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2+ '''
3+ Numerical integration or quadrature for a smooth function f with known values at x_i
4+
5+ This method is the classical approch of suming 'Equally Spaced Abscissas'
6+
7+ method 2:
8+ "Simpson Rule"
9+
10+ '''
11+
12+ def method_2 (boundary , steps ):
13+ # "Simpson Rule"
14+ # int(f) = delta_x/2 * (b-a)/3*(f1 + 4f2 + 2f_3 + ... + fn)
15+ h = (boundary [1 ] - boundary [0 ]) / steps
16+ a = boundary [0 ]
17+ b = boundary [1 ]
18+ x_i = makePoints (a ,b ,h )
19+ y = 0.0
20+ y += (h / 3.0 )* f (a )
21+ cnt = 2
22+ for i in x_i :
23+ y += (h / 3 )* (4 - 2 * (cnt % 2 ))* f (i )
24+ cnt += 1
25+ y += (h / 3.0 )* f (b )
26+ return y
27+
28+ def makePoints (a ,b ,h ):
29+ x = a + h
30+ while x < (b - h ):
31+ yield x
32+ x = x + h
33+
34+ def f (x ): #enter your function here
35+ y = (x - 0 )* (x - 0 )
36+ return y
37+
38+ def main ():
39+ a = 0.0 #Lower bound of integration
40+ b = 1.0 #Upper bound of integration
41+ steps = 10.0 #define number of steps or resolution
42+ boundary = [a , b ]#define boundary of integration
43+ y = method_2 (boundary , steps )
44+ print 'y = {0}' .format (y )
45+
46+ if __name__ == '__main__' :
47+ main ()
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