000			02151nam a22003378i 4500
001			CR9780511623837
003			UkCbUP
005			20200124160256.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			090916s1990||||enk o ||1 0|eng|d
020			_a9780511623837 (ebook)
020			_z9780521371490 (hardback)
020			_z9780521558907 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQA273.6 _b.R53 1990
082	0	0	_a519.2/4 _220
100	1		_aRichards, Ian, _d1936- _eauthor.
245	1	0	_aTheory of distributions : _ba non-technical introduction / _cIan Richards, Heekyung Youn.
264		1	_aCambridge : _bCambridge University Press, _c1990.
300			_a1 online resource (ix, 147 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520			_aThis book is a self-contained introduction to the theory of distributions, sometimes called generalized functions. Most books on this subject are either intuitive or else rigorous but technically demanding. Here, by concentrating on the essential results, the authors have introduced the subject in a way that will most appeal to non-specialists, yet is still mathematically correct. Topics covered include: the Dirac delta function, generalized functions, dipoles, quadrupoles, pseudofunctions and Fourier transforms. The self-contained treatment does not require any knowledge of functional analysis or topological vector spaces; even measure theory is not needed for most of the book. The book, which can be used either to accompany a course or for self-study, is liberally supplied with exercises. It will be a valuable introduction to the theory of distributions and their applications for students or professionals in statistics, physics, engineering and economics.
650		0	_aDistribution (Probability theory)
700	1		_aYoun, Heekyung, _eauthor.
776	0	8	_iPrint version: _z9780521371490
856	4	0	_uhttps://doi.org/10.1017/CBO9780511623837
999			_c519957 _d519955