Intelligent Mathematics: Computational Analysis
The exposed results are expected to find applications to: applied and computational mathematics, stochastics, engineering, artificial intelligence, vision, complexity and machine learning. This monograph is suitable for graduate students and researchers
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| Format: | eBook |
| Language: | English |
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Berlin, Heidelberg
Springer Berlin Heidelberg
2011, 2011
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| Edition: | 1st ed. 2011 |
| Series: | Intelligent Systems Reference Library
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| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Introduction
- Convex Probabilistic Wavelet like Approximation
- Bidimensional Constrained Wavelet like Approximation
- Multidimensional Probabilistic Scale Approximation
- Multidimensional probabilistic approximation in wavelet like structure
- About L-Positive Approximations: About Shape Preserving Weighted Uniform Approximation
- Jackson-Type Nonpositive Approximations for Definite Integrals
- Discrete Best L1 Approximation using the Gauges Way
- Quantitative Uniform Convergence of Smooth Picard Singular Integral Operators
- Global Smoothness and Simultaneous Approximation by Smooth Picard Singular Operators
- Convergence Results
- Approximation with Rates by Fractional Smooth Picard
- Singular Operators
- Multivariate Generalized Picard Singular Integral Operators
- Approximation by q-Gauss-Weierstrass Singular Integral Operators
- Quantitative Approximation by Univariate Shift-Invariant
- Integral Operators