Title of article
Numerical Solution of Nonlinear System of Ordinary Differential Equations by the Newton-Taylor Polynomial and Extrapolation with Application from a Corona Virus Model
Author/Authors
Babayar-Razlighi, B Department of Statistics - Islamic Azad University Marvdasht Branch, Marvdasht, Iran
Pages
15
From page
1
To page
15
Abstract
In this paper, we consider a nonlinear non autonomous system of differential equations.
We linearize this system by the Newton's method and obtain a sequence of linear systems of ODE.
We are going to solve this system on
1
[0, ] [( 1) , ] N
k
Nl k l kl
=
= −
for some positive integer
N
and
a positive real
l 0 . For this purpose, in the first step we solve the problem on
[0, ]l .By
knowing the solution on
[0, ]l
, we solve the problem on
[ , 2 ] l l
and obtain the solution on
[0, 2 ]l
. We continue this procedure until
[0, ] Nl
. In each partial interval
[( 1) , ] k l kl − , first of
all, we solve the problem by the extrapolation method and obtain an initial guess for the Newton-
Taylor polynomial solutions. These procedures cause that the errors don’t propagate. The sequence
of linear systems in Newton's method are solved by a famous method called Taylor polynomial
solutions, which have a good accuracy for linear systems of ODE. Finally, we give a mathematical
model of the novel corona virus disease and illustrate accuracy and applicability of the method by
some examples from this model and compare them by similar work, that simulate the numerical
solutions.
Keywords
Expectation‐Maximization algorithm , Geometric minimum , Maximum likelihood estimation , Bivariate model
Journal title
International Journal of Mathematical Modelling and Computations
Serial Year
2021
Record number
2721737
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