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Direct data assimilation algorithms for advection-diffusion models with the increased smoothness of the uncertainty functions

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Department of Mechanics and Mathematics

DOI

https://doi.org/10.1109/SIBIRCON.2017.8109853
Final published version

Alexey Penenko
Vladimir Penenko
Zhadyra Mukatova

Original language	English
Title of host publication	Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	126-130
Number of pages	5
ISBN (Electronic)	9781538615966
ISBN (Print)	9781538615966
DOIs	https://doi.org/10.1109/SIBIRCON.2017.8109853
Publication status	Published - 14 Nov 2017
Event	2017 International Multi-Conference on Engineering, Computer and Information Sciences - Novosibirsk, Russian Federation Duration: 18 Sept 2017 → 22 Sept 2017

Publication series

Name	Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017

Conference

Conference	2017 International Multi-Conference on Engineering, Computer and Information Sciences
Abbreviated title	SIBIRCON 2017
Country/Territory	Russian Federation
City	Novosibirsk
Period	18.09.2017 → 22.09.2017

Research areas

Advection-diffusion model, Data assimilation, Finite-difference scheme, Variational approach

ID: 9133607