Application of reproducing kernel algorithm for solving second-order, two-point fuzzy boundary value problems
By Omar Abu Arqub, M. Al‐Smadi, Shaher Momani, Tasawar Hayat. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2017
314 citations recorded by the source corpus.
Subfields: Applied Mathematics, Modeling and Simulation, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/4bf2fe78cddc8bf398ce609bc408931f6afe3a60
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In Applied Mathematics
- Nabil T. Shawagfeh
- Omar Abu Arqub
- Zaid M. Odibat
- Shaher Momani
- Hossein Jafari
- Varsha Daftardar-Gejji
- Abdon Atangana
- Dumitru Băleanu
In Modeling and Simulation
- Nabil T. Shawagfeh
- Omar Abu Arqub
- Shaher Momani
- Zaid M. Odibat
- Banan Maayah
- Hossein Jafari
- Varsha Daftardar-Gejji
- Abdon Atangana
In Statistics and Probability
Citations in the corpus
- A novel spherical fuzzy analytic hierarchy process and its renewable energy application (2019, unknown): “Spherical fuzzy sets still need to be developed by using several algebraic operations including differential equations (Arqub et al. 2016; Arqub 2016; Arqub et al. 2017; Arqub 2017).”
- Solving optimal control problems of Fredholm constraint optimality via the reproducing kernel Hilbert space method with error estimates and convergence analysis (2019, methodology): “Iterative and numeric schemes of the RKHSM have been modified and provided to handle the solutions behaviors by utilizing linear differential operator in Hilbert spaces.(26-48) In the sense of modern theoretical utilization, the pattern of this article is as follows:”