A High-Performance Embedded Hybrid Methodology for Uncertainty Quantification With Applications
Author(s) -
Akshay Mittal,
Gianluca Iaccarino
Publication year - 2014
Language(s) - English
Resource type - Reports
DOI - 10.2172/1130752
Subject(s) - uncertainty quantification , polynomial chaos , curse of dimensionality , computer science , benchmark (surveying) , modular design , multiphysics , monte carlo method , algorithm , solver , set (abstract data type) , propagation of uncertainty , mathematical optimization , discretization , black box , mathematics , scalability , finite element method , mathematical analysis , statistics , physics , geodesy , database , artificial intelligence , thermodynamics , programming language , geography , operating system , machine learning
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