000			02060nam a22003258i 4500
001			CR9781108277587
003			UkCbUP
005			20200124160209.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			170112s2017||||enk o ||1 0|eng|d
020			_a9781108277587 (ebook)
020			_z9781108417419 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQA184.2 _b.Z43 2017
082	0	0	_a512.9/434 _223
100	1		_aZhang, Xianda, _d1946- _eauthor.
245	1	0	_aMatrix analysis and applications / _cXian-Da Zhang, Tsinghua University, Beijing.
264		1	_aCambridge : _bCambridge University Press, _c2017.
300			_a1 online resource (xxxvi, 723 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 24 Oct 2017).
520			_aThis balanced and comprehensive study presents the theory, methods and applications of matrix analysis in a new theoretical framework, allowing readers to understand second-order and higher-order matrix analysis in a completely new light. Alongside the core subjects in matrix analysis, such as singular value analysis, the solution of matrix equations and eigenanalysis, the author introduces new applications and perspectives that are unique to this book. The very topical subjects of gradient analysis and optimization play a central role here. Also included are subspace analysis, projection analysis and tensor analysis, subjects which are often neglected in other books. Having provided a solid foundation to the subject, the author goes on to place particular emphasis on the many applications matrix analysis has in science and engineering, making this book suitable for scientists, engineers and graduate students alike.
650		0	_aMatrices _vTextbooks.
650		0	_aMatrix analytic methods _vTextbooks.
776	0	8	_iPrint version: _z9781108417419
856	4	0	_uhttps://doi.org/10.1017/9781108277587
999			_c515577 _d515575