has been cited by the following article(s):
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Collinear Gradients Method for Minimizing Smooth Functions: Optimality Conditions and Algorithms
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Operations Research Forum,
2023 |
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УСЛОВИЯ ОПТИМАЛЬНОСТИ ФОРМЫ СОПЛА ГИДРОПУШКИ
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Донецкие чтения 2022: образование …,
2022 |
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Exploring structural properties of small carbon clusters Cn (n= 1, 2, 3) using molecular mechanics and energy minimization
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AIP Conference Proceedings,
2016 |
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[4]
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Exploring structural properties of small carbon clusters C n (n= 1, 2, 3) using molecular mechanics and energy minimization
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AIP Conference Proceedings,
2016 |
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[5]
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Exploring structural properties of small carbon clusters Cn (n = 1, 2, 3) using molecular mechanics and energy minimization
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AIP Conference Proceedings,
2016 |
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[6]
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ИДЕНТИФИКАЦИЯ МОДЕЛИ ТЕПЛООБМЕННОГО АППАРАТА РЕКТИФИКАЦИОННОЙ КОЛОННЫ ВОЗДУХОРАЗДЕЛИТЕЛЬНОЙ УСТАНОВКИ
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2016 |
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Label‐Free Fluctuation Spectroscopy Based on Coherent Anti‐Stokes Raman Scattering from Bulk Water Molecules
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…,
2016 |
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OPTIMIZATION FOR SYSTEMS GOVERNED BY PARTIAL DIFFERENTIAL EQUATIONS
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Advanced Modeling and Optimization,
2012 |
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Практическая оптимизация, идентификация распределённых систем
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ВЕСТНИК ДОНЕЦКОГО НАЦИОНАЛЬНОГО УНИВЕРСИТЕТА. СЕРИЯ Г: ТЕХНИЧЕСКИЕ НАУКИ
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[1]
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Collinear Gradients Method for Minimizing Smooth Functions
Operations Research Forum,
2023
DOI:10.1007/s43069-023-00193-9
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[2]
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Collinear Gradients Method for Minimizing Smooth Functions
Operations Research Forum,
2023
DOI:10.1007/s43069-023-00193-9
|
|
|
[3]
|
Exploring structural properties of small carbon clusters Cn (n = 1, 2, 3) using molecular mechanics and energy minimization
2016
DOI:10.1063/1.4966792
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