Buch, Englisch, Band 14, 236 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 388 g
Buch, Englisch, Band 14, 236 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 388 g
Reihe: Intelligent Systems Reference Library
ISBN: 978-3-642-26817-5
Verlag: Springer
The research findings will be useful in various applications including applied and computational mathematics, stochastics, engineering, artificial intelligence, vision and machine learning. This monograph is directed to graduate students, researchers, practitioners and professors of all disciplines.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Fuzzy-Systeme
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
- Mathematik | Informatik Mathematik Stochastik
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
Weitere Infos & Material
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.