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Titlebook: Applied Nonlinear Analysis and Soft Computing; Proceedings of ANASC Hemen Dutta,Nazibuddin Ahmed,Ravi P. Agarwal Conference proceedings 202

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樓主: Stimulant
61#
發(fā)表于 2025-4-1 02:56:29 | 只看該作者
Integrierte Logistik und Unternehmensführungheorem in order to give an alternative method to compute the inverse of an analytical mapping in the setting of random differential equations. A detailed description of the implementation is given. Finally, a numerical experiment is shown in order to highlight the helpfulness of combining RVT and Lagrange-Bürmann theorem in practice.
62#
發(fā)表于 2025-4-1 08:19:52 | 只看該作者
https://doi.org/10.1007/978-3-663-01480-5diation, thermal diffusion, chemical reaction on the flow, and transport characteristics are merely focused in the study. It is seen that the induced magnetic field gets enhanced for high magnetic diffusivity. Further, the fluid temperature rises significantly as time progresses.
63#
發(fā)表于 2025-4-1 12:27:25 | 只看該作者
https://doi.org/10.1007/978-3-662-53863-0ngularity and transits from deceleration phase to acceleration phase. Some physical parameters diverge at initial epoch and become constants as the time evolves while the Hubble parameter embraces the recent observational range.
64#
發(fā)表于 2025-4-1 17:02:24 | 只看該作者
,Operations on?Uncertain Numbers and?Its Application in?Multi-criteria Group Decision Making Problemtic of triangular PFSs produces trapezoidal type PFS. Later, ranking approach has also been devised to deal with PFSs in multi-criteria group decision making and a hypothetical case study has been carried out under this approach.
65#
發(fā)表于 2025-4-1 20:37:41 | 只看該作者
66#
發(fā)表于 2025-4-2 02:24:55 | 只看該作者
67#
發(fā)表于 2025-4-2 05:34:57 | 只看該作者
Modelling Spotify Users by a Hybrid Generalized Logistic Model with Uncertainty: A Random Computati in real-world data since it comes from surveys about the number of Spotify. To conduct our stochastic analysis, we efficiently combine the principle of maximum entropy and the random variable transformation method to capture the uncertainty of the data.
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