书目名称 | Intelligent Mathematics: Computational Analysis |
编辑 | George A. Anastassiou |
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概述 | Basic book on Intelligent Mathematics: Computational Analysis.Presents the Principles of Computational Analysis related to Intelligent systems.Written by a leading expert in the field |
丛书名称 | Intelligent Systems Reference Library |
图书封面 |  |
描述 | .Knowledge can be modeled and computed using computational mathematical methods, then lead to real world conclusions. The strongly related to that Computational Analysis is a very large area with lots of applications. This monograph includes a great variety of topics of Computational Analysis. We present: probabilistic wavelet approximations, constrained abstract approximation theory, shape preserving weighted approximation, non positive approximations to definite integrals, discrete best approximation, approximation theory of general Picard singular operators including global smoothness preservation property, fractional singular operators. We also deal with non-isotropic general Picard singular multivariate operators and q-Gauss-Weierstrass singular q-integral operators. We talk about quantitative approximations by shift-invariant univariate and multivariate integral operators, nonlinear neural networks approximation, convergence with rates of positive linear operators, quantitative approximation by bounded linear operators, univariate and multivariate quantitative approximation by stochastic positive linear operators on univariate and multivariate stochastic processes. We f |
出版日期 | Book 2011 |
关键词 | Computational Analysis; Fractional Approximation; Intelligent Systems; Neural Networks |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-642-17098-0 |
isbn_softcover | 978-3-642-43658-1 |
isbn_ebook | 978-3-642-17098-0Series ISSN 1868-4394 Series E-ISSN 1868-4408 |
issn_series | 1868-4394 |
copyright | Springer Berlin Heidelberg 2011 |