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- import sys, math, random, ROOT
- input_x_a = 0.01
- input_x_b = 1
- input_y_a = 0
- input_y_b = 1
- def f(x,y):
- # return math.exp(x + y)/(1 + math.sqrt(x)*y/2)
- return 1 / ( math.pow(x,2) * ( y + math.sin(x)/2 ) )
- def f(x, y):
- return g1(x, y) + g2(x, y)
- def g1(x, y):
- return 6.5 * y
- def g2(x, y):
- return -6.5 * y + math.exp(x + y)/(1 + math.sqrt(x)*y/2)
- g1_int = 6.5 * (input_x_b - input_x_a) * (input_y_b / 2 - input_y_a / 2)
- def single(f, x_limits, y_limits):
- x_a, x_b = x_limits
- y_a, y_b = y_limits
- x = ROOT.gRandom.Uniform(x_a, x_b)
- y = ROOT.gRandom.Uniform(y_a, y_b)
- return (x_b - x_a) * (y_b - y_a) * f(x, y)
- results = []
- for i in range(10):
- cresults = []
- for i in range(1000):
- r = (single(g2, (0., 0.5), (1., 3.)))
- results.append(r)
- cresults.append(r)
- average = sum(results) / len(results)
- variance = (sum(r**2 for r in results) - average**2) / len(results)
- caverage = sum(cresults) / len(cresults)
- cvariance = (sum(r**2 for r in cresults) - caverage**2) / len(cresults)
- print g1_int + caverage, math.sqrt(cvariance / len(cresults)),
- print g1_int + average, math.sqrt(variance / len(results))
- def f_for_drawing(x, p):
- return g2(x[0], x[1])
- tf2 = ROOT.TF2("f", f_for_drawing, 0., 0.5, 1., 3., 1)
- tf2.Draw("surf1z")
- sys.stdin.readline()
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