Parallel framework for dynamic domain decomposition of data assimilation problems: a case study on Kalman Filter algorithm-Reference-Cited by-同舟云学术

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Parallel framework for dynamic domain decomposition of data assimilation problems: a case study on Kalman Filter algorithm

Published:2021-02-08 Issue:6 Volume:3 Page:
ISSN:2577-7408
Container-title:Computational and Mathematical Methods
language:en
Short-container-title:Comp and Math Methods

Author:

D'Amore Luisa¹^ORCID,Cacciapuoti Rosalba¹

Affiliation:

1. Department of Mathematics and Applications University of Naples Federico II Naples Italy

Publisher

Wiley

Subject

Computational Mathematics,Computational Theory and Mathematics,Computational Mechanics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cmm4.1145

Reference39 articles.

1. An Introduction to Estimation Theory (gtSpecial IssueltData Assimilation in Meteology and Oceanography: Theory and Practice)

2. Mathematical Concepts of Data Assimilation

3. A Decomposition of the Tikhonov Regularization Functional Oriented to Exploit Hybrid Multilevel Parallelism

4. ArcucciR D'AmoreL CarracciuoloL. On the problem‐decomposition of scalable 4D‐var data assimilation model. Proceedings of the 2015 International Conference on High Performance Computing and Simulation HPCS 2015 2 September 2015 Pages 589‐594 13th International Conference on High Performance Computing and Simulation HPCS; 20 July 2015 through 24 July 20152015; Amsterdam; Netherlands.

5. A Scalable Numerical Algorithm for Solving Tikhonov Regularization Problems

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Space-Time Decomposition of Kalman Filter;Numerical Mathematics: Theory, Methods and Applications;2023-06

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