Nonlinear Level Set Learning for Function Approximation on Sparse Data with Applications to Parametric Differential Equations

Anthony Gruber, Max Gunzburger, Lili Ju +2

A dimension reduction method based on the "Nonlinear Level set Learning" (NLL) approach is presented for the pointwise prediction of functions which have been sparsely sampled. Lev…