书目名称 | Convergence Estimates in Approximation Theory |
编辑 | Vijay Gupta,Ravi P. Agarwal |
视频video | http://file.papertrans.cn/238/237734/237734.mp4 |
概述 | Covers general approximation methods on linear positive operators.Provides key results on study of convergence, its direct results, rate of convergence, and asymptotic behavior.Presents convergence in |
图书封面 |  |
描述 | The study of linear positive operators is an area of mathematical studies with significant relevance to studies of computer-aided geometric design, numerical analysis, and differential equations. This book focuses on the convergence of linear positive operators in real and complex domains. The theoretical aspects of these operators have been an active area of research over the past few decades. In this volume, authors Gupta and Agarwal explore new and more efficient methods of applying this research to studies in Optimization and Analysis. The text will be of interest to upper-level students seeking an introduction to the field and to researchers developing innovative approaches. |
出版日期 | Book 2014 |
关键词 | Bezier variant; approximation; bounded variation; convergence; linear combinations; linear positive opera |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-319-02765-4 |
isbn_softcover | 978-3-319-35013-4 |
isbn_ebook | 978-3-319-02765-4 |
copyright | Springer International Publishing Switzerland 2014 |