Monte Carlo Method, Python, Numerical Integration, Data Science.
x_i points are concentrated in areas of interest, where f(x_i) != 0. Importance Sampling with python figure 7: Importance Sampling (left) vs Crude Integration (right) Methods comparison Here is the summary of integral values and relative errors. We reduce x4 the error with the Importance Sampling