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Application of Reduced Order Surrogate Models for Solving Inverse Problems by the Optimization Method with Apriori Information Accumulation

Volodymyr Halchenko, Ruslana Trembovetska, Volodymyr Tychkov. Application of Reduced Order Surrogate Models for Solving Inverse Problems by the Optimization Method with Apriori Information Accumulation. In Emil Faure, Yurii Tryus, Tero Vartiainen, Olena Danchenko, Maksym Bondarenko, Constantine Bazilo, Grygoriy Zaspa, editors, Information Technology for Education, Science, and Technics - Proceedings of ITEST 2024, Volume 2, Cherkasy, Ukraine, 23-24 May 2024. Volume 222 of Lecture Notes on Data Engineering and Communications Technologies, pages 127-142, Springer, 2024. [doi]

Authors

Volodymyr Halchenko

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Ruslana Trembovetska

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Volodymyr Tychkov

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