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Matrix Computations 3RD Edition

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Matrix Computations 3RD Edition Cover

 

Synopses & Reviews

Publisher Comments:

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

Synopsis:

Revised and updated, the third edition of Golub and Van Loan's classic text in computer science provides essential information about the mathematical background and algorithmic skills required for the production of numerical software. This new edition includes thoroughly revised chapters on matrix multiplication problems and parallel matrix computations, expanded treatment of CS decomposition, an updated overview of floating point arithmetic, a more accurate rendition of the modified Gram-Schmidt process, and new material devoted to GMRES, QMR, and other methods designed to handle the sparse unsymmetric linear system problem.

Description:

Includes bibliographical references (p. 637-686) and index.

Product Details

ISBN:
9780801854149
With:
Van Loan, Charles F.
Author:
Van Loan, Charles F.
Author:
Golub, Gene H.
Author:
Golub
Author:
Van Loan, Charles F.
Publisher:
Johns Hopkins University Press
Location:
Baltimore :
Subject:
Applied
Subject:
Data processing
Subject:
Advanced
Subject:
Matrices
Subject:
Matrices -- Data processing.
Subject:
Mathematics-Linear Algebra
Edition Number:
3
Edition Description:
Third Edition, Hardcover
Series:
Johns Hopkins Studies in the Mathematical Sciences (Hardcover)
Series Volume:
no. 807
Publication Date:
19961031
Binding:
TRADE PAPER
Language:
English
Illustrations:
Yes
Pages:
728
Dimensions:
9.11x6.04x1.34 in. 2.22 lbs.

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Science and Mathematics » Mathematics » Algebra » Linear Algebra
Science and Mathematics » Mathematics » Applied

Matrix Computations 3RD Edition
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Product details 728 pages Johns Hopkins University Press - English 9780801854149 Reviews:
"Synopsis" by , Revised and updated, the third edition of Golub and Van Loan's classic text in computer science provides essential information about the mathematical background and algorithmic skills required for the production of numerical software. This new edition includes thoroughly revised chapters on matrix multiplication problems and parallel matrix computations, expanded treatment of CS decomposition, an updated overview of floating point arithmetic, a more accurate rendition of the modified Gram-Schmidt process, and new material devoted to GMRES, QMR, and other methods designed to handle the sparse unsymmetric linear system problem.
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