Reproducing Kernel Spaces and Applications
(Sprache: Englisch)
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...
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Klappentext zu „Reproducing Kernel Spaces and Applications “
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.
Inhaltsverzeichnis zu „Reproducing Kernel Spaces and Applications “
Contributions by- J. Agler
- F.B. Yeh and N.J. Young
- D. Alpay
- T.Ya. Azizov
- A. Dijksma
- H. Langer and G. Wanjala
- J.A. Ball and V. Vinnikov
- M.F. Bessmertnyi
- D. Chang
- R. Gilbert and J. Tie
- H. Dym
- F. Gesztesy and L. Sakhnovich
- T. Kriete
- M. Mboup
- S. Saitoh
- F. Szafraniec
- F. Vasilescu
Bibliographische Angaben
- 2003, 344 Seiten, Maße: 18,3 x 26 cm, Gebunden, Englisch
- Herausgegeben:Alpay, Daniel
- Herausgegeben: Daniel Alpay
- Verlag: Springer
- ISBN-10: 376430068X
- ISBN-13: 9783764300685
- Erscheinungsdatum: 29.08.2003
Sprache:
Englisch
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