Reproducing kernel Hilbert spaces have developed into an important tool in many areas, especially statistics and machine learning, and they play a valuable role in complex analysis, probability, group representation theory, and the theory of integral operators. This unique text offers a unified overview of the topic, providing detailed examples of applications, as well as covering the fundamental underlying theory, including chapters on interpolation and approximation, Cholesky and Schur operations on kernels, and vector-valued spaces. Self-contained and accessibly written, with exercises at the end of each chapter, this unrivalled treatment of the topic serves as an ideal introduction for graduate students across mathematics, computer science, and engineering, as well as a useful reference for researchers working in functional analysis or its applications.
| ISBN: | 9781107104099 |
| Publication date: | 11th April 2016 |
| Author: | Vern I University of Waterloo, Ontario Paulsen, Mrinal Raghupathi |
| Publisher: | Cambridge University Press |
| Format: | Hardback |
| Pagination: | 192 pages |
| Series: | Cambridge Studies in Advanced Mathematics |
| Genres: |
Functional analysis and transforms Quantum physics (quantum mechanics and quantum field theory) |