Zobrazeno 1 - 10
of 781
pro vyhledávání: '"Local variable"'
Akademický článek
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Autor:
Gijbels, I., Mammen, E.
Publikováno v:
Scandinavian Journal of Statistics, 1998 Sep 01. 25(3), 503-520.
Externí odkaz:
https://www.jstor.org/stable/4616517
Autor:
Slobodan Dmitrović
Publikováno v:
Modern C++ for Absolute Beginners ISBN: 9781484292730
Modern C++ for Absolute Beginners ISBN: 9781484260463
Modern C++ for Absolute Beginners ISBN: 9781484260463
The static specifier says the object will have a static storage duration. The memory space for static objects is allocated when the program starts and deallocated when the program ends. Only one instance of a static object exists in the program. If a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12f4a3df71a14359f524dd85194e2066
https://doi.org/10.1007/978-1-4842-9274-7_27
https://doi.org/10.1007/978-1-4842-9274-7_27
Publikováno v:
Computers & Mathematics with Applications. 102:160-174
In this study, we develop high-order time-accurate, efficient, and energy stable schemes for solving the conservative Swift–Hohenberg equation that can be used to describe the L 2 -gradient flow based phase-field crystal dynamics. By adopting a mod
Autor:
Luke A. Langkamp, S. Joshua Swamidass, Matthew K. Matlock, Na Le Dang, Neeraj Kumar, Geoffrey R. Hutchison, Kathryn Sarullo, Max Hoffman, Dakota Folmsbee
Publikováno v:
The Journal of Physical Chemistry A. 125:8978-8986
Computing quantum chemical properties of small molecules and polymers can provide insights valuable into physicists, chemists, and biologists when designing new materials, catalysts, biological probes, and drugs. Deep learning can compute quantum che
Akademický článek
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Autor:
Nathalia Celis, Caroline Mogollón-Sotelo, Camilo Ferro, Martha Merchán, Alejandro Casallas, Fredy Alejandro Guevara-Luna, Marco Andrés Guevara-Luna
Publikováno v:
Modeling Earth Systems and Environment. 8:2951-2964
In places with complex topography, the reproduction of atmospheric dynamics is challenging and resource demanding. Recently, machine learning has been successfully implemented to forecast pollution and weather variables. LSTM (long short-term memory)
Publikováno v:
Energies, Vol 7, Iss 12, Pp 7857-7877 (2014)
The performance of modern heavy-duty gas turbines is greatly determined by the accurate numerical predictions of thermal loading on the hot-end components. The purpose of this paper is: (1) to present an approach applying a novel numerical technique
Externí odkaz:
https://doaj.org/article/065114ace66842a9b4b3f5973f8891d4
Autor:
Marlene Ribeiro de Oliveira, Walfrido Moraes Tomas, Andrew Townsend Peterson, Neiva Maria Robaldo Guedes, C. R. Padovani, Letícia Couto Garcia, A. Santos Júnior, A. R. Camilo, Judit K. Szabo
Publikováno v:
Biodiversity and Conservation. 30:1971-1990
Species distribution models have been used to assist decision-making in many different aspects of conservation, restoration, and environmental management. However, to apply species distribution models effectively, we need to discriminate between suit
In this paper, we give the definition of local variable Morrey–Lorentz spaces (Formula presented.) which are a new class of functions. Also, we prove the boundedness of the Hardy–Littlewood maximal operator M and Calderón–Zygmund operators T o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10ce69e7e152cb8a0f22cb98259ac774
http://arxiv.org/abs/2111.03726
http://arxiv.org/abs/2111.03726