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- W2078860623 abstract "The paper proposes an Artificial Intelligence approach for computing an approximate solution for a hyperbolic partial differential equation (PDE) modeling the vibration of a drilling plant. The basic idea relies on using the repetitive structure induced by the Method of Lines for assigning a Cellular Neural Network (CNN) to perform the numerics. The method ensures from the beginning the convergence of the approximation and preserves the stability of the initial problem." @default.
- W2078860623 created "2016-06-24" @default.
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- W2078860623 date "2013-08-01" @default.
- W2078860623 modified "2023-09-26" @default.
- W2078860623 title "Numerics for hyperbolic partial differential equations (PDE) via Cellular Neural Networks (CNN)" @default.
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- W2078860623 doi "https://doi.org/10.1109/icconscs.2013.6632044" @default.
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