Matrix Computations (Johns Hopkins Series in the Mathematical Sciences)

Rating:
Summary: from theory to practice.
Review: A few years ago this book permitted me to go reliably from
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.

Rating:
Summary: from theory to practice.
Review: A few years ago this book permitted me to go reliably from
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.

Rating:
Summary: Excellent book!
Review: Great book on the computational aspects of matrix computations. Has much more detail than NRiC for matrix computations -- of course, NRiC covers more topics. One the few places you can actually find out how to code SVD. A steal at $30. Highly recommended!

Rating:
Summary: not so good
Review: I just cannot imagine how could someone come up with something so difficult. I have seen my roommate labor over it and that was enough to keep me off the this book.

Rating:
Summary: A great reference book for doing numerical analysis.
Review: I recently bought this book and am amazed at how detailed the information is presented. This a great book for anyone doing numerical analysis on the computer. The details on how to work around ill-conditioned matrices is great.

Rating:
Summary: Still state of the art?
Review: It is now 6 years ago when the last version of this once
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.

Rating:
Summary: Still state of the art?
Review: Once you have a grounding in matrix analysis and linear algebra this book makes a good reference. His explanations tend to be terse (even exceptionally so)- more suited for reminding someone who already knows how the algorithm works or was derived and simply can't remember the details. It lost a star as I've found some annoying typos (for example, in the pseudocode for the GMRES algorithm).

Rating:
Summary: Not an introductory text!
Review: Once you have a grounding in matrix analysis and linear algebra this book makes a good reference. His explanations tend to be terse (even exceptionally so)- more suited for reminding someone who already knows how the algorithm works or was derived and simply can't remember the details. It lost a star as I've found some annoying typos (for example, in the pseudocode for the GMRES algorithm).

Rating:
Summary: A Bible of Numerical Linear Algebra
Review: Presents an extremely thorough and clear study of one of the most important branches of Applied Mathematics

Rating:
Summary: Simple things explained in a too formal way
Review: The book is good, but it could have more useful examples and a less complicated text.