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# Runge-Kutta methods

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The Runge-Kutta methods are a family of numerical analysis techniques used for the approximation of solutions of ordinary differential equations. They were developed around 1900 by the mathematicians C. Runge[?] and M.W. Kutta[?]. The fourth-order formulation ("RK4") is the most commonly used, since it provides substantial accuracy without excessive complexity.

If y' = f(t,y) is a differential equation and its value at some initial time is specified by y(t0) = y0, then the RK4 method is given by the following equation:

$y_{k+1} = y_k + {h \over 6} \left[ k_1 + 2k_2 + 2k_3 + k_4 \right]$

where

$k_1 = f \left( t_n, y_n \right)$

$k_2 = f \left( t_n + {h \over 2}, y_n + {h \over 2} k_1 \right)$

$k_3 = f \left( t_n + {h \over 2}, y_n + {h \over 2} k_2 \right)$

$k_4 = f \left( t_n + h, y_n + hk_3 \right)$

Thus, the next value (yn+1) is determined by the present value (yn) plus the product of the size of the interval (h) and an estimated slope. The slope is a weighted average of slopes:

• k1 is the slope at the beginning of the interval;
• k2 is the slope at the midpoint of the interval, using slope k1 to determine the value of y at the point tn + h/2 using Euler's formula;
• k3 is again the slope at the midpoint, but now using the slope k2 to determine the y-value;
• k4 is the slope at the end of the interval, with its y-value determined using k3.

When the four slopes are averaged, more weight is given to the slopes at the midpoint:

$\mbox{slope} = \frac{k_1 + 2k_2 + 2k_3 + k_4}{6}$

Iterative methods in general may be represented by the generic form yn+1 = cyn, where c is a coefficient that depends upon the method used and the equation being evaluated. The primary reason that the RK4 method is successful is that the coefficient c that it produces is almost always a very good approximation to the actual value. Indeed, the RK4 method has a total accumulated error of O(h4).

All Wikipedia text is available under the terms of the GNU Free Documentation License

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