Comparisons of Interpolation Methods for the uncertain case

A recent paper proposed a new interpolation method which can enlarge feasible regions but requires fewer degrees of freedom then many existing approaches. This paper shows that one can use some, by now, common techniques to extend this to the uncertain case. Moroever, the paper gives a proper critique by providing a comparison with many existing interpolation methods. In addition, the example section makes use of some higher order examples whereas earlier papers have tended to focus on 2nd order models only. These examples demonstrate that the proposed approach has a useful place in the portfolio of algorithms available to a designer.