Derivative based global sensitivity measures and their link with global sensitivity indices
نویسندگان
چکیده
A model function f(x1,. . .,xn) defined in the unit hypercube Hn with Lebesque measure dx= dx1. . .dxn is considered. If the unction is square integrable, global sensitivity indices provide adequate estimates for the influence of individual factors xi or roups of such factors. Alternative estimators that require less computer time can also be used. If the function f is differentiable, unctionals depending on ∂f/∂xi have been suggested as estimators for the influence of xi. The Morris importance measure modified y Campolongo, Cariboni and Saltelli μ* is an approximation of the functional μi = ∫ Hn |∂f /∂xi| dx. In this paper a similar functional is studied
منابع مشابه
A new derivative based importance criterion for groups of variables and its link with the global sensitivity indices
A new derivative based criterion y τ for groups of input variables is presented. It is shown that there is a link between global sensitivity indices and the new derivative based measure. It is proved that small values of derivative based measures imply small values of total sensitivity indices. However, for highly nonlinear functions the ranking of important variables using derivative based imp...
متن کاملDerivative based global sensitivity measures
The method of derivative based global sensitivity measures (DGSM) has recently become popular among practitioners. It has a strong link with the Morris screening method and Sobol’ sensitivity indices and has several advantages over them. DGSM are very easy to implement and evaluate numerically. The computational time required for numerical evaluation of DGSM is generally much lower than that fo...
متن کاملDerivative-based global sensitivity measures: General links with Sobol' indices and numerical tests
The estimation of variance-based importance measures (called Sobol’ indices) of the input variables of a numerical model can require a large number of model evaluations. It turns to be unacceptable for high-dimensional model involving a large number of input variables (typically more than ten). Recently, Sobol and Kucherenko have proposed the Derivative-based Global Sensitivity Measures (DGSM),...
متن کاملScreening method using the derivative-based global sensitivity indices with application to reservoir simulator
Screening method using the derivative-based global sensitivity indices with application to reservoir simulator — Reservoir simulator can involve a large number of uncertain input parameters. Sensitivity analysis can help reservoir engineers focusing on the inputs whose uncertainties have an impact on the model output, which allows reducing the complexity of the model. There are several ways to ...
متن کاملComputing derivative-based global sensitivity measures using polynomial chaos expansions
In the field of computer experiments sensitivity analysis aims at quantifying the relative importance of each input parameter (or combinations thereof) of a computational model with respect to the model output uncertainty. Variance decomposition methods leading to the well-known Sobol’ indices are recognized as accurate techniques, at a rather high computational cost though. The use of polynomi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Mathematics and Computers in Simulation
دوره 79 شماره
صفحات -
تاریخ انتشار 2009