| 000 | 01675cam a2200241 i 4500 | ||
|---|---|---|---|
| 001 | 19972136 | ||
| 005 | 20250610102221.0 | ||
| 008 | 170831s2017 enk b 001 0 eng | ||
| 020 | _a9781108417419 | ||
| 040 |
_aCSL _cCSL |
||
| 041 |
_2eng _aeng |
||
| 084 |
_aB245 Q7 NBHM _qCSL |
||
| 100 | 1 |
_aZhang, Xianda, _eauthor. _9812322 |
|
| 245 | 1 | 0 | _aMatrix analysis and applications |
| 264 | 1 |
_aCambridge : _bCambridge University Press, _c2017. |
|
| 300 |
_axxxvi, 723 p. ; _c26 cm |
||
| 504 | _aIncludes bibliographical references and index. | ||
| 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 | |
| 650 | 0 |
_aMatrix algebra _9812323 |
|
| 650 | 0 |
_aMatrix analytic methods _9812324 |
|
| 942 |
_2CC _n0 _cTEXL _hB245 Q7 NBHM |
||
| 999 |
_c1431539 _d1431539 |
||