Reproducing Kernel Spaces and Applications
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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
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Über den Autor
- Taschenbuch
- 200 Seiten
- Erschienen 2019
- O'Reilly Media
- Hardcover
- 664 Seiten
- Erschienen 2005
- Morgan Kaufmann
- Hardcover -
- Erschienen 2005
- Microsoft Press
- Kartoniert
- 342 Seiten
- Erschienen 2019
- dpunkt.verlag GmbH
- Kartoniert
- 308 Seiten
- Erschienen 2023
- dpunkt.verlag GmbH




