Hybrid Numerical–Machine Learning Framework for Time-Fractal Carreau–Yasuda Flow: Stability, Convergence, and Sensitivity Analysis
This study introduces a modified computational scheme for handling linear and nonlinear fractal time-dependent partial differential equations. The method is constructed using three different stages that provide third-order accuracy in the fractal time variable. The stability of the approach is exami...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2026-03-01
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| Serie: | Fractal and Fractional |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2504-3110/10/4/221 |
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