4th order runge kutta method

In summary: Step 6 OUTPUT (t, w).In summary, the 4th order Runge-Kutta method is a numerical method for approximating the solution of an initial value problem for one or two coupled first order linear ODEs. It involves dividing the interval [a,b] into N equally spaced points and using a set of equations to compute the approximate solution at each point. This method is commonly used in physics and can be easily implemented in programming languages.
  • #1
snelson989
3
0
I just need to know the general form of the 4th order Runge-Kutta method?
For two coupled first order linear ODEs.
I can not find it specifically written online, I need it to write a program for the structure of white dwarfs stars, but I am okay with the Physics, just I have never used the runge-Kutta method.

Thanks.
 
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  • #2
Welcome to PF!

Searching your references for "Runge Kutta 4", or simply "RK4", should provide you with equations that you very easily can turn into a program. If you are not supposed to implement the method yourself, then searching for both RK4 and your favorite language at the same time may even provide you with a code snippet.
 
  • #3
For one ODE:

To approximate the solution of the initial-value problem
y' = f(t, y), a <t <b, y(a) = y0,
at (N + 1) equally spaced numbers in the interval [a,b]:
INPUT endpoints a, b; integer N; initial condition y0.
OUTPUT approximation w to y at the (N + 1) values of t.
Step 1 Set h = (b - a)/N;
t = a;
w = y0;
OUTPUT (t, w).
Step 2 For i = 1, 2,... , N do Steps 3-5.
Step 3 Set K1=hf(t,w);
K2 = hf(t + h/2,w + K1 /2);
K3 = hf(t+h/2,w + K2/2);
K4 = hf(t + h,w + K3).
Step 4 Set w = w + (K1 + 2K2 + 2K3 + K4)/6; (Compute w_i)
t = a + ih. (Compute t_i)
Step 5 OUTPUT (t, w).
 

1. What is the 4th order Runge Kutta method and how does it work?

The 4th order Runge Kutta method is a numerical method used to solve ordinary differential equations (ODEs). It is an extension of the Euler method and uses a weighted average of four intermediate values to approximate the solution at each time step. This results in a more accurate and stable solution compared to the Euler method.

2. When should the 4th order Runge Kutta method be used?

The 4th order Runge Kutta method is typically used for solving ODEs that cannot be solved analytically, or when an analytical solution is too complex to obtain. It is also useful for solving ODEs with a large number of time steps, as it provides a more accurate solution compared to simpler methods.

3. What are the advantages of using the 4th order Runge Kutta method?

The 4th order Runge Kutta method is a popular choice for solving ODEs due to its accuracy and stability. It also allows for variable time steps, making it versatile for a wide range of problems. Additionally, it is relatively easy to implement and can handle stiff equations (equations with rapidly changing solutions).

4. Are there any limitations to the 4th order Runge Kutta method?

While the 4th order Runge Kutta method is a powerful tool for solving ODEs, it can still suffer from numerical errors and instability in certain cases. It is important to choose appropriate step sizes and ensure that the solution does not exceed the bounds of the problem. Additionally, it may not be suitable for solving partial differential equations (PDEs).

5. Are there any variations of the 4th order Runge Kutta method?

Yes, there are several variations of the 4th order Runge Kutta method, such as the 4th order Runge Kutta-Fehlberg method and the 4th order Runge Kutta-Merson method. These variations use a different number of intermediate values and different weighting schemes, resulting in varying levels of accuracy and stability. It is important to choose the appropriate variation based on the problem at hand.

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