Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Nourhane Attia"'
Publikováno v:
Results in Physics, Vol 52, Iss , Pp 106887- (2023)
Bovine Brucellosis, a zoonotic disease, can infect cattle in tropical and subtropical areas. It remains a critical issue for both human and animal health in many parts of the world, especially those where livestock is an important source of food and
Externí odkaz:
https://doaj.org/article/e8b8a12f35124760b7e8b75159d6d339
Publikováno v:
Alexandria Engineering Journal, Vol 61, Iss 12, Pp 9733-9748 (2022)
We consider the reproducing kernel Hilbert space method to construct numerical solutions for some basic fractional ordinary differential equations (FODEs) under fractal fractional derivative with the generalized Mittag–Leffler (M-L) kernel. Derivin
Externí odkaz:
https://doaj.org/article/5a309b601b2e4cdf98fdfb2a4eccd12d
Publikováno v:
Journal of Function Spaces, Vol 2023 (2023)
Ordinary differential equations describe several phenomena in different fields of engineering and physics. Our aim is to use the reproducing kernel Hilbert space method (RKHSM) to find a solution to some ordinary differential equations (ODEs) that ar
Externí odkaz:
https://doaj.org/article/501c584beae641f691e787d74202fcfb
Publikováno v:
Journal of Applied and Computational Mechanics, Vol 7, Iss 3, Pp 1480-1487 (2021)
In this paper, an accurate technique is used to find an approximate solution to the fractional-order Duffing-Van der Pol (DVP, for short) oscillators equation which is reproducing kernel Hilbert space (RKHS, for short ) method. The numerical results
Externí odkaz:
https://doaj.org/article/2013f8e0259e470f99009523c868ff05
Publikováno v:
Results in Physics, Vol 35, Iss , Pp 105225- (2022)
Based on reproducing kernel theory, an analytical approach is considered to construct numerical solutions for some basic fractional ordinary differential equations (FODEs, for short) under fractal fractional derivative with the exponential decay kern
Externí odkaz:
https://doaj.org/article/088c043149d04882a62623ad2a3d645e
Publikováno v:
Symmetry, Vol 15, Iss 2, p 532 (2023)
Fractional differential equations are becoming more and more indispensable for modeling real-life problems. Modeling and then analyzing these fractional differential equations assists researchers in comprehending and predicting the system they want t
Externí odkaz:
https://doaj.org/article/8f47f16eae954ee484c18bdb64f19546
Publikováno v:
Symmetry, Vol 15, Iss 1, p 144 (2023)
Recently, a new fractional derivative operator has been introduced so that it presents the combination of the Riemann–Liouville integral and Caputo derivative. This paper aims to enhance the reproducing kernel Hilbert space method (RKHSM, for short
Externí odkaz:
https://doaj.org/article/81d9829166674e279778ff14bbe20f63
Autor:
Mohammad Partohaghighi, Ali Akgül, Esra Karatas Akgül, Nourhane Attia, Manuel De la Sen, Mustafa Bayram
Publikováno v:
Symmetry, Vol 15, Iss 1, p 65 (2022)
Numerical methods play an important role in modern mathematical research, especially studying the symmetry analysis and obtaining the numerical solutions of fractional differential equation. In the current work, we use two numerical schemes to deal w
Externí odkaz:
https://doaj.org/article/721883dff7b247e2a1d198d55e09cf73
This study treats the mechanical behavior of composites, made of an epoxy resin matrix reinforced at 30% and 40% with a satin cloth type of long Alfa fibers, Sisal and hybrid Alfa/Sisal. The fibers are obtained by extraction with elimination of binde
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c9a49bc7884854047ce195075e0021b
https://doi.org/10.21203/rs.3.rs-2283466/v1
https://doi.org/10.21203/rs.3.rs-2283466/v1
Autor:
Nourhane Attia, Ali Akgül
The ordinary differential equations describe several phenomena in different fields of engineering and physics. The aim that we want to achieve here is to combine the reproducing kernel Hilbert space method (RKHSM) with the Laplace transform operator
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e352d8a878e40d8990e8bf40e3f44002
https://doi.org/10.21203/rs.3.rs-1827562/v1
https://doi.org/10.21203/rs.3.rs-1827562/v1