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Analyse matricielle par Horn, Roger A. ; Johnson, Charles R.

by Horn, Roger A.; Johnson, Charles R. | PB | Good
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Caractéristiques de l'objet

État
Bon état
Livre ayant déjà été lu, mais qui est toujours en bon état. La couverture présente des dommages mineurs, comme des éraflures, mais n'est ni trouée ni déchirée. Pour les couvertures rigides, la jaquette n'est pas nécessairement incluse. La reliure présente des marques d'usure mineures. La majorité des pages sont intactes. Pliures et déchirures mineures. Soulignement de texte mineur au crayon. Aucun surlignement de texte. Aucune note dans les marges. Aucune page manquante. Consulter l'annonce du vendeur pour avoir plus de détails et voir la description des défauts. Afficher toutes les définitions des étatsla page s'ouvre dans une nouvelle fenêtre ou un nouvel onglet
Commentaires du vendeur
“Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, ...
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
Author
Charles R. Johnson, Roger A. Horn
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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