Uncertainty segregation and tensor-product-type approximation in reduced-dimensional stochastic analysis of coupled systems.
Journal Article
·
· International Journal for Numerical Methods in Engineering
OSTI ID:1143849
Abstract not provided.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1143849
- Report Number(s):
- SAND2011-9158J; 456705
- Journal Information:
- International Journal for Numerical Methods in Engineering, Journal Name: International Journal for Numerical Methods in Engineering
- Country of Publication:
- United States
- Language:
- English
Similar Records
Reduced chaos expansions with random coefficients in reduced-dimensional stochastic modeling of coupled problems.
Uncertainty Quantification and Stochastic Dimension Reduction for Complex Coupled Systems.
Approximating Data with Stochastic and Physical Dependence using the Functional Tensor Train Models.
Journal Article
·
2012
· Proposed for publication in International Journal for Numerical Methods in Engineering.
·
OSTI ID:1067741
Uncertainty Quantification and Stochastic Dimension Reduction for Complex Coupled Systems.
Conference
·
2011
·
OSTI ID:1109175
Approximating Data with Stochastic and Physical Dependence using the Functional Tensor Train Models.
Conference
·
2019
·
OSTI ID:1641238