Empty bins and inverse interpolation

  Having developed optimization methodology in Chapters and , we now use it in more applications. First we cover basic concepts of missing data illustrating them with tiny one-dimensional toys. Then we jump to some two-dimensional real-data sets where ``missing data'' really means ``empty bins.'' Finally we return to 1-D synthetic data sampled irregularly.