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Title: Data-driven model reduction using sparse Bayesian learning: Application to nonlinear aeroelastic system.

Conference ·
OSTI ID:1525934

Abstract not provided.

Research Organization:
Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
DOE Contract Number:
AC04-94AL85000
OSTI ID:
1525934
Report Number(s):
SAND2018-6059C; 664078
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