Towards intelligent modeling [electronic resource] : statistical approximation theory / George A. Anastassiou and Oktay Duman.
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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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin ; Heidelberg :
Springer,
©2011.
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| Series: | Intelligent systems reference library ;
v. 14. |
| Subjects: |
MARC
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| 100 | 1 | |a Anastassiou, George A., |d 1952- |0 http://id.loc.gov/authorities/names/n86803977 |1 http://isni.org/isni/0000000122813449. | |
| 245 | 1 | 0 | |a Towards intelligent modeling |h [electronic resource] : |b statistical approximation theory / |c George A. Anastassiou and Oktay Duman. |
| 260 | |a Berlin ; |a Heidelberg : |b Springer, |c ©2011. | ||
| 300 | |a 1 online resource (xvi, 234 pages) : |b color illustrations. | ||
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| 490 | 1 | |a Intelligent systems reference library ; |v v. 14. | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a 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. | |
| 520 | |a 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. In this monograph we consider this concept in approximating a function by linear operators, especially when the classical limit fails. The results of this book not only cover the classical and statistical approximation theory, but also are applied in the fuzzy logic via the fuzzy-valued operators. The authors in particular treat the important Korovkin approximation theory of positive linear operators in statistical and fuzzy sense. They also present various statistical approximation theorems for some specific real and complex-valued linear operators that are not positive. This is the first monograph in Statistical Approximation Theory and Fuzziness. The chapters are self-contained and several advanced courses can be taught. 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. | ||
| 588 | 0 | |a Print version record. | |
| 650 | 0 | |a Approximation theory. |0 http://id.loc.gov/authorities/subjects/sh85006190. | |
| 650 | 7 | |a Approximation theory. |2 fast |0 (OCoLC)fst00811829. | |
| 700 | 1 | |a Duman, Oktay, |d 1975- |0 http://id.loc.gov/authorities/names/no2011116138 |1 http://isni.org/isni/0000000123437297. | |
| 776 | 0 | 8 | |i Print version: |a Anastassiou, George A., 1952- |t Towards intelligent modeling. |d Berlin ; Heidelberg : Springer, ©2011 |w (DLC) 2011923549. |
| 830 | 0 | |a Intelligent systems reference library ; |v v. 14. |0 http://id.loc.gov/authorities/names/no2009180237. | |
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