Mar 24, 1980 · The methods are applicable to approximation in several variables and are shown to be competitive with the differential correction algorithm.

The methods are applicable to approximation in several variables and are shown to be competitive with the differential correction algorithm. I. Introduction.

The results in this chapter are derived from Linear algebra with applications by S. J. Leon [2], from A choice of norm in discrete approximation by T. Maroševic ...

Reliable polynomial rootfinding software, which requires no a priori estimates for the zeros, is now a part of almost all language packages (Matlab, Maple, ...

The work described in Chapters 2 and 3 of this thesis is a contribution to the development of satisfactory techniques for computing these approximations free ...

To obtain more uniformly accurate approximation, we can use. Chebyshev polynomials Tk(x) in Padé approximation framework. For N = n + m, we use r(x) = P n k=0.

Aug 21, 2024 · Chebyshev polynomials are key players in numerical analysis, offering powerful tools for approximation and integration.

This paper introduces a new method for order reduction, using orthogonal polynomials, through Chebyshev rational functions and the harmony search algorithm. To ...

In 1952, Cornelius Lanczos showed that the Chebyshev polynomials are important in approximation theory for the solution of linear systems; the roots of Tn(x), ...

Aug 20, 2024 · Chebyshev rational functions are powerful tools in Approximation Theory, offering unique properties for function approximation.