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Matrix Analysis and Applications By Zhang, Xian-Da Xian-Da Zhang

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Item specifics

Condition
Very Good: A book that does not look new and has been read but is in excellent condition. No obvious ...
Title
Matrix Analysis and Applications
ISBN
9781108417419

About this product

Product Identifiers

Publisher
Cambridge University Press
ISBN-10
1108417418
ISBN-13
9781108417419
eBay Product ID (ePID)
237028813

Product Key Features

Number of Pages
756 Pages
Publication Name
Matrix Analysis and Applications
Language
English
Subject
Algebra / Abstract, Matrices
Publication Year
2017
Type
Textbook
Subject Area
Mathematics
Author
Xian-Da Zhang
Format
Hardcover

Dimensions

Item Height
1.8 in
Item Weight
52.2 Oz
Item Length
10 in
Item Width
7 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2017-033516
Dewey Edition
23
Reviews
Advance praise: 'This book provides various new topics on Matrix Analysis and Applications, which are not covered by some popular books on matrix analysis and computation. The text is well written, easy to be understood. There are several classical books on matrix analysis and computation on my bookshelf. But I will be happy to have this book on my bookshelf too.' Liqun Qi, Hong Kong Polytechnic University, Advance praise: 'Matrix analysis is the engine room of scientific computing since, inevitably, most computational problems are reduced to linear algebra. Xian-Da Zhang's monograph presents a thoroughly modern introduction to this important subject in a form suitable for its many users. Without taking liberties with mathematical content, the text privileges an algorithmic approach and ventures into new and important areas, e.g. tensor analysis. This is a valuable addition to any applied mathematician's bookshelf.' Arieh Iserles, University of Cambridge
Illustrated
Yes
Dewey Decimal
512.9434
Table Of Content
Preface; Notation; List of abbreviations; List of algorithms; Part I. Matrix Algebra: 1. Introduction to matrix algebra; 2. Special matrices; 3. Matrix differential; Part II. Matrix Analysis: 4. Gradient analysis and optimization; 5. Singular value analysis; 6. Solving matrix equations; 7. Eigenanalysis; 8. Subspace analysis and tracking; 9. Projection analysis; Part III. Higher-Order Matrix Analysis: 10. Tensor analysis; References; Index.
Synopsis
This balanced and comprehensive study presents the theory, methods and applications of matrix analysis in a new theoretical framework. The author also covers often neglected subjects, such as subspace analysis, projection analysis and tensor analysis, and even tackles the topical subject matter of gradient analysis and optimization., 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.
LC Classification Number
QA188

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