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extend estimation of area under curve of y=x using monte carlo simulation to any given lower and upper bound (#1784)

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* extend estimation of area under curve of y=x using monte carlo simulation to any given lower and upper bound

* remove doctest
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singlav 2020-02-23 04:03:12 +05:30 committed by GitHub
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commit b36e46b9b2
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1 changed files with 14 additions and 9 deletions
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maths/monte_carlo.py
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@ -42,29 +42,34 @@ def area_under_line_estimator(iterations: int,
An implementation of the Monte Carlo method to find area under
y = x where x lies between min_value to max_value
1. Let x be a uniformly distributed random variable between min_value to max_value
2. Expected value of x = integration of x from min_value to max_value
2. Expected value of x = (integration of x from min_value to max_value) / (max_value - min_value)
3. Finding expected value of x:
a. Repeatedly draw x from uniform distribution
b. Expected value = average of those values
4. Actual value = 1/2
4. Actual value = (max_value^2 - min_value^2) / 2
5. Returns estimated value
"""
return mean(uniform(min_value, max_value) for _ in range(iterations))
return mean(uniform(min_value, max_value) for _ in range(iterations)) * (max_value - min_value)
def area_under_line_estimator_check(iterations: int) -> None:
def area_under_line_estimator_check(iterations: int,
min_value: float=0.0,
max_value: float=1.0) -> None:
"""
Checks estimation error for area_under_line_estimator func
1. Calls "area_under_line_estimator" function
2. Compares with the expected value
3. Prints estimated, expected and error value
"""
estimate = area_under_line_estimator(iterations)
estimated_value = area_under_line_estimator(iterations, min_value, max_value)
expected_value = (max_value*max_value - min_value*min_value) / 2
print("******************")
print("Estimating area under y=x where x varies from 0 to 1")
print("Expected value is ", 0.5)
print("Estimated value is ", estimate)
print("Total error is ", abs(estimate - 0.5))
print("Estimating area under y=x where x varies from ",min_value, " to ",max_value)
print("Estimated value is ", estimated_value)
print("Expected value is ", expected_value)
print("Total error is ", abs(estimated_value - expected_value))
print("******************")