000			02257cam a22003378i 4500
001			19972136
003			OSt
005			20240812085140.0
008			170831s2017 enk b 001 0 eng
010			_a 2017033516
020			_a9781108417419
040			_aDLC _beng _erda _cTUPM
042			_apcc
050		0	_aQA 184.2 _bZ43 2017
100	1		_aZhang, Xianda, _d1946- _eauthor.
245	0	0	_aMatrix analysis and applications / _cXian-Da Zhang, Tsinghua University, Beijing.
263			_a1711
264		1	_aCambridge : _bCambridge University Press, _c[2017]
300			_axxxvi, 723 pages ; _c26 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
505	0		_a1. Introduction to matrix algebra -- 2. Special matrices -- 3. Matrix differential -- 4. Gradient analysis and optimization -- 5. Singular value analysis -- 6. Solving matrix equations -- 7. Eigenanalysis -- 8. Subspaces analysis and tracking -- 9. Projection analysis -- 10. Tensor analysis.
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	1	0	_aMatrices _vTextbooks.
650	1	0	_aMatrix analytic methods _vTextbooks.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2lcc _cBK
999			_c3129 _d3129