  The problem of optimal recovering high-order mixed derivatives of bivariate
functions with finite smoothness is studied. On the basis of the truncation
method, an algorithm for numerical differentiation is constructed, which is
order-optimal both in the sense of accuracy and in terms of the amount of
involved Galerkin information.
