Efficient Sensitivity Analysis for Virtual Prototyping - White Paper

In this paper classical variance based methods are improved by using approximation techniques. Using global and local polynomial regression methods the efficiency of the sensitivity analysis is significantly improved. With this improvement, which is based on the identification of the important input variables, the approximation quality may be much better, than using the full variable space and an application for high dimensional problems is possible.