Badenko V. , Sosnovsky I. , Kozlov A. , Penzik M. , Zhang S. Kinetic and quantitative analysis of gaseous products of thermochemical biomass conversion based on thermogravimetric and mass-spectrometric data // Biofuels, Bioproducts and Biorefining. 2024. DOI: 10.1002/bbb.2616
Ayzenberg N.I., Barakhtenko E.A., Maiorov G.S. Cooperative Behavior of Prosumers in Integrated Energy Systems // Mathematics. No.12. ID:4005. 2024. DOI: doi.org/10.3390/math12244005
Kolosok I. , Korkina E. Improving the Structure of the Electricity Demand Response Aggregator Based on Holonic Approach // Mathematics. Vol.12. No.23. ID:3802. 2024. DOI: 10.3390/math12233802
DAO M.H., LIU F., Sidorov D.N. Kolmogorov–Arnold Neural Networks Technique for the state of charge estimation for li-ion batteries // Bulletin of the South Ural State University, Series: Mathematical Modelling, Programming and Computer Software. Vol.17. No.4. 2024. P.22-31. DOI: 10.14529/mmp240402
Khan P.V. , Levin A.A. Experimental study of the influence of bubble interaction on their characteristics during transient boiling in a flow of subcooled liquid // Thermophysics and Aeromechanics. Vol.31. No.2. 2024. P.313-319. DOI: 10.1134/S0869864324020100
Khamisov O.O. , Khamisov O.V. , Ganchev T.D. , Semenkin E.S. A Method for Transforming Non-Convex Optimization Problem to Distributed Form // Mathematics. Vol.12. No.17. ID:2796. 2024. DOI: 10.3390/math12172796
Alekseyuk V. , Levin A. , Khan P. GENERALIZATION OF VAPOR BUBBLE SIZE DURING UNSTEADY BOILING WITH THE USE OF TWO STAGE OPTIMIZATION METHOD; [ОБОБЩЕНИЕ РАЗМЕРА ПАРОВЫХ ПУЗЫРЬКОВ ПРИ НЕСТАЦИОНАРНОМ КИПЕНИИ С ПРИМЕНЕНИЕМ ДВУХЭТАПНОЙ МЕТОДИКИ ОПТИМИЗАЦИИ] // Bulletin of the South Ural State University, Series: Mathematical Modelling, Programming and Computer Software. Vol.17. №3. 2024. P.5-17. DOI: 10.14529/mmp240301
Khamisov O. , Semenkin E. , Nelyub V. Allocation of Starting Points in Global Optimization Problems // Mathematics. Vol.12. №4. ID:606. 2024. DOI: 10.3390/math12040606
Khamisov O.V. Optimization of the Optimal Value Function in Problems of Convex Parametric Programming // Proceedings of the Steklov institute of mathematics. Vol.323. 2024. P.133-145. DOI: 10.1134/S0081543823060111
Sidorov D. , Tynda A. , Muratov V. , Yanitsky E. Volterra Black-Box Models Identification Methods: Direct Collocation vs. Least Squares // Mathematics. Vol.12. №2. ID:227. 2024. DOI: 10.3390/math12020227
Kinetic and quantitative analysis of gaseous products of thermochemical biomass conversion based on thermogravimetric and mass-spectrometric data
Библиографическая ссылка
Cooperative Behavior of Prosumers in Integrated Energy Systems
Библиографическая ссылка
Improving the Structure of the Electricity Demand Response Aggregator Based on Holonic Approach
Библиографическая ссылка
Kolmogorov–Arnold Neural Networks Technique for the state of charge estimation for li-ion batteries
Библиографическая ссылка
Experimental study of the influence of bubble interaction on their characteristics during transient boiling in a flow of subcooled liquid
Библиографическая ссылка
A Method for Transforming Non-Convex Optimization Problem to Distributed Form
Библиографическая ссылка
GENERALIZATION OF VAPOR BUBBLE SIZE DURING UNSTEADY BOILING WITH THE USE OF TWO STAGE OPTIMIZATION METHOD; [ОБОБЩЕНИЕ РАЗМЕРА ПАРОВЫХ ПУЗЫРЬКОВ ПРИ НЕСТАЦИОНАРНОМ КИПЕНИИ С ПРИМЕНЕНИЕМ ДВУХЭТАПНОЙ МЕТОДИКИ ОПТИМИЗАЦИИ]
Библиографическая ссылка
Allocation of Starting Points in Global Optimization Problems
Библиографическая ссылка
Optimization of the Optimal Value Function in Problems of Convex Parametric Programming
Библиографическая ссылка
Volterra Black-Box Models Identification Methods: Direct Collocation vs. Least Squares
Библиографическая ссылка
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