A Schmidt net is a type of low-discrepancy sequence used in quasi-Monte Carlo methods for numerical integration and simulation. It is particularly useful for high-dimensional integration problems where traditional Monte Carlo methods may require a prohibitive number of random samples to achieve a given level of accuracy. The Schmidt net is constructed to fill a multidimensional space more uniformly than typical random sampling, thereby reducing the error in numerical approximations.
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