Consistent Discrete-Analytical Schemes for the Solution of the Inverse Source Problems for Atmospheric Chemistry Models with Image-Type Measurement Data

Alexey Penenko; Vladimir Penenko; Elena Tsvetova; Zhadyra Mukatova

doi:10.1007/978-3-030-11539-5_43

Consistent Discrete-Analytical Schemes for the Solution of the Inverse Source Problems for Atmospheric Chemistry Models with Image-Type Measurement Data

Alexey Penenko, Vladimir Penenko, Elena Tsvetova, Zhadyra Mukatova

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › рецензирование

2 Цитирования (Scopus)

Аннотация

The inverse source problems for nonlinear chemical transport models with image-type measurement data are considered. The use of the sensitivity operators, constructed of the ensemble of adjoint problem solutions, allows transforming the inverse problems stated as the systems of nonlinear ODE or PDE to a family of operator equations depending on the given set of functions in the space of measurement results. In the paper, the set of consistent discrete analytical schemes for 1D diffusion-reaction model is presented. The operator equations are solved with the relevant methods for nonlinear operator equations.

Язык оригинала	английский
Название основной публикации	Finite Difference Methods. Theory and Applications - 7th International Conference, FDM 2018, Revised Selected Papers
Редакторы	István Faragó, Ivan Dimov, Lubin Vulkov
Издатель	Springer-Verlag GmbH and Co. KG
Страницы	378-386
Число страниц	9
ISBN (печатное издание)	9783030115388
DOI	https://doi.org/10.1007/978-3-030-11539-5_43
Состояние	Опубликовано - 1 янв. 2019
Событие	7th International Conference on Finite Difference Methods, FDM 2018 - Lozenetz, Болгария Продолжительность: 11 июн. 2018 → 16 июн. 2018

Серия публикаций

Название	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Том	11386 LNCS
ISSN (печатное издание)	0302-9743
ISSN (электронное издание)	1611-3349

Конференция

Конференция	7th International Conference on Finite Difference Methods, FDM 2018
Страна/Tерритория	Болгария
Город	Lozenetz
Период	11.06.2018 → 16.06.2018

Доступ к документу

10.1007/978-3-030-11539-5_43

Другие файлы и ссылки

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Цитировать

Penenko, A., Penenko, V., Tsvetova, E., & Mukatova, Z. (2019). Consistent Discrete-Analytical Schemes for the Solution of the Inverse Source Problems for Atmospheric Chemistry Models with Image-Type Measurement Data. В I. Faragó, I. Dimov, & L. Vulkov (Ред.), Finite Difference Methods. Theory and Applications - 7th International Conference, FDM 2018, Revised Selected Papers (стр. 378-386). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 11386 LNCS). Springer-Verlag GmbH and Co. KG. https://doi.org/10.1007/978-3-030-11539-5_43

Penenko, Alexey ; Penenko, Vladimir ; Tsvetova, Elena и др. / Consistent Discrete-Analytical Schemes for the Solution of the Inverse Source Problems for Atmospheric Chemistry Models with Image-Type Measurement Data. Finite Difference Methods. Theory and Applications - 7th International Conference, FDM 2018, Revised Selected Papers. редактор / István Faragó ; Ivan Dimov ; Lubin Vulkov. Springer-Verlag GmbH and Co. KG, 2019. стр. 378-386 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Consistent Discrete-Analytical Schemes for the Solution of the Inverse Source Problems for Atmospheric Chemistry Models with Image-Type Measurement Data",

abstract = "The inverse source problems for nonlinear chemical transport models with image-type measurement data are considered. The use of the sensitivity operators, constructed of the ensemble of adjoint problem solutions, allows transforming the inverse problems stated as the systems of nonlinear ODE or PDE to a family of operator equations depending on the given set of functions in the space of measurement results. In the paper, the set of consistent discrete analytical schemes for 1D diffusion-reaction model is presented. The operator equations are solved with the relevant methods for nonlinear operator equations.",

author = "Alexey Penenko and Vladimir Penenko and Elena Tsvetova and Zhadyra Mukatova",

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Penenko, A, Penenko, V, Tsvetova, E & Mukatova, Z 2019, Consistent Discrete-Analytical Schemes for the Solution of the Inverse Source Problems for Atmospheric Chemistry Models with Image-Type Measurement Data. в I Faragó, I Dimov & L Vulkov (ред.), Finite Difference Methods. Theory and Applications - 7th International Conference, FDM 2018, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), том. 11386 LNCS, Springer-Verlag GmbH and Co. KG, стр. 378-386, 7th International Conference on Finite Difference Methods, FDM 2018, Lozenetz, Болгария, 11.06.2018. https://doi.org/10.1007/978-3-030-11539-5_43

Consistent Discrete-Analytical Schemes for the Solution of the Inverse Source Problems for Atmospheric Chemistry Models with Image-Type Measurement Data. / Penenko, Alexey; Penenko, Vladimir; Tsvetova, Elena и др.

Finite Difference Methods. Theory and Applications - 7th International Conference, FDM 2018, Revised Selected Papers. ред. / István Faragó; Ivan Dimov; Lubin Vulkov. Springer-Verlag GmbH and Co. KG, 2019. стр. 378-386 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 11386 LNCS).

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › рецензирование

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Penenko A, Penenko V, Tsvetova E, Mukatova Z. Consistent Discrete-Analytical Schemes for the Solution of the Inverse Source Problems for Atmospheric Chemistry Models with Image-Type Measurement Data. В Faragó I, Dimov I, Vulkov L, редакторы, Finite Difference Methods. Theory and Applications - 7th International Conference, FDM 2018, Revised Selected Papers. Springer-Verlag GmbH and Co. KG. 2019. стр. 378-386. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-11539-5_43