Data-driven model reduction using sparse Bayesian learning: Application to nonlinear aeroelastic system.
Abstract
Abstract not provided.
- Authors:
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1525934
- Report Number(s):
- SAND2018-6059C
664078
- DOE Contract Number:
- AC04-94AL85000
- Resource Type:
- Conference
- Resource Relation:
- Conference: Proposed for presentation at the Research Challenges and Opportunities at the interface of Machine Learning and Uncertainty Quantification held June 4-6, 2018 in Los Angeles, California.
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Sandhu, Rimple, Khalil, Mohammad, Pettit, Chris, Poirel, Dominique, and Sarkar, Abhijit. Data-driven model reduction using sparse Bayesian learning: Application to nonlinear aeroelastic system.. United States: N. p., 2018.
Web.
Sandhu, Rimple, Khalil, Mohammad, Pettit, Chris, Poirel, Dominique, & Sarkar, Abhijit. Data-driven model reduction using sparse Bayesian learning: Application to nonlinear aeroelastic system.. United States.
Sandhu, Rimple, Khalil, Mohammad, Pettit, Chris, Poirel, Dominique, and Sarkar, Abhijit. 2018.
"Data-driven model reduction using sparse Bayesian learning: Application to nonlinear aeroelastic system.". United States. https://www.osti.gov/servlets/purl/1525934.
@article{osti_1525934,
title = {Data-driven model reduction using sparse Bayesian learning: Application to nonlinear aeroelastic system.},
author = {Sandhu, Rimple and Khalil, Mohammad and Pettit, Chris and Poirel, Dominique and Sarkar, Abhijit},
abstractNote = {Abstract not provided.},
doi = {},
url = {https://www.osti.gov/biblio/1525934},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Jun 01 00:00:00 EDT 2018},
month = {Fri Jun 01 00:00:00 EDT 2018}
}
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