Runge Kutta Method- With this method one can solve approximate value of 'y' of diffrential equation where one bounty conditions is also given.
Formula-
K1= h*f(xn, yn )
K2= h*f( xn + (h/2) , yn + (K1/2))
K3= h*f( xn + (h/2), yn + (K2/2) )
K4= h*f( xn + h, yn + K3)
K= (1/6)*(K1 + 2*K2 + 2*K3 + K4)
Yn+1 = yn + K
Here the value of 'n' are 1,2,3,4,5,.....,n
Also here 'h' is a step height and xn+1 = x0+h
Question- y' = 3*y, y(0)=1 , h=0.1
So initially when x0=0 y0 = 1
x1=x0+h=0+0.1=0.1 y1 = ?
x2=x1+h=0.1+0.1=0.2 y2 = ?
program-
#include<iostream>
using namespace std;
float equation(float,float);
int main()
{
float x0= 0 , y =1 ,h = 0.1; // here the y value
is y0
int n=1;// no of iteration
float k1,k2,k3,k4,k5;
for(int i=1; i<=n ; i++)
{
k1=h*
equation(x0,y);
k2=h* equation(x0 +
0.5*h, y + 0.5*k1);
k3=h* equation(x0 +
0.5*h, y + 0.5*k2);
k4=h* equation(x0 + h, y
+ k3);
k5= ((1.0/6.0)*(k1 + 2*k2 + 2*k3 + k4));
y=y + k5;
x0=x0+h;
}
cout<<"The value of y is"<<y;
}
float equation(float x , float y)
{
return 3*y;
}
When we run the loop 2 times the output is -
When we run the loop 3 times the output is -
So, depending upon the no of iteration the approximate value of y changes.
Hey Can someone write me a c++ pogramm using 4th order runge kutta method? h=0.1 y'...
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