Quasi-Monte Calro

Quasi-Monte Calro is a method for the computation fot the integral.
This method is based on low-discrepancy sequences.
On the other hand, Monte Calro method has a long history, and it derives from the Law of Large numbers.
The most advantage of Quasi-Monte Carlo compared with Monte Carlo is the faster convergence. We need 100 times samples to make the convergence accurate 10 times if we use Monte-Calro method, while we need only 10times samples to get the same result with Monte Calro if we use Quasi-Monte Calro.
But, Quasi-Monte Calro method works well only how integral function is smooth, and how its dimension is small. These are problems for Quasi-Monte Calro.
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