000			01823cam a22002898i 4500
999			_c39352 _d39352
001			19972136
005			20190919175425.0
008			170831s2017 enk b 001 0 eng
010			_a 2017033516
020			_a9781108417419
040			_aDLC _beng _erda _cDLC
042			_apcc
050	0	0	_aQA184.2 _b.Z43 2017
082	0	0	_a512.9434 ZHA-X _223
100	1		_aZhang, Xianda, _d1946- _eauthor.
245	1	0	_aMatrix analysis and applications / _cXian-Da Zhang, Tsinghua University, Beijing.
260			_aNY _bCambridge University Press _c2017
263			_a1711
300			_a723 p.
365			_aGBP _b54.99
500			_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.
504			_aIncludes bibliographical references and index.
650		0	_aMatrices _vTextbooks.
650		0	_aMatrix analytic methods _vTextbooks.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
955			_brl03 2017-08-31 _irl03 2017-08-31 to Dewey