Hassan Kamil Jassim

Dr. Hassan Kamil Jassim

Thi Qar University, Nasiriyah, Iraq
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Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2016 in Advances in Mechanical Engineering
Verified
Journal Article
Open access
Hossein JafariHossein Jafari
Hossein Jafari
HJHassan Kamil Jassim
Hassan Kamil Jassim
SMSeithuti P Moshokoa
Seithuti P Moshokoa
VAVernon M Ariyan
Vernon M Ariyan
FTFairouz Tchier
Fairouz Tchier
The non-differentiable solution of the linear and non-linear partial differential equations on Cantor sets is implemented in this article. The reduced differential transform method is considered in the local fractional operator sense. The four illustrative examples are given to show the efficiency and accuracy features of the presented technique to solve local fractional partial differential equations.
30 June 2014 in Advances in Mathematical Physics
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Journal Article
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SYSheng-Ping Yan
Sheng-Ping Yan
Hossein JafariHossein Jafari
Hossein Jafari
HJHassan Kamil Jassim
Hassan Kamil Jassim
We perform a comparison between the local fractional Adomian decomposition and local fractional function decomposition methods applied to the Laplace equation. The operators are taken in the local sense. The results illustrate the significant features of the two methods which are both very effective and straightforward for solving the differential equations with local fractional derivative.
1 January 2018 in Thermal Science
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DBDumitru Baleanu
Dumitru Baleanu
HJHassan Kamil Jassim
Hassan Kamil Jassim
HKHasib Khan
Hasib Khan
In this paper, we apply a new technique, namely local fractional variational iteration transform method on homogeneous/non-homogeneous non-linear gas dynamic and coupled KdV equations to obtain the analytical approximate solutions. The iteration procedure is based on local fractional derivative and integral operators. This method is the combination of the local fractional Laplace transform and variational iteration method. The method in general is easy to implement and yields good results. Illustrative examples are included to demonstrate the validity and applicability of the new technique.
23 March 2023 in Mathematics
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HJHassan Kamil Jassim
Hassan Kamil Jassim
MHMohammed Abdulshareef Hussein
Mohammed Abdulshareef Hussein
Recently, researchers have been interested in studying fractional differential equations and their solutions due to the wide range of their applications in many scientific fields. In this paper, a new approach called the Hussein–Jassim (HJ) method is presented for solving nonlinear fractional ordinary differential equations. The new method is based on a power series of fractional order. The proposed approach is employed to obtain an approximate solution for the fractional differential equations. The results of this study show that the solutions obtained from solving the fractional differential equations are highly consistent with those obtained by exact solutions.
3 June 2019 in Fractal and Fractional
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Dumitru BaleanuDumitru Baleanu
Dumitru Baleanu
HJHassan Kamil Jassim
Hassan Kamil Jassim
In this paper, we apply a new technique, namely, the local fractional Laplace homotopy perturbation method (LFLHPM), on Helmholtz and coupled Helmholtz equations to obtain analytical approximate solutions. The iteration procedure is based on local fractional derivative operators (LFDOs). This method is a combination of the local fractional Laplace transform (LFLT) and the homotopy perturbation method (HPM). The method in general is easy to implement and yields good results. Illustrative examples are included to demonstrate the validity and applicability of the new technique.
2 October 2020 in Journal of Mathematics and Computer Science
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Journal Article
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HJHassan Kamil Jassim
Hassan Kamil Jassim
MHMohammed Abed Shareef Hussain
Mohammed Abed Shareef Hussain
In this paper, we apply the Daftardar-Jafari method (DJM) and Sumudu decomposition method (SDM) to obtain the approximate analytical solutions of the fractional system of differential equations with Caputo-Fabrizio fractional derivative operator. The results obtained by DJM are compared with the results obtained by SDM. The results reveal that the suggested algorithms are very effective and simple and can be applied for linear and nonlinear problems in sciences and engineering.