000			02200nam a22003618i 4500
001			CR9781316219232
003			UkCbUP
005			20200124160215.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			140926s2016||||enk o ||1 0|eng|d
020			_a9781316219232 (ebook)
020			_z9781107104099 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQA322.4 _b.P38 2016
082	0	0	_a515/.733 _223
100	1		_aPaulsen, Vern I., _d1951- _eauthor.
245	1	3	_aAn introduction to the theory of reproducing kernel Hilbert spaces / _cVern I. Paulsen, Mrinal Raghupathi.
264		1	_aCambridge : _bCambridge University Press, _c2016.
300			_a1 online resource (x, 182 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aCambridge studies in advanced mathematics ; _v152
500			_aTitle from publisher's bibliographic system (viewed on 05 Apr 2016).
520			_aReproducing 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.
650		0	_aHilbert space _vTextbooks.
650		0	_aKernel functions _vTextbooks.
700	1		_aRaghupathi, Mrinal, _eauthor.
776	0	8	_iPrint version: _z9781107104099
830		0	_aCambridge studies in advanced mathematics ; _v152.
856	4	0	_uhttps://doi.org/10.1017/CBO9781316219232
999			_c516150 _d516148