12. Improved Euler method (2nd order derivative) example ( Enter your problem )
  1. Formula & Example-1 : `y''=1+2xy-x^2z`
  2. Example-2 : `y''=xz^2-y^2`
  3. Example-3 : `y''=-4z-4y`
Other related methods
  1. Euler method (1st order derivative)
  2. Runge-Kutta 2 method (1st order derivative)
  3. Runge-Kutta 3 method (1st order derivative)
  4. Runge-Kutta 4 method (1st order derivative)
  5. Improved Euler method / Modified Euler method (1st order derivative)
  6. Midpoint Euler method (1st order derivative)
  7. Taylor Series method (1st order derivative)
  8. Euler method (2nd order derivative)
  9. Runge-Kutta 2 method (2nd order derivative)
  10. Runge-Kutta 3 method (2nd order derivative)
  11. Runge-Kutta 4 method (2nd order derivative)
  12. Improved Euler method / Modified Euler method (2nd order derivative)
  13. Midpoint Euler method (2nd order derivative)
  14. Taylor Series method (2nd order derivative)

11. Runge-Kutta 4 method (2nd order derivative)
(Previous method)
2. Example-2 : `y''=xz^2-y^2`
(Next example)

1. Formula & Example-1 : `y''=1+2xy-x^2z`





Formula
put `(dy)/(dx)=z` and differentiate w.r.t. x, we obtain `(d^2y)/(dx^2)=(dz)/(dx)`

We have system of equations
`(dy)/(dx)=z=f(x,y,z)`

`(dz)/(dx)=g(x,y,z)`

Improved Euler method / Modified Euler method for second order differential equation formula
`y_(n+1)=y_n+h/2 [k_(1y) + k_(2y)]`

`k_(1y)=f(x_n,y_n,z_n)`

`k_(2y)=f(x_n+h,y_n+hk_(1y),z_n+hk_(1z))`

`z_(n+1)=z_n+h/2 [k_(1z) + k_(2z)]`

`k_(1z)=g(x_n,y_n,z_n)`

`k_(2z)=g(x_n+h,y_n+hk_(1y),z_n+hk_(1z))`

Examples
1. Find y(0.2) for `y''=1+2xy-x^2z`, `x_0=0, y_0=1, z_0=0`, with step length 0.1 using Improved Euler / Modified Euler method (2nd order derivative)

Solution:
Given `y^('')=1+2xy-x^2z, y(0)=1, y'(0)=0, h=0.1, y(0.2)=?`

put `(dy)/(dx)=z` and differentiate w.r.t. x, we obtain `(d^2y)/(dx^2)=(dz)/(dx)`

We have system of equations
`(dy)/(dx)=z=f(x,y,z)`

`(dz)/(dx)=1+2xy-x^2z=g(x,y,z)`

Here, `x_0=0,y_0=1,z_0=0,h=0.1,x_n=0.2`

Improved Euler method / Modified Euler method for second order differential equation formula
`y_(n+1)=y_n+h/2 [k_(1y) + k_(2y)]`

`k_(1y)=f(x_n,y_n,z_n)`

`k_(2y)=f(x_n+h,y_n+hk_(1y),z_n+hk_(1z))`

`z_(n+1)=z_n+h/2 [k_(1z) + k_(2z)]`

`k_(1z)=g(x_n,y_n,z_n)`

`k_(2z)=g(x_n+h,y_n+hk_(1y),z_n+hk_(1z))`



for `n=0,x_0=0,y_0=1,z_0=0`

`k_(1y)=f(x_0,y_0,z_0)`

`=f(0,1,0)`

`=0`

`k_(1z)=g(x_0,y_0,z_0)`

`=g(0,1,0)`

`=1`

`k_(2y)=f(x_0+h,y_0+hk_(1y),z_0+hk_(1z))`

`=f(0+0.1,1+0.1*0,0+0.1*1)`

`=f(0.1,1,0.1)`

`=0.1`

`k_(2z)=g(x_0+h,y_0+hk_(1y),z_0+hk_(1z))`

`=g(0+0.1,1+0.1*0,0+0.1*1)`

`=g(0.1,1,0.1)`

`=1.199`

`y_1=y_0+h/2 [k_(1y) + k_(2y)]`

`=1+0.1/2 [0 + 0.1]`

`=1.005`

`z_1=z_0+h/2 [k_(1z) + k_(2z)]`

`=0+0.1/2 [1 + 1.199]`

`=0.11`

`x_1=x_0+h=0+0.1=0.1`



for `n=1,x_1=0.1,y_1=1.005,z_1=0.11`

`k_(1y)=f(x_1,y_1,z_1)`

`=f(0.1,1.005,0.11)`

`=0.11`

`k_(1z)=g(x_1,y_1,z_1)`

`=g(0.1,1.005,0.11)`

`=1.1999`

`k_(2y)=f(x_1+h,y_1+hk_(1y),z_1+hk_(1z))`

`=f(0.1+0.1,1.005+0.1*0.11,0.11+0.1*1.1999)`

`=f(0.2,1.016,0.2299)`

`=0.2299`

`k_(2z)=g(x_1+h,y_1+hk_(1y),z_1+hk_(1z))`

`=g(0.1+0.1,1.005+0.1*0.11,0.11+0.1*1.1999)`

`=g(0.2,1.016,0.2299)`

`=1.3972`

`y_2=y_1+h/2 [k_(1y) + k_(2y)]`

`=1.005+0.1/2 [0.11 + 0.2299]`

`=1.022`

`x_2=x_1+h=0.1+0.1=0.2`

`:.y(0.2)=1.022`

`n``x_n``y_n``z_n``x_(n+1)``y_(n+1)``z_(n+1)`
00100.11.0050.11
10.11.0050.110.21.022





This material is intended as a summary. Use your textbook for detail explanation.
Any bug, improvement, feedback then Submit Here



11. Runge-Kutta 4 method (2nd order derivative)
(Previous method)
2. Example-2 : `y''=xz^2-y^2`
(Next example)





Share this solution or page with your friends.
 
 
Copyright © 2026. All rights reserved. Terms, Privacy
 
 

.