A nonparametric probabilistic approach for quantifying uncertainties in low-dimensional and high-dimensional nonlinear models-Reference-Cited by-同舟云学术

A nonparametric probabilistic approach for quantifying uncertainties in low-dimensional and high-dimensional nonlinear models

Published:2016-06-30 Issue:6 Volume:109 Page:837-888
ISSN:0029-5981
Container-title:International Journal for Numerical Methods in Engineering
language:en
Short-container-title:Int. J. Numer. Meth. Engng

Author:

Soize C.¹,Farhat C.²

Affiliation:

1. Laboratoire Modélisation et Simulation Multi Echelle MSME; UMR 8208 CNRS, Université Paris-Est; 5 bd Descartes Marne-la-Vallee 77454 France

2. Department of Aeronautics and Astronautics, Department of Mechanical Engineering and Institute for Computational and Mathematical Engineering; Stanford University; Stanford 94305 CA USA

Funder

Army Research Laboratory through the Army High Performance Computing Research Center

The Boeing Company under Contract Sponsor

Enabling Quantification of Uncertainty in Physical Systems (EQUiPS)

Publisher

Wiley

Subject

Applied Mathematics,General Engineering,Numerical Analysis

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