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ode45 for Higher Order Differential Equations

3 vues (au cours des 30 derniers jours)
d
d le 18 Juin 2022
Commenté : Sam Chak le 18 Juin 2022
I'm learning Matlab and as an exercise I have following:
+ 6 = 1 -
on the time interval [0 20]and with integration step < 0.01. Initial conditions are x(0) = 0.44; = 0.13; = 0.42; = -1.29
To solve it I wrote the code:
f = @(t, y) [y(4); y(3); y(2); 1 - y(1)^2 - 6*y(3)];
t = [0 100];
f0 = [-0.44; 0.13; 0.42; -1.29];
[x, y] = ode45(f, t, f0);
plot(x,y, '-');
grid on
However I'm not really sure that it's correct even it launches and gives some output. Could someone please have a look and correct it if it's wrong. Also where is integration step here?
  1 commentaire
Star Strider
Star Strider le 18 Juin 2022
Modifié(e) : Star Strider le 18 Juin 2022
The integration is performed within the ode45 function. To understand how it works to do the integration, see Algorithms and the Wikipedia article on Runge-Kutta methods.

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Sam Chak
Sam Chak le 18 Juin 2022
Modifié(e) : Sam Chak le 18 Juin 2022
Hi @d
A little fix on the system of 1st-order ODEs.
f = @(t, x) [x(2); x(3); x(4); 1 - x(1)^2 - 6*x(3)];
tspan = 0:0.01:20;
x0 = [0.44; 0.13; 0.42; -1.29];
[t, x] = ode45(f, tspan, x0);
plot(t, x, 'linewidth', 1.5)
grid on, xlabel('t'), ylabel('\bf{x}'), legend('x_{1}', 'x_{2}', 'x_{3}', 'x_{4}', 'location', 'best')
  2 commentaires
d
d le 18 Juin 2022
Thank you!
Sam Chak
Sam Chak le 18 Juin 2022
You are welcome, @d. The link suggested by @Star Strider has many good examples and 'tricks' to learn.

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