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Numerical analysis of an inverse coefficient problem for a chemical transformation model. / Penenko, A. V.; Mukatova, Zh S.; Salimova, A. B.

In: IOP Conference Series: Earth and Environmental Science, Vol. 386, No. 1, 012041, 10.12.2019.

Research output: Contribution to journal › Conference article › peer-review

Harvard

Penenko, AV, Mukatova, ZS & Salimova, AB 2019, 'Numerical analysis of an inverse coefficient problem for a chemical transformation model', IOP Conference Series: Earth and Environmental Science, vol. 386, no. 1, 012041. https://doi.org/10.1088/1755-1315/386/1/012041

APA

Penenko, A. V., Mukatova, Z. S., & Salimova, A. B. (2019). Numerical analysis of an inverse coefficient problem for a chemical transformation model. IOP Conference Series: Earth and Environmental Science, 386(1), [012041]. https://doi.org/10.1088/1755-1315/386/1/012041

Vancouver

Penenko AV, Mukatova ZS, Salimova AB. Numerical analysis of an inverse coefficient problem for a chemical transformation model. IOP Conference Series: Earth and Environmental Science. 2019 Dec 10;386(1):012041. doi: 10.1088/1755-1315/386/1/012041

Author

Penenko, A. V. ; Mukatova, Zh S. ; Salimova, A. B. / Numerical analysis of an inverse coefficient problem for a chemical transformation model. In: IOP Conference Series: Earth and Environmental Science. 2019 ; Vol. 386, No. 1.

BibTeX

@article{fc23e918e06a493f9bf02be83dfc6226,
title = "Numerical analysis of an inverse coefficient problem for a chemical transformation model",
abstract = "Inverse coefficient problems for a non-stationary chemical transformation model are considered. The objective of this work is to test an approach consisting in reducing the inverse problem to a quasi-linear matrix equation based on sensitivity operators constructed from an ensemble of independent solutions of adjoint equations. A Newton-Kantorovich-type algorithm is used to solve the thus obtained matrix equations. This approach is tested on a chemical transformation scheme with 22 species and 20 reactions. The reconstruction results are compared with several sets of unknown reaction rates according to the influence characteristics. The analysis seems to be useful for selecting sets of reaction rates that can be reconstructed by the inverse problem solution.",
author = "Penenko, {A. V.} and Mukatova, {Zh S.} and Salimova, {A. B.}",
year = "2019",
month = dec,
day = "10",
doi = "10.1088/1755-1315/386/1/012041",
language = "English",
volume = "386",
journal = "IOP Conference Series: Earth and Environmental Science",
issn = "1755-1307",
publisher = "IOP Publishing Ltd.",
number = "1",
note = "9th International Conference on Computational Information Technologies for Environmental Sciences, CITES 2019 and International Young Scientists School 2019 ; Conference date: 27-05-2019 Through 06-06-2019",

}

RIS

TY - JOUR

T1 - Numerical analysis of an inverse coefficient problem for a chemical transformation model

AU - Penenko, A. V.

AU - Mukatova, Zh S.

AU - Salimova, A. B.

PY - 2019/12/10

Y1 - 2019/12/10

N2 - Inverse coefficient problems for a non-stationary chemical transformation model are considered. The objective of this work is to test an approach consisting in reducing the inverse problem to a quasi-linear matrix equation based on sensitivity operators constructed from an ensemble of independent solutions of adjoint equations. A Newton-Kantorovich-type algorithm is used to solve the thus obtained matrix equations. This approach is tested on a chemical transformation scheme with 22 species and 20 reactions. The reconstruction results are compared with several sets of unknown reaction rates according to the influence characteristics. The analysis seems to be useful for selecting sets of reaction rates that can be reconstructed by the inverse problem solution.

AB - Inverse coefficient problems for a non-stationary chemical transformation model are considered. The objective of this work is to test an approach consisting in reducing the inverse problem to a quasi-linear matrix equation based on sensitivity operators constructed from an ensemble of independent solutions of adjoint equations. A Newton-Kantorovich-type algorithm is used to solve the thus obtained matrix equations. This approach is tested on a chemical transformation scheme with 22 species and 20 reactions. The reconstruction results are compared with several sets of unknown reaction rates according to the influence characteristics. The analysis seems to be useful for selecting sets of reaction rates that can be reconstructed by the inverse problem solution.

UR - http://www.scopus.com/inward/record.url?scp=85077558401&partnerID=8YFLogxK

U2 - 10.1088/1755-1315/386/1/012041

DO - 10.1088/1755-1315/386/1/012041

M3 - Conference article

AN - SCOPUS:85077558401

VL - 386

JO - IOP Conference Series: Earth and Environmental Science

JF - IOP Conference Series: Earth and Environmental Science

SN - 1755-1307

IS - 1

M1 - 012041

T2 - 9th International Conference on Computational Information Technologies for Environmental Sciences, CITES 2019 and International Young Scientists School 2019

Y2 - 27 May 2019 through 6 June 2019

ER -

ID: 23110706