Least squares on random points with 2x oversampling matches or beats Smolyak sparse grids on benchmark functions up to dimension 100.
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Sparse grids vs. random points for high-dimensional polynomial approximation
Least squares on random points with 2x oversampling matches or beats Smolyak sparse grids on benchmark functions up to dimension 100.