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Analyse matricielle par Horn, Roger A. ; Johnson, Charles R.
by Horn, Roger A.; Johnson, Charles R. | PB | Good
8,47 USD
Environ7,21 EUR
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Numéro de l'objet eBay :376248883313
Dernière mise à jour le 28 juin 2025 07:05:56 CEST. Afficher toutes les modificationsAfficher toutes les modifications
Caractéristiques de l'objet
- État
- Bon état
- Commentaires du vendeur
- Binding
- Paperback
- Book Title
- Matrix Analysis
- Weight
- 1 lbs
- Product Group
- Book
- IsTextBook
- Yes
- ISBN
- 9780521386326
À propos de ce produit
Product Identifiers
Publisher
Cambridge University Press
ISBN-10
0521386322
ISBN-13
9780521386326
eBay Product ID (ePID)
972907
Product Key Features
Number of Pages
575 Pages
Publication Name
Matrix Analysis
Language
English
Subject
Mechanics / General, Algebra / General
Publication Year
1990
Type
Textbook
Subject Area
Mathematics, Science
Format
Trade Paperback
Dimensions
Item Height
1.1 in
Item Weight
27.9 Oz
Item Length
9.2 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
Dewey Edition
23
Reviews
'There seems little doubt that the book will become a standard reference for research workers in numerical mathematics.' Computing Reviews, 'On the whole the authors have done an excellent job of supplying linear algebraists and applied mathematicians with a well-organized comprehensive survey, which can serve both as a text and as a reference. The reviewer recommends that everyone working in these fields have this book on his/her desk.' Linear Algebra and its Applications, ‘The reviewer strongly recommends that those working in either pure or applied linear algebra have this book on their desks.’SIAM Review, 'The reviewer strongly recommends that those working in either pure or applied linear algebra have this book on their desks.' SIAM Review, "The presentation is straightforward and extremely readable. The authors' enthusiasm pervades the book, and the printing is what we expect from this publisher. This will doubtless be the standard text for years to come." American Scientist, ‘There seems little doubt that the book will become a standard reference for research workers in numerical mathematics.’Computing Reviews, ‘On the whole the authors have done an excellent job of supplying linear algebraists and applied mathematicians with a well-organized comprehensive survey, which can serve both as a text and as a reference. The reviewer recommends that everyone working in these fields have this book on his/her desk.’Linear Algebra and its Applications
Illustrated
Yes
Dewey Decimal
512.9/434
Table Of Content
Preface; Review and miscellanea; 1. Eigenvalues, eigenvectors, and similarity; 2. Unitary equivalence and normal matrices; 3. Canonical forms; 4. Hermitian and symmetric matrices; 5. Norms for vectors and matrices; 6. Location and perturbation of eigenvalues; 7. Positive definite matrices; 8. Non-negative matrices; 9. Appendices; References.
Synopsis
Linear algebra and matrix theory have long been fundamental tools in mathematical disciplines as well as fertile fields for research. In this book the authors present classical and recent results of 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 mathematical science, but the necessary material has appeared only sporadically in the literature and in university curricula. As interest in applied mathematics has grown, the need for a text and reference offering a broad selection of topics in matrix theory has become apparent, and this book meets that need. This volume reflects two concurrent views of matrix analysis. First, it encompasses topics in linear algebra that have arisen out of the needs of mathematical analysis. Second, it is an approach to real and complex linear algebraic problems that does not hesitate to use notions from analysis. Both views are reflected in its choice and treatment of topics., 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., Matrix Analysis presents the classical and recent results for matrix analysis that have proved to be important to applied mathematics., Matrix Analysis presents the classical and recent results for matrix analysis that have proved to be important to applied mathematics. Facts about matrices, beyond those found in elementary linear algebra courses, are needed to understand most areas of mathematics. This book offers a broad selection of topics for students of matrix analysis.
LC Classification Number
QA188 .H66 1985
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