Reproducing Kernel Spaces and Applications

Released on by Daniel Alpay
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  • Reproducing Kernel Spaces and Applications Book Detail

  • Author : Daniel Alpay
  • Release Date : 2012-12-06
  • Publisher : Birkhäuser
  • Genre : Mathematics
  • Pages : 355
  • ISBN 13 : 3034880774
  • File Size : 79,79 MB
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Reproducing Kernel Spaces and Applications by Daniel Alpay PDF Summary

Book Description: 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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Reproducing Kernel Spaces and Applications

Reproducing Kernel Spaces and Applications

File Size : 93,93 MB
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The notions of positive functions and of reproducing kernel Hilbert spaces play an important role in various fields of mathematics, such as stochastic processes

Reproducing Kernel Spaces and Applications

Reproducing Kernel Spaces and Applications

File Size : 80,80 MB
Total View : 5996 Views
DOWNLOAD

The notions of positive functions and of reproducing kernel Hilbert spaces play an important role in various fields of mathematics, such as stochastic processes