Global sensitivity analysis using low-rank tensor approximations

As with the general description of the Product, the Data Model provides options for very detailed Parameter descriptions, with some elements being required if the Parameter is to

In this paper, we show that in the context of kernel ridge regression, for approx- imations based on a random subset of columns of the original kernel matrix, the rank p may be

Although this seems to mean that (convex) nuclear norm regularized approximation (3) is not easier to solve than (non- convex) tensor low-rank approximation, in this contribution

In this note, it has been shown how first order approximation study may lead to the construction of Lyapunov function that characterizes the local exponential stability of a

In dilute solutions, where light scattering experiments are performed, the interaction between clusters is a function of 03B5, the distance to the gelation

In reference [I] the authors, investigating the dependence of on the thikness of crystal, suggested the steep slope of the soft mode o,(k) at small k in the region

The main objective of this work was to compare the accuracy of the correction obtained during a VTO using the Hernigou table (HT) [8], based on a trigonometric calculation taking

On the basis of our S receiver functions, the lithosphere-asthenosphere boundary of the subducting African plate is at 100 km depth beneath the southern part of the Aegean region