Sparse Grid

A sparse grid is a numerical construction for approximating functions that depend on many variables, in which the set of evaluation points is chosen so that far fewer points are needed than in a full tensor‑product grid. The idea rests on using hierarchical basis functions and on recognizing that smoothness often varies across directions, allowing the method to concentrate resolution where it matters most while skipping redundant combinations of high‑order refinements.