A study of Covid 19 disease mathematical model via wavelets
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@Article{JICS-15-104,
author = {Kumbinarasaiah, S and Devaraju K S},
title = {A study of Covid 19 disease mathematical model via wavelets},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {15},
number = {2},
pages = {104--112},
abstract = { In this study, we propose an effective numerical algorithm to study the Covid-19 epidemic
model that is in the form of a system of the coupled ordinary differential equation. This algorithm includes
the collocation method and truncated Laguerre wavelet. Here, we reduce the system of a differential equation
into a set of algebraic equations which are having unknown Laguerre wavelet coefficients. Moreover, the
modeling of the spreading of a Covid-19 disease in a population is numerically solved by the present method.
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22385.html}
}
TY - JOUR
T1 - A study of Covid 19 disease mathematical model via wavelets
AU - Kumbinarasaiah, S and Devaraju K S
JO - Journal of Information and Computing Science
VL - 2
SP - 104
EP - 112
PY - 2024
DA - 2024/01
SN - 15
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22385.html
KW - Wavelets, collocation method, mathematical model.
AB - In this study, we propose an effective numerical algorithm to study the Covid-19 epidemic
model that is in the form of a system of the coupled ordinary differential equation. This algorithm includes
the collocation method and truncated Laguerre wavelet. Here, we reduce the system of a differential equation
into a set of algebraic equations which are having unknown Laguerre wavelet coefficients. Moreover, the
modeling of the spreading of a Covid-19 disease in a population is numerically solved by the present method.
Kumbinarasaiah, S and Devaraju K S. (2024). A study of Covid 19 disease mathematical model via wavelets.
Journal of Information and Computing Science. 15 (2).
104-112.
doi:
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