Reduced differential transform and Sumudu transform methods for solving fractional financial models of awareness
Applied Mathematics, ISSN: 1993-0445, Vol: 38, Issue: 3, Page: 338-356
2023
- 3Citations
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations3
- Citation Indexes3
Article Description
In that paper, we new study has been carried out on previous studies of one of the most important mathematical models that describe the global economic movement, and that is described as a non-linear fractional financial model of awareness, where the studies are represented at the steps following: One: The schematic of the model is suggested. Two: The disease-free equilibrium point (DFE) and the stability of the equilibrium point are discussed. Three: The stability of the model is fulfilled by drawing the Lyapunov exponents and Poincare map. Fourth: The existence of uniformly stable solutions have discussed. Five: The Caputo is described as the fractional derivative. Six: Fractional optimal control for NFFMA is discussed by clarifying the fractional optimal control through drawing before and after control. Seven: Reduced differential transform method (RDTM) and Sumudu Decomposition Method (SDM) are used to take the resolution of an NFFMA. Finally, we display that SDM and RDTM are highly identical.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85170666437&origin=inward; http://dx.doi.org/10.1007/s11766-023-3713-0; https://link.springer.com/10.1007/s11766-023-3713-0; https://dx.doi.org/10.1007/s11766-023-3713-0; https://link.springer.com/article/10.1007/s11766-023-3713-0; http://sciencechina.cn/gw.jsp?action=cited_outline.jsp&type=1&id=7568030&internal_id=7568030&from=elsevier
Springer Science and Business Media LLC
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