Recently, (β,γ)-Chebyshev functions, as well as the corresponding
zeros,...
We discuss a bottom-up algorithm for Tchakaloff like compression of
Quas...
We discuss an algorithm for Tchakaloff-like compression of Quasi-MonteCa...
The polynomial kernels are widely used in machine learning and they are ...
In this paper an interative approach for constructing the Hermite interp...
In this paper, we collect the basic theory and the most important
applic...
The mapped bases or Fake Nodes Approach (FNA), introduced in [10], allow...
When an approximant is accurate on the interval, it is only natural to t...
In this paper, we introduce the class of (β,γ)-Chebyshev functions
and c...