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Matrix Computations Paperback – Oct 15 1996
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'Praise for previous editions:' "A wealth of material, some old and classical, some new and still subject to debate. It will be a valuable reference source for workers in numerical linear algebra as well as a challenge to students."--'SIAM Review' "In purely academic terms the reader with an interest in matrix computations will find this book to be a mine of insight and information, and a provocation to thought; the annotated bibliographies are helpful to those wishing to explore further. One could not ask for more, and the book should be considered a resounding success."--'Bulletin of the Institute of Mathematics and its Applications'
About the Author
Gene H. Golub is professor of computer science at Stanford University. Charles F. Van Loan is professor of computer science at Cornell University.
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Top Customer Reviews
For each important algorithm discussed, the authors provide a concise and rigorous mathematical development followed by crystal clear pseudo-code. The pseudo-code has a Pascal-like syntax, but with embedded Matlab abbreviations that make common low-level matrix operations extremely easy to express. The authors also use indentation rather than tedious BEGIN-END notation, another convention that makes the pseudo-code crisp and easy to understand. I have found it quite easy to code up various algorithms from the pseudo-code descriptions given in this book. The authors cover most of the traditional topics such as Gaussian elimination, matrix factorizations (LU, QR, and SVD), eigenvalue problems (symmetric and unsymmetric), iterative methods, Lanczos method, othogonalization and least squares (both constrained and unconstrained), as well as basic linear algebra and error analysis.
I've use this book extensively during the past ten years. It's an invaluable resource for teaching numerical analysis (which invariably includes matrix computations), and for virtually any research that involves computational linear algebra. If you've got matrices, chances are you will appreciate having this book around.
superb book was released. Meanwhile, bunches of books
aiming a similiar audience were published. Some of them,
in particular G.W. Stewarts, are nowadays more seasonable.
Notably, the "iterative" sections ask for light
refreshments. The lack of references to appropriate
software routines in these parts is another disadvantage
which could be easily overcome in a new edition.
theoretical linear algebra to practical large-scale numerical
computations, using also LAPACK. I think this is its place:
from the university course level to the practical side.
On the other hand, one cannot really say it is as readable
as, say, Numerical Recipes: it has a quite terse style.
Most recent customer reviews
My course was suffering before I bought this book. I found it contains every algorithm, and why we use it,but also how we store the data. A great author,a great bookPublished on Nov. 27 2012 by ZAck
This is the book I turn to first when I have to deal with a problem in numerical linear algebra, it's clearly written and has extensive references.Published on Aug. 4 2003
When I need to solve a large system of linear equations or better understand an algorithm I am using, this book has proven to be the best place to go. Read morePublished on Nov. 24 1999 by Bukkene Bruse
The book is good, but it could have more useful examples and a less complicated text.Published on Nov. 2 1999 by Marcus
Presents an extremely thorough and clear study of one of the most important branches of Applied MathematicsPublished on Oct. 26 1999
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