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Title: 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}
}

Conference:
Other availability
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