SIAM Homepage | Search Catalog | New Books | Author Index | Series Index | Title Index | View My Shopping Cart

The catalog and shopping cart are hosted for SIAM by EasyCart. Your transaction is secure. If you have any questions about your order, contact

Purchase Now!

Matrix Computations, Fourth Edition Click on picture to view full-size image Matrix Computations, Fourth Edition

Gene H. Golub and Charles F. Van Loan

Johns Hopkins University Press 01

"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, reviewing a previous edition

A comprehensive treatment of numerical linear algebra from the standpoint of both theory and practice.

The fourth edition of Gene H. Golub and Charles F. Van Loan's classic is an essential reference for computational scientists and engineers in addition to researchers in the numerical linear algebra community. Anyone whose work requires the solution to a matrix problem and an appreciation of its mathematical properties will find this text useful and engaging.

This revision is a cover-to-cover expansion and renovation of the third edition. It now includes an introduction to tensor computations and brand new sections on
• fast transforms
• parallel LU
• discrete Poisson solvers
• pseudospectra
• structured linear equation problems
• structured eigenvalue problems
• large-scale SVD methods
• polynomial eigenvalue problems

Matrix Computations is packed with challenging problems, insightful derivations, and pointers to the literature—everything needed to become a matrix-savvy developer of numerical methods and software.

Now in its fourth edition, Golub and Van Loan’s widely recognized classic should be a welcome text for anyone working on problems related to computer science or mathematics.

SIREV Book Review

About the Authors
Gene H. Golub (1932–2007) was a professor emeritus and former director of scientific computing and computational mathematics at Stanford University.

Charles F. Van Loan is a professor of computer science at Cornell University, where he is the Joseph C. Ford Professor of Engineering.

Global References;
Other Books;
Useful URLs;
Common Notation;
1: Matrix Multiplication;
2: Matrix Analysis;
3: General Linear Systems;
4: Special Linear Systems;
5: Orthogonalization and Least Squares;
6: Modified Least Squares Problems and Methods;
7: Unsymmetric Eigenvalue Problems;
8: Symmetric Eigenvalue Problems;
9: Functions of Matrices;
10: Large Sparse Eigenvalue Problems;
11: Large Sparse Linear System Problems;
12: Special Topics;

To request an examination copy or desk copy of this book, please use our online request form at

2013 / xxi + 756 pages / Hardcover / ISBN 978-1-4214-0794-4
List Price $70.00 / SIAM Member Price $49.00 / Order Code JH01
Quantity desired

Search our catalog for:

Shopping cart provided by:
Select quantity and list or member price and then click the "Click to Order" button to add books to your shopping cart.
Banner art adapted from a figure by Hinke M. Osinga and Bernd Krauskopf (University of Auckland, NZ.)