國立虎尾科技大學 |

Matrix analysis and applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Matrix analysis and applications // Xian-Da Zhang, Tsinghua University, Beijing.
作者:	Zhang, Xianda,
面頁冊數:	1 online resource (xxxvi, 723 pages) :digital, PDF file(s). :
附註:	Title from publisher's bibliographic system (viewed on 24 Oct 2017).
標題:	Matrices - Congresses. -
電子資源:	https://doi.org/10.1017/9781108277587
ISBN:	9781108277587 (ebook)

Matrix analysis and applications /
Zhang, Xianda,1946-

Matrix analysis and applications /Xian-Da Zhang, Tsinghua University, Beijing. - 1 online resource (xxxvi, 723 pages) :digital, PDF file(s).

Title from publisher's bibliographic system (viewed on 24 Oct 2017).

This 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.

ISBN: 9781108277587 (ebook)Subjects--Topical Terms:

527694
Matrices
--Congresses.

LC Class. No.: QA184.2 / .Z43 2017

Dewey Class. No.: 512.9/434

Matrix analysis and applications /
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500 $a Title from publisher's bibliographic system (viewed on 24 Oct 2017).
520 $a This 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.
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650 0 $a Matrix analytic methods $v Congresses. $3 1071400
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