
Reproducing Kernel Spaces and Applications
Kurzinformation



inkl. MwSt. Versandinformationen
Artikel zZt. nicht lieferbar
Artikel zZt. nicht lieferbar

Beschreibung
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. von Alpay, Daniel
Produktdetails

So garantieren wir Dir zu jeder Zeit Premiumqualität.
Über den Autor
- hardcover
- 590 Seiten
- Erschienen 2006
- Galileo Computing
- Kartoniert
- 316 Seiten
- Erschienen 2011
- Vieweg+Teubner Verlag
- hardcover
- 414 Seiten
- Erschienen 1987
- McGraw-Hill Inc.,US
- hardcover
- 1054 Seiten
- Erschienen 2006
- Pearson
- paperback
- 292 Seiten
- Erschienen 2020
- Apress
- hardcover
- 376 Seiten
- Erschienen 2009
- O'Reilly
- hardcover
- 658 Seiten
- Smart Books
- hardcover
- 779 Seiten
- Erschienen 2000
- Pearson
- Hardcover
- 821 Seiten
- Erschienen 2016
- Rheinwerk Computing