I have the following problem, and am having trouble understanding part of the equation:
Monte Carlo methods to estimate an integral is basically, take a lot of random samples and determined a weighted average. For example, the integral of f(x) can be estimated from N independent random samples xr by
alt text http://www.goftam.com/images/area.gif
for a uniform probability distribution of xr in the range [x1, x2]. Since each function evaluation f(xr) is independent, it is easy to distribute this work over a set of processes.
What I don't understand is what f(xr) is supposed to do? Does it feed back into the same equation? Wouldn't that be an infinite loop?
It should say f(xi)
f() is the function we are trying to integrate via the numerical monte carlo method, which estimates an integral (and its error) by evaluating randomly choosen points from the integration region.
Ref.
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