1 citations · 2 across the 4 of their papers we have counts for
4 papers
Polynomial approximation of derivatives by the constrained mock-Chebyshev least squares operator
Francesco Dell'Accio, Federico Nudo
The constrained mock-Chebyshev least squares operator is a linear approximation operator based on an equispaced grid of points. Like other polynomial or rational approximation meth…
Numerical differentiation on scattered data through multivariate polynomial interpolation
Francesco Dell'Accio, F. Di Tommaso, N. Siar +1
We discuss a pointwise numerical differentiation formula on multivariate scattered data, based on the coefficients of local polynomial interpolation at Discrete Leja Points, writte…
On the constrained mock-Chebyshev least-squares
Stefano De Marchi, Francesco Dell'Accio, Mariarosa Mazza
The algebraic polynomial interpolation on uniformly distributed nodes is affected by the Runge phenomenon, also when the function to be interpolated is analytic. Among all techniqu…
Bivariate Shepard-Bernoulli operators
F. Dell'Accio, F. Di Tommaso
In this paper we extend the Shepard-Bernoulli operators introduced in [6] to the bivariate case. These new interpolation operators are realized by using local support basis functio…