Reproducing Kernel Spaces and Applications

Reproducing Kernel Spaces and Applications
Author :
Publisher : Springer Science & Business Media
Total Pages : 370
Release :
ISBN-10 : 376430068X
ISBN-13 : 9783764300685
Rating : 4/5 (8X Downloads)

Book Synopsis Reproducing Kernel Spaces and Applications by : Daniel Alpay

Download or read book Reproducing Kernel Spaces and Applications written by Daniel Alpay and published by Springer Science & Business Media. This book was released on 2003-08-29 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: The notions of positive functions and of reproducing kernel Hilbert spaces play an important role in various fields of mathematics, such as stochastic processes, linear systems theory, operator theory, and the theory of analytic functions. Also they are relevant for many applications, for example to statistical learning theory and pattern recognition. The present volume contains a selection of papers which deal with different aspects of reproducing kernel Hilbert spaces. Topics considered include one complex variable theory, differential operators, the theory of self-similar systems, several complex variables, and the non-commutative case. The book is of interest to a wide audience of pure and applied mathematicians, electrical engineers and theoretical physicists.


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