Free PDF Matrix Computations (Johns Hopkins Studies in the Mathematical Sciences)
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Matrix Computations (Johns Hopkins Studies in the Mathematical Sciences)
Free PDF Matrix Computations (Johns Hopkins Studies in the Mathematical Sciences)
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Review
"Problems, solutions, and discussions of the formulas, methods and literature surrounding matrix computations make for a reference that is specific and well detailed: perfect for any college-level math collection appealing to engineers." (Midwest Book Review)"Written for scientists and engineers, Matrix Computations provides comprehensive coverage of numerical linear algebra. Anyone whose work requires the solution to a matrix problem and an appreciation of mathematical properties will find this book to be an indispensable tool." (MathWorks)
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Review
"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)
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Product details
Series: Johns Hopkins Studies in the Mathematical Sciences (Book 3)
Hardcover: 784 pages
Publisher: Johns Hopkins University Press; fourth edition edition (February 15, 2013)
Language: English
ISBN-10: 1421407949
ISBN-13: 978-1421407944
Product Dimensions:
7 x 1.8 x 10 inches
Shipping Weight: 3.9 pounds (View shipping rates and policies)
Average Customer Review:
4.2 out of 5 stars
25 customer reviews
Amazon Best Sellers Rank:
#262,767 in Books (See Top 100 in Books)
Amazing book. You can find absolutely anything you want in it.But heads-up: it's not a good book if you don't know anything about what you are going to read. It should be a "support", but not the first book you read in this field.
Golub/Van Loan is not written in a very compelling style (very formal), but it is a great reference to understand how and why numerical matrix computation work. I've used it extensively for developing my own Singular Value Decomposition (SVD) routine, as well as routines for general eigenvalue problems. It's not great to use as a textbook for novices, but it is essential for use as a reference and as a teaching tool when doing anything related to numerical matrix computations. A good companion to this book is Trefethen/Bau 'Numerical Linear Algebra'.
This is an amazing resource for understanding the numerical problems associated with implementations of matrix algorithms. I use it regularly for writing source code for solving problems that require the concepts discussed in the book.
It is exactly what it says on the cover. A great piece of work. I have owned the 2nd & 3rd editions too, and this is a very helpful extension of the previous works.
good, as advertised
I have owned this book less than 1 day and the binding has broken apart. Completely unacceptable.The content of the text is fabulous and invaluable. It is infuriating that such an important work should be printed and bound so poorly. This text should survive years of library use, not fall apart after NOT EVEN ONE DAY!!!
Definitive reference for theoretical matrices with practical considerations on computational implementations. At $60, this is a bargain. Most books this thick are hundreds of dollars.
Great general book on Numerical Linear Algebra. Clear and very informative.
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