Matrix Analysis and Applications

Nonfiction, Science & Nature, Mathematics, Algebra, Science
Cover of the book Matrix Analysis and Applications by Xian-Da Zhang, Cambridge University Press
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Author: Xian-Da Zhang ISBN: 9781108278751
Publisher: Cambridge University Press Publication: October 5, 2017
Imprint: Cambridge University Press Language: English
Author: Xian-Da Zhang
ISBN: 9781108278751
Publisher: Cambridge University Press
Publication: October 5, 2017
Imprint: Cambridge University Press
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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