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Matrix Analysis by Roger A Horn: New

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Specificaties

Objectstaat
Nieuw: Een nieuw, ongelezen en ongebruikt boek in perfecte staat waarin geen bladzijden ontbreken of ...
Book Title
Matrix Analysis
Publication Date
2012-10-22
Edition Number
2
Pages
662
ISBN
9780521839402
Publication Name
Matrix Analysis
Item Length
10.3in
Publisher
Cambridge University Press
Publication Year
2012
Type
Textbook
Format
Hardcover
Language
English
Item Height
1.3in
Author
Charles R. Johnson, Roger A. Horn
Features
Revised
Item Width
7.2in
Item Weight
46 Oz
Number of Pages
662 Pages

Over dit product

Product Information

Linear algebra and matrix theory are fundamental tools in mathematical and physical science, as well as fertile fields for research. This second edition of this acclaimed text presents results of both classic and recent matrix analysis using canonical forms as a unifying theme and demonstrates their importance in a variety of applications. This thoroughly revised and updated second edition is a text for a second course on linear algebra and has more than 1,100 problems and exercises, new sections on the singular value and CS decompositions and the Weyr canonical form, expanded treatments of inverse problems and of block matrices, and much more.

Product Identifiers

Publisher
Cambridge University Press
ISBN-10
0521839408
ISBN-13
9780521839402
eBay Product ID (ePID)
117299685

Product Key Features

Author
Charles R. Johnson, Roger A. Horn
Publication Name
Matrix Analysis
Format
Hardcover
Language
English
Features
Revised
Publication Year
2012
Type
Textbook
Number of Pages
662 Pages

Dimensions

Item Length
10.3in
Item Height
1.3in
Item Width
7.2in
Item Weight
46 Oz

Additional Product Features

Lc Classification Number
Qa188 .H66 2012
Edition Description
Revised Edition
Edition Number
2
Reviews
'There seems little doubt that the book will become a standard reference for research workers in numerical mathematics.' Computing Reviews, "The new edition is clearly a must-have for anyone seriously interested in matrix analysis." Nick Higham, Applied mathematics, software and workflow Blog, "With the additional material and exceedingly clear exposition, this book will remain the go-to book for graduate students and researchers alike in the area of linear algebra and matrix theory. I suspect there are few readers who will go through this book and not learn many new things. It is an invaluable reference for anyone working in this area." Anne Greenbaum, SIAM Review, "The second edition of Matrix Analysis, as curated by Roger Horn and Charlie Johnson, is the definitive source and indispensable reference for the foundations of matrix analysis. The material is comprehensive yet thoughtfully collected, and presented with insightful exposition and crystal-clear organization. This book is for anyone who comes in contact with matrices, be it applied scientist, casual user, or experienced researcher." Ilse Ipsen, North Carolina State University, '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, Review of the first edition: 'There seems little doubt that the book will become a standard reference for research workers in numerical mathematics.' Computing Reviews, "The book is a valuable modern textbook devoted to the fundamentals of this active area of research, having many applications in mathematics and other disciplines. The book is clearly and carefully edited. The book is useful for graduate students, researchers and any person who loves matrix analysis." Mohammad Sal Moslehian, Mathematical Reviews, "With the additional material and exceedingly clear exposition, this book will remain the go-to book for graduate students and researchers alike in the area of linear algebra and matrix theory. I suspect there are few readers who will go through this book and not learn many new things. It is an invaluable reference for anyone working in this area." Anne Greenbaum, University of Washington for SIAM Review, "The book is well organized, completely readable, and very enlightening. For researchers in matrix analysis, matrix computations, applied linear algebra, or computational science, this second edition is a valuable book." Jesse L. Barlow, Computing Reviews, Review of the first edition: 'The reviewer strongly recommends that those working in either pure or applied linear algebra have this book on their desks.' SIAM Review, 'The book is well organized, completely readable, and very enlightening. For researchers in matrix analysis, matrix computations, applied linear algebra, or computational science, this second edition is a valuable book.' Jesse L. Barlow, Computing Reviews, "The second edition of Matrix Analysis by Horn and Johnson is a significant enhancement (featuring a large number of recent research results, new and illuminating approaches, a comprehensive summary of basic linear algebra and matrix theory, hints on some problems, and a highly detailed index) of the hugely successful and widely used first edition. It is a monumental contribution on the theory and applications of matrices. I had the honor of using some chapters of the draft of the second edition in my Advanced Matrix Analysis class at Georgia State University. I am certain that the second edition of Matrix Analysis will be the standard graduate textbook and an indispensable reference book on matrix theory for many years to come." Zhongshan Li, Georgia State University, Review of the first edition: '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
Table of Content
1. Eigenvalues, eigenvectors, and similarity; 2. Unitary similarity and unitary equivalence; 3. Canonical forms for similarity, and triangular factorizations; 4. Hermitian matrices, symmetric matrices, and congruences; 5. Norms for vectors and matrices; 6. Location and perturbation of eigenvalues; 7. Positive definite and semi-definite matrices; 8. Positive and nonnegative matrices; Appendix A. Complex numbers; Appendix B. Convex sets and functions; Appendix C. The fundamental theorem of algebra; Appendix D. Continuous dependence of the zeroes of a polynomial on its coefficients; Appendix E. Continuity, compactness, and Weierstrass' theorem; Appendix F. Canonical pairs.
Copyright Date
2012
Topic
Algebra / Abstract, Matrices
Lccn
2012-012300
Dewey Decimal
512.9/434
Intended Audience
Scholarly & Professional
Dewey Edition
23
Illustrated
Yes
Genre
Mathematics

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