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Matrix analysis and applications

Zhang, Xianda.

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Matrix analysis and applications

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Matrix analysis and applications/ Xian-Da Zhang.
作者:	Zhang, Xianda.
出版者:	Cambridge :Cambridge University Press, : 2017.,
面頁冊數:	xxxvi, 723 p. :digital ;24 cm.
附註:	Title from publisher's bibliographic system (viewed on 24 Oct 2017).
標題:	Matrices - Textbooks. -
電子資源:	https://doi.org/10.1017/9781108277587
ISBN:	9781108277587

Matrix analysis and applications
Zhang, Xianda.

Matrix analysis and applications[electronic resource] /Xian-Da Zhang. - Cambridge :Cambridge University Press,2017. - xxxvi, 723 p. :digital ;24 cm.

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: 9781108277587Subjects--Topical Terms:

621257
Matrices
--Textbooks.

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

Dewey Class. No.: 512.9434

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.
650 0 $a Matrices $v Textbooks. $3 621257
650 0 $a Matrix analytic methods $v Textbooks. $3 3440299
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