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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 book to be an indispensible tool. 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. The second most cited math book of 2012 according to MathSciNet, the book has placed in the top 10 for since 2005.
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A comprehensive treatment of numerical linear algebra from the standpoint of both theory and practice. The second most cited math book of 2012 according to MathSciNet, Matrix Computations has placed in the top 10 for since 2005.

About the Author

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.

Reviews

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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