Solving Inhomogeneous Constant Coefficient Ordinary Differential Equations Using Artificial Neural Networks
Ordinary differential equations are fundamental tools for modeling dynamic systems in science, engineering, and applied mathematics. Solving these equations accurately and efficiently is crucial, particularly in cases where analytical solutions are challenging or impossible to obtain. This paper pre...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
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MDPI AG
2026-05-01
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| Serie: | Axioms |
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| Accesso online: | https://www.mdpi.com/2075-1680/15/5/333 |
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