diff --git a/exp/RungeKutta.py b/exp/RungeKutta.py
new file mode 100644
index 0000000..91d1ca6
--- /dev/null
+++ b/exp/RungeKutta.py
@@ -0,0 +1,110 @@
+# -*- coding: utf-8 -*-
+"""
+Created on Sat Jul 05 09:54:39 2014
+
+@author: rlabbe
+"""
+
+from __future__ import division
+import matplotlib.pyplot as plt
+from scipy.integrate import ode
+
+
+class BallEuler(object):
+    def __init__(self, y=100., vel=10.):
+        self.x = 0.
+        self.y = y
+        self.vel = vel
+        self.y_vel = 0.0
+
+
+
+    def step (self, dt):
+
+        g = -9.8
+
+
+        self.x += self.vel*dt
+        self.y += self.y_vel*dt
+
+        self.y_vel += g*dt
+
+        #print self.x, self.y
+
+
+
+def rk4(y, x, dx, f):
+    """computes 4th order Runge-Kutta for dy/dx.
+    y is the initial value for y
+    x is the initial value for x
+    dx is the difference in x (e.g. the time step)
+    f is a callable function (y, x) that you supply to compute dy/dx for
+      the specified values.
+      
+    
+    """
+    
+    k1 = dx * f(y, x)
+    k2 = dx * f(y + 0.5*k1, x + 0.5*dx)
+    k3 = dx * f(y + 0.5*k2, x + 0.5*dx)
+    k4 = dx * f(y + k3, x + dx)
+    
+    return y + (k1 + 2*k2 + 2*k3 + k4) / 6
+
+def fy(y, t):
+    """ returns velocity of ball at time t. 
+    return -9.8*t
+
+
+def fx(y, t):
+    """ returns velocity of ball. Need to set vx.vel prior to first call
+    return fx.vel
+        
+class BallRungeKutta(object):
+    def __init__(self, y=100., vel=10.):
+        self.x = 0.
+        self.y = y
+        self.vel = vel
+        self.y_vel = 0.0
+        self.t = 0
+        
+        fx.vel = vel
+
+
+    def step2 (self, dt):
+        self.x = rk4 (self.x, self.t, dt, fx)
+        self.y = rk4 (self.y, self.t, dt, fy)
+        self.t += dt
+
+        print self.x, self.y
+
+
+if __name__ == "__main__":
+
+    dt = 1./30
+    y0 = 15.
+    vel = 100.
+    be = BallEuler (y=y0, vel=vel)
+    brk = BallRungeKutta (y=y0, vel=vel)
+
+
+    solver = ode(f).set_integrator('dopri5')
+    solver.set_initial_value(y0, 0)
+    t = 0
+    y = y0
+
+    
+    while be.y >= 0:
+        be.step (dt)
+        #plt.scatter (be.x, be.y, color='red')
+
+
+    while brk.y >= 0:
+        brk.step2 (dt)
+
+        y = solver.integrate(t+dt)
+        t += dt
+        #print brk.x, y[0]
+
+        plt.scatter (brk.x, brk.y, color='blue', marker='v')
+        plt.scatter (brk.x, y[0], color='green', marker='+')