An inverse source identification by nonlinear optimization in a two-dimensional hyperbolic problem
Özet
This study deals with the identification of source function from final time state observation in a two-dimensional hyperbolic problem. The solution to the direct problem is obtained by the weak solution approach and finite element method. In the part of the inverse problem, the trust-region method and Levenberg-Marquardt method, which are nonlinear least-squares optimization methods, are used for the identification of source function. The findings are presented with numerical examples.
Anahtar kelimeler
Atıf için künye
Subaşı, M., Şendur, F. D., & Yasar, C. (2021). An inverse source identification by nonlinear optimization in a two-dimensional hyperbolic problem. INVERSE PROBLEMS IN SCIENCE AND ENGINEERING, 29(12), 2110–2130. https://doi.org/10.1080/17415977.2021.1904235
BibTeX
@article{subasi2021-74350,
author = {Subaşı, Murat and Şendur, Faika Derya and Yasar, Cavide},
title = {An inverse source identification by nonlinear optimization in a two-dimensional hyperbolic problem},
journal = {INVERSE PROBLEMS IN SCIENCE AND ENGINEERING},
year = {2021},
volume = {29},
number = {12},
pages = {2110--2130},
issn = {1741-5977},
doi = {10.1080/17415977.2021.1904235},
url = {https://akademik.atauni.edu.tr/yayinlar/74350-an-inverse-source-identification-by-nonlinear-optimization-in-a-two-dimensional}
}