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Título
Variable step length algorithms with high-order extrapolated non-standard finite difference schemes for a SEIR model.
Autor(es)
Palabras clave
Extrapolation techniques
Malware propagation
Nonstandard finite difference schemes
SEIR model
Variable step-length algorithms
Fecha de publicación
2018
Editor
Elsevier [Commercial Publisher]
Citación
J. Martín-Vaquero, A. Queiruga-Dios, A. Martín del Rey, A.H. Encinas, J.D. Hernández Guillén, G. Rodríguez Sánchez,
Variable step length algorithms with high-order extrapolated non-standard finite difference schemes for a SEIR model,
Journal of Computational and Applied Mathematics,
Volume 330,
2018,
Pages 848-854,
ISSN 0377-0427,
https://doi.org/10.1016/j.cam.2017.03.031.
(https://www.sciencedirect.com/science/article/pii/S0377042717301541)
Resumen
[EN]n the present manuscript, higher-order methods are derived to solve a SEIR model for malware propagation. They are obtained using extrapolation techniques combined with nonstandard finite difference (NSFD) schemes used in Jansen and Twizell (2002). Thus, the new algorithms are more efficient computationally, and are dynamically consistent with the continuous model. Later, different procedures are considered to control the error in the discrete schemes. Numerical experiments are provided to illustrate the theory, and for the comparison of the different strategies in the adaptation of the variable step length.
URI
ISSN
0377-0427
DOI
10.1016/j.cam.2017.03.031
Versión del editor
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