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An introduction to the Theory of Reproducing Kernel Hilbert Spaces /Vern I Paulsen

By: Contributor(s): Material type: TextTextPublisher number: :International Book Distributors | :Flat No 17, Prakash Apartment 4405/2, 5 Ansari Road Darya Ganj New Delhi :Zafaa Books & Distributors | :313/56F 49A, Anand Nagar Inderlok Delhi 110035Series: Cambridge studies in advanced mathematics, 152Publication details: Cambridge, New York :Cambridge University Press, 2016Description: x, 182p. ; 24 cmISBN:
  • 9781107104099
Subject(s): DDC classification:
  • 515.733 PAU
Contents:
Part 1 -- General theory: 1. Introduction -- 2. Fundamental results -- 3. Interpolation and approximation -- 4. Cholesky and Schur -- 5. Operations on kernals -- 6. Vector-valued spaces -- Part 2 -- Applications and examples: 7. Power series on balls and pull-backs -- 8. Statistics and machine learning -- 9. Negative definite functions -- 10. Positive definite functions on groups -- 11. Applications of RKHS to integral operators -- 12. Stochastic processes.
Summary: Covering the fundamental underlying theory as well as a range of applications, this unique text provides a unified overview of reproducing kernel Hilbert spaces. It offers an unrivalled and accessible introduction to the field, ideal for graduate students and researchers working in functional analysis or its applications
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Holdings
Item type Current library Call number Status Notes Date due Barcode
Books Books SNU LIBRARY 515.733 PAU (Browse shelf(Opens below)) Not For Loan Books Shifted in Mathematics Dept. 28596
Books Books SNU LIBRARY 515.733 PAU (Browse shelf(Opens below)) Checked out to Dr. Sneh Lata (20500012) Grant Matrix 24/08/2022 00:00 27983
Total holds: 0

Part 1 --
General theory: 1. Introduction --
2. Fundamental results --
3. Interpolation and approximation --
4. Cholesky and Schur --
5. Operations on kernals --
6. Vector-valued spaces --
Part 2 --
Applications and examples: 7. Power series on balls and pull-backs --
8. Statistics and machine learning --
9. Negative definite functions --
10. Positive definite functions on groups --
11. Applications of RKHS to integral operators --
12. Stochastic processes.

Covering the fundamental underlying theory as well as a range of applications, this unique text provides a unified overview of reproducing kernel Hilbert spaces. It offers an unrivalled and accessible introduction to the field, ideal for graduate students and researchers working in functional analysis or its applications

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