Numerical Comparison of the Adjoint Problem-based and Derivative-free Algorithms on the Coefficient Identification Problem for a Production-Loss Model › Research Explorer

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Numerical Comparison of the Adjoint Problem-based and Derivative-free Algorithms on the Coefficient Identification Problem for a Production-Loss Model

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

Department of Mechanics and Mathematics

DOI

https://doi.org/10.1109/OPCS53376.2021.9588680
Final published version

Alexey Penenko
Viktoria Konopleva
Aleksandr Bobrovskikh

Original language	English
Title of host publication	Proceedings - 2021 17th International Asian School-Seminar "Optimization Problems of Complex Systems", OPCS 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	78-83
Number of pages	6
ISBN (Electronic)	978-1-6654-0562-1
ISBN (Print)	9781665405621
DOIs	https://doi.org/10.1109/OPCS53376.2021.9588680
Publication status	Published - 2021
Event	17th International Asian School-Seminar "Optimization Problems of Complex Systems", OPCS 2021 - Moscow, Russian Federation Duration: 13 Sept 2021 → 17 Sept 2021

Publication series

Name	Proceedings - 2021 17th International Asian School-Seminar "Optimization Problems of Complex Systems", OPCS 2021

Conference

Conference	17th International Asian School-Seminar "Optimization Problems of Complex Systems", OPCS 2021
Country/Territory	Russian Federation
City	Moscow
Period	13.09.2021 → 17.09.2021

Research areas

adjoint equations, coefficient identification, derivative-free algorithms, gradient-based methods, production-loss models, sensitivity operator

OECD FOS+WOS

1.01 MATHEMATICS

ID: 35770351