'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'
Gene H. Golub is professor of computer science at Stanford University. Charles F. Van Loan is professor of computer science at Cornell University.
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