Fig. 9

Run-time and performance comparison between sequential sampling (cf. Section 6.2) and linearization (cf. Section 6.1) for L=316 and MNS 1 as bagplots. Bagplots, as proposed in [33], are a generalization of boxplots for two objectives and consist of the following parts. The bag that contains at most 50% of the points in the dataset. The fence that is an inflated bag by a factor of three. All points outside the fence are considered outliers. The depth median (DM), which is a generalization of median, is the point with the largest Tukey depth. Here, only those data points (DPs) within the bag are visualized for clearness