Matrix Computations

"An invaluable reference book that should be in every university library." -- Image: Bulletin of the International Linear Algebra Society

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Provides the vital mathematical background and algorithmic skills required for the production of numerical software. Chapters on high performance computing utilize matrix multiplication to illustrate how to organize a calculation for vector processors as well as for computers with shared or distributed memories. Also, discusses parallel vector methods for linear equations, least squares, and eigenvalue problems. Paper edition ($29.95) not seen by SciTech. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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