Towards Intelligent Modeling: Statistical Approximation Theory

The main idea of statistical convergence is to demand convergence only for a majority of elements of a sequence. This method of convergence has been investigated in many fundamental areas of mathematics such as: measure theory, approximation theory, fuzzy logic theory, summability theory, and so on....

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Détails bibliographiques
Auteurs principaux: Anastassiou, George, 1952-, Duman, Oktay, 19..-...., mathématicien (Auteur), Duman, Oktay (Auteur)
Format: Livre numérique
Langue:Anglais
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Édition:1st ed. 2011.
Collection:Intelligent Systems Reference Library 14
Accès en ligne:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Note: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Towards Intelligent Modeling: Statistical Approximation Theory, Texte imprimé, 9783642198250
• Towards Intelligent Modeling: Statistical Approximation Theory, Texte imprimé, 9783642268175
• Towards Intelligent Modeling: Statistical Approximation Theory, Texte imprimé, 9783642198274
Table des matières:
  •  Introduction Statistical Approximation by Bivariate Picard Singular Integral Operators Uniform Approximation in Statistical Sense by Bivariate Gauss-Weierstrass Singular Integral Operators Statistical Lp-Convergence of Bivariate Smooth Picard Singular Integral Operators Statistical Lp-Approximation by Bivariate Gauss-Weierstrass Singular Integral Operators A Baskakov-Type Generalization of Statistical Approximation Theory Weighted Approximation in Statistical Sense to Derivatives of Functions Statistical Approximation to Periodic Functions by a General Family of Linear Operators Relaxing the Positivity Condition of Linear Operators in Statistical Korovkin Theory Statistical Approximation Theory for Stochastic Processes Statistical Approximation Theory for Multivariate Stochas tic Processes