An introduction to the theory of reproducing kernel hilbert spaces (Record no. 32947)

000 -LEADER
fixed length control field 01943 a2200217 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20231205111609.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-1107104099
040 ## - CATALOGING SOURCE
Original cataloging agency ICTS-TIFR
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA322.4 .P38
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Paulsen, Vern I.
245 ## - TITLE STATEMENT
Title An introduction to the theory of reproducing kernel hilbert spaces
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Cambridge University Press,
Place of publication, distribution, etc. Cambridge, U.K.:
Date of publication, distribution, etc. [c2016]
300 ## - Physical Description
Pages: 182 p.
490 ## - SERIES STATEMENT
Series statement Cambridge Studies in Advanced Mathematics
Volume/sequential designation Vol. 152
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Part I. General Theory:<br/>1. Introduction<br/>2. Fundamental results<br/>3. Interpolation and approximation<br/>4. Cholesky and Schur<br/>5. Operations on kernels<br/>6. Vector-valued spaces<br/><br/>Part II. Applications and Examples:<br/>7. Power series on balls and pull-backs<br/>8. Statistics and machine learning<br/>9. Negative definite functions<br/>10. Positive definite functions on groups<br/>11. Applications of RKHS to integral operators<br/>12. Stochastic processes.
520 ## - SUMMARY, ETC.
Summary, etc. 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.---provided by publisher
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Raghupathi, Mrinal
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Book
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Home library Shelving location Date acquired Inventory number Full call number Accession No. Koha item type
        Mathematics ICTS Rack No 5 12/05/2023 IN763 Dt. 20 Nov 2023 QA322.4 .P38 02776 Book