response surface equation in quadratic form, the Six Sigma Black Belt will be able to compute the stationary point.
6、As the non-degeneracy condition holds and the smoothing parameter tends to zero, an S-stationary point of the MPCC problem is equivalent to a KKT point of the smoothing nonlinear programming.
