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Cited by 10,280

The DOI matches its Crossref record.

Matrix Analysis

Horn, Roger A., Johnson, Charles R.·1985·Cambridge University Press eBooks
DOI 10.1017/cbo9780511810817
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Abstract

In this book the authors present classical and recent results for matrix analysis that have proved to be important to applied mathematics. Facts about matrices, beyond those found in an elementary linear algebra course, are needed to understand virtually any area of mathematics, and the necessary material has only occurred sporadically in the literature and university curricula. As the interest in applied mathematics has grown, the need for a text and a reference work offering a broad selection of topics has become apparent, and this book aims to meet that need. This book will be welcomed as an undergraduate or graduate textbook for students studying matrix analysis. The authors assume a background in elementary linear algebra and knowledge of rudimentary analytical concepts. They begin with a review and discussion of eigenvalues and eigenvectors. The following chapters each treat a major topic in depth. This volume should be useful not only as a text, but also as a self-contained reference work to a variety of audiences in other scientific fields.

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Metadata

Authors
Horn, R. A., & Johnson, C. R.
Venue
Cambridge University Press eBooks
Publisher
Cambridge University Press
Published
1985-12-27
DOI
10.1017/cbo9780511810817
OpenAlex
W391578156
Cited by
10,280
References
0
FWCI
6.93
Type
book
Language
en
Open access
closed

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.