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International Journal of Applied Mathematics and Computer Science
Volume 27 (2017): Issue 2 (June 2017)
Open Access
A Dynamic BI–Orthogonal Field Equation Approach to Efficient Bayesian Inversion
Piyush M. Tagade
Piyush M. Tagade
Samsung Advanced Institute of Technology Samsung R&D Institute India,
Bangalore, India
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Tagade, Piyush M.
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Han-Lim Choi
Han-Lim Choi
Department of Aerospace Engineering KAIST, 291 Daehak-ro, Yuseong,
Deajeon, Korea (Republic of)
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Choi, Han-Lim
Jul 08, 2017
International Journal of Applied Mathematics and Computer Science
Volume 27 (2017): Issue 2 (June 2017)
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Published Online:
Jul 08, 2017
Page range:
229 - 243
Received:
Sep 14, 2016
Accepted:
Mar 08, 2017
DOI:
https://doi.org/10.1515/amcs-2017-0016
Keywords
Bayesian framework
,
stochastic partial differential equation
,
Karhunen-Loève expansion
,
generalized polynomial chaos
,
dynamically biorthogonal field equations
© by Han-Lim Choi
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
