An alternative formulation of the differential quadrature method with a neural network perspective

DOI10.1080/00207160.2023.2177133zbMath1524.65100OpenAlexW4319443695MaRDI QIDQ6106741

Stefania Tomasiello, Jorge Eduardo Macías-Díaz, Joel Alba-Pérez

Publication date: 3 July 2023

Published in: International Journal of Computer Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207160.2023.2177133

zbMATH Keywords

recursive schemesystems of ordinary differential equationsdifferential quadrature rulesTaylor series-based methods

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Numerical differentiation (65D25) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65M99) Numerical methods for ordinary differential equations (65L99)

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