An alternative formulation of the differential quadrature method with a neural network perspective-Reference-Cited by-同舟云学术

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

Published:2023-02-21 Issue:6 Volume:100 Page:1248-1263
ISSN:0020-7160
Container-title:International Journal of Computer Mathematics
language:en
Short-container-title:International Journal of Computer Mathematics

Author:

Tomasiello Stefania¹,Macías-Díaz Jorge E.²³,Alba-Pérez Joel³

Affiliation:

1. Institute of Computer Science, University of Tartu, Tartu, Estonia

2. Department of Mathematics and Didactics of Mathematics, Tallinn University, Tallinn, Estonia

3. Departamento de Matemáticas y Física, Universidad Autónoma de Aguascalientes, Aguascalientes, Mexico

Funder

European Social Fund via the IT Academy Programme

National Council of Science and Technology of Mexico

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207160.2023.2177133

Reference43 articles.

1. Broyden's quasi-Newton methods for a nonlinear system of equations and unconstrained optimization: a review and open problems

2. Constructing Runge–Kutta methods with the use of artificial neural networks

3. Reprint of: Approximate Taylor methods for ODEs

4. On approximate implicit Taylor methods for ordinary differential equations

5. Differential quadrature and long-term integration

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