Look Inside Matrix Analysis and Applications

Matrix Analysis and Applications

Author: Xian-Da Zhang, Tsinghua University, Beijing

Date Published: October 2017
availability: Available
format: Hardback
isbn: 9781108417419

Rate & review

Hardback

Add to wishlist

Other available formats:
eBook

Looking for an examination copy?

This title is not currently available for examination. However, if you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact collegesales@cambridge.org providing details of the course you are teaching.

Description

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.
- Presents matrix analysis in a novel framework
- Tackles gradient analysis and optimization, a very topical subject matter
- Provides new applications and perspectives of matrix analysis that are unique to this book
Read more
Reviews & endorsements
'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
'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
See more reviews
Customer reviews

Not yet reviewed
Be the first to review

Log in to review

Review was not posted due to profanity
×

, create a review

(If you're not , sign out)

Please enter the right captcha value

Please enter a star rating.

Your review must be a minimum of 12 words.

How do you rate this item?

Reviews must contain at least 12 words about the product.

×

Product details
- Date Published: October 2017
- format: Hardback
- isbn: 9781108417419
- length: 756 pages
- dimensions: 254 x 179 x 46 mm
- weight: 1.48kg
- availability: Available
Table of Contents
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.
Look Inside
Author
Xian-Da Zhang, Tsinghua University, Beijing
Xian-Da Zhang is Professor Emeritus in the Department of Automation at Tsinghua University, Beijing. He was a Distinguished Professor at Xidian University, Xi'an, China - a post awarded by the Ministry of Education of China, and funded by the Ministry of Education of China and the Cheung Kong Scholars Programme - from 1999 to 2002. His areas of research include signal processing, pattern recognition, machine learning and related applied mathematics. He has published over 120 international journal and conference papers, and seven books in Chinese. He taught the graduate course 'Matrix Analysis and Applications' at Tsinghua University from 2004 to 2011.