Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Alexey Penenko"'
Publikováno v:
Mathematics, Vol 12, Iss 1, p 78 (2023)
Hybrid approaches combining machine learning with traditional inverse problem solution methods represent a promising direction for the further development of inverse modeling algorithms. The paper proposes an approach to emission source identificatio
Externí odkaz:
https://doaj.org/article/22339b3cace94324b42510b3335901fe
Autor:
Alexey Penenko, Evgeny Rusin
Publikováno v:
Mathematics, Vol 10, Iss 23, p 4522 (2022)
Large-scale inverse problems that require high-performance computing arise in various fields, including regional air quality studies. The paper focuses on parallel solutions of an emission source identification problem for a 2D advection–diffusion
Externí odkaz:
https://doaj.org/article/13f4bdbbc2e34bd5bbcd8be599d7efca
Autor:
Alexey Penenko, Vladimir Penenko, Elena Tsvetova, Alexander Gochakov, Elza Pyanova, Viktoriia Konopleva
Publikováno v:
Atmosphere, Vol 12, Iss 12, p 1697 (2021)
Air quality monitoring systems differ in composition and accuracy of observations and their temporal and spatial coverage. A monitoring system’s performance can be assessed by evaluating the accuracy of the emission sources identified by its data.
Externí odkaz:
https://doaj.org/article/0a3ea88b1e824eada0f61c770d0302b6
Autor:
Ulyana Zubairova, Sergey Nikolaev, Alexey Penenko, Nikolay Podkolodnyy, Sergey Golushko, Dmitry Afonnikov, Nikolay Kolchanov
Publikováno v:
Frontiers in Plant Science, Vol 7 (2016)
Understanding the principles and mechanisms of cell growth coordination in plant tissue remains an outstanding challenge for modern developmental biology. Cell-based modeling is a widely used technique for studying the geometric and topological featu
Externí odkaz:
https://doaj.org/article/98302ecc8387459e8dc1c1e4c5b02b0f
Publikováno v:
International Journal of Nonlinear Sciences and Numerical Simulation. 22:581-592
A numerical algorithm for the solution of an inverse coefficient problem for nonstationary, nonlinear production-destruction type model is proposed and tested on an example of the Lorenz’63 system. With an ensemble of adjoint problem solutions, the
Autor:
A. B. Salimova, Alexey Penenko
Publikováno v:
Numerical Analysis and Applications. 13:152-164
A source identification algorithm for systems of nonlinear ordinary differential equations of production-destruction type is applied to an inverse problem for a discretized Smoluchowski equation. An unknown source function is estimated by time series
Autor:
Alexey Penenko, Vladimir Penenko, Elena Tsvetova, Alexander Gochakov, Elza Pyanova, Viktoriia Konopleva
Publikováno v:
Large-Scale Scientific Computing ISBN: 9783030975487
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f0167e23bd2fea4fd1cb0789af57004
https://doi.org/10.1007/978-3-030-97549-4_19
https://doi.org/10.1007/978-3-030-97549-4_19
Publikováno v:
2021 17th International Asian School-Seminar "Optimization Problems of Complex Systems (OPCS).
Coefficient identification problems for non-stationary production-loss models are considered. Such models are widely used in chemical, environmental, economic, and biological process studies. The objective of the work is to numerically compare standa
Publikováno v:
Journal of Applied Mechanics and Technical Physics. 60:392-399
Variational approach and sensitivity theory methods are used to construct algorithms for solving the problems of environmental forecast and design. When studying the behavior of the model in the parameter space, sensitivity functions are calculated a
Autor:
Alexey Penenko
Publikováno v:
Interexpo GEO-Siberia. 4:121-125
On the basis of the approach with the use of ensembles of solutions of adjoint equations, it is possible to solve a wide range of inverse modeling problems in a uniform way with the processing of monitoring data of various types, including is situ me