Strong Inequalities for Hermite‐Fejér Interpolations and Characterization of K‐Functionals
Gongqiang You
Abstract and Applied Analysis, 2014, vol. 2014, issue 1
Abstract:
The works of Smale and Zhou (2003, 2007), Cucker and Smale (2002), and Cucker and Zhou (2007) indicate that approximation operators serve as cores of many machine learning algorithms. In this paper we study the Hermite‐Fejér interpolation operator which has this potential of applications. The interpolation is defined by zeros of the Jacobi polynomials with parameters −1
Date: 2014
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1155/2014/781068
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wly:jnlaaa:v:2014:y:2014:i:1:n:781068
Access Statistics for this article
More articles in Abstract and Applied Analysis from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().