文章基本信息

标题：Técnicas Estadísticas Avanzadas en el Análisis de Grandes Modelos Computacionales
本地全文：下载
作者：Jorge E. Núñez Mc Leod ; Jorge H. Barón
期刊名称：Mecánica Computacional
印刷版ISSN：2591-3522
出版年度：2009
期号：14
页码：795-801
语种：Spanish
出版社：CIMEC-INTEC-CONICET-UNL
摘要：In the present work a methodology to perform uncertainty, sensitivity and importance analysis of large numerical models is presented. This methodology combines several advanced statistical tools. The proposed tools applied are independent of the model under analysis and the model itself is treated as a black box. This flexibility allows for the analysis of a variety of numerical models. As an example it can be mentioned the application to finite element models, boundary element models, logical models (boolean equations), etc.
其他摘要：In the present work a methodology to perform uncertainty, sensitivity and importance analysis of large numerical models is presented. This methodology combines several advanced statistical tools. The proposed tools applied are independent of the model under analysis and the model itself is treated as a black box. This flexibility allows for the analysis of a variety of numerical models. As an example it can be mentioned the application to finite element models, boundary element models, logical models (boolean equations), etc.