Fitting multidimensional data using gradient penalties and the sparse grid combination technique
Sparse grids, combined with gradient penalties provide an attractive tool for regularised least squares fitting. It has earlier been found that the combination technique, which builds a sparse grid function using a linear combination of approximations on
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