Reproducing Kernel Spaces and Applications PDF
By:Daniel Alpay
Published on 2003-08-29 by Springer Science & Business Media
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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Book which was published by Springer Science & Business Media since 2003-08-29 have ISBNs, ISBN 13 Code is 9783764300685 and ISBN 10 Code is 376430068X
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