Sparse-grid Sampling Recovery and Numerical Integration of Functions Having Mixed Smoothness
Dinh Dũng
We give a short survey of recent results on sparse-grid linear algorithms of approximate recovery and integration of functions possessing a unweighted or weighted Sobolev mixed smoothness based on their sampled values at a certain finite set. Some of them are extended to more general cases.