Результаты исследований: Научные публикации в периодических изданиях › статья по материалам конференции › Рецензирование
Numerical analysis of an inverse coefficient problem for a chemical transformation model. / Penenko, A. V.; Mukatova, Zh S.; Salimova, A. B.
в: IOP Conference Series: Earth and Environmental Science, Том 386, № 1, 012041, 10.12.2019.Результаты исследований: Научные публикации в периодических изданиях › статья по материалам конференции › Рецензирование
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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