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Computational Foundation for Optimal Transport Ensemble Kalman Filter.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Computational Foundation for Optimal Transport Ensemble Kalman Filter./
作者:
Horata, Hasan Emin.
面頁冊數:
1 online resource (60 pages)
附註:
Source: Masters Abstracts International, Volume: 84-10.
Contained By:
Masters Abstracts International84-10.
標題:
Aeronomy. -
電子資源:
click for full text (PQDT)
ISBN:
9798379409166
Computational Foundation for Optimal Transport Ensemble Kalman Filter.
Horata, Hasan Emin.
Computational Foundation for Optimal Transport Ensemble Kalman Filter.
- 1 online resource (60 pages)
Source: Masters Abstracts International, Volume: 84-10.
Thesis (M.Sc.)--University of Washington, 2023.
Includes bibliographical references
This thesis is concerned with novel filtering algorithms that are constructed based on the recently introduced optimal transportation formulation of the Bayes' formula. The problem involves solving a stochastic optimization problem to find the optimal map that transports the prior distribution to the posterior distribution at each time-step. An insightful case is obtained when the functions are restricted to be quadratic, leading to a variation of ensemble Kalman filter(EnKF), called optimal transport EnKF(OT-EnKF). The thesis includes development of computational algorithms for OT-EnKF and performing numerical experiments for evaluation and comparison with the original EnKF algorithm.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024
Mode of access: World Wide Web
ISBN: 9798379409166Subjects--Topical Terms:
1241245
Aeronomy.
Subjects--Index Terms:
Optimal transportIndex Terms--Genre/Form:
554714
Electronic books.
Computational Foundation for Optimal Transport Ensemble Kalman Filter.
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Computational Foundation for Optimal Transport Ensemble Kalman Filter.
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Source: Masters Abstracts International, Volume: 84-10.
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Advisor: Taghvaei, Amirhossein.
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Thesis (M.Sc.)--University of Washington, 2023.
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Includes bibliographical references
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This thesis is concerned with novel filtering algorithms that are constructed based on the recently introduced optimal transportation formulation of the Bayes' formula. The problem involves solving a stochastic optimization problem to find the optimal map that transports the prior distribution to the posterior distribution at each time-step. An insightful case is obtained when the functions are restricted to be quadratic, leading to a variation of ensemble Kalman filter(EnKF), called optimal transport EnKF(OT-EnKF). The thesis includes development of computational algorithms for OT-EnKF and performing numerical experiments for evaluation and comparison with the original EnKF algorithm.
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Electronic reproduction.
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Ann Arbor, Mich. :
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ProQuest,
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2024
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Mode of access: World Wide Web
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click for full text (PQDT)
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