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Matrix Computations (Johns Hopkins Studies in Mathematical Sciences)(3rd Edition) 3rd Edition
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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.
- ISBN-100801854148
- ISBN-13978-0801854149
- Edition3rd
- PublisherJohns Hopkins University Press
- Publication dateOctober 15, 1996
- LanguageEnglish
- Dimensions6.13 x 1.29 x 9.25 inches
- Print length728 pages
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Editorial Reviews
Review
A wealth of material, some old and classical, some new and still subject to debate. It will be a valuable reference source for workers in numerical linear algebra as well as a challenge to students.
(SIAM Review)In purely academic terms the reader with an interest in matrix computations will find this book to be 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)The authors have rewritten and clarified many of the proofs and derivations from the first edition. They have also added new topics such as Arnoldi iteration, domain decomposition methods, and hyperbolic downdating. Clearly the second edition is an invaluable reference book that should be in every university library. With the new proofs and derivations, it should remain the text of choice for graduate courses in matrix computations
(Image: Bulletin of the International Linear Algebra Society)About the Author
Gene H. Golub is professor of computer science at Stanford University. Charles F. Van Loan is professor of computer science at Cornell University.
Product details
- Publisher : Johns Hopkins University Press; 3rd edition (October 15, 1996)
- Language : English
- Paperback : 728 pages
- ISBN-10 : 0801854148
- ISBN-13 : 978-0801854149
- Item Weight : 2.2 pounds
- Dimensions : 6.13 x 1.29 x 9.25 inches
- Best Sellers Rank: #933,672 in Books (See Top 100 in Books)
- #48 in Mathematical Matrices
- #221 in Linear Algebra (Books)
- #3,095 in Applied Mathematics (Books)
- Customer Reviews:
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Top reviews from the United States
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My first copy has been worn out. This review was triggered when a replacement copy was ordered.
Thanks,
Somnath
Top reviews from other countries
- an excellent description of the linear algebra theory with all key theorem, their intuitive interpretation and short but complete demonstration
- the algorithmic aspects of matrix computations each proposed algorithm being evaluated with regard to computational complexity, numerical stability and parallel processing
- reference to the functions implementing the described algorithms within LAPACK (the standard library for advanced matrix computations in Fortran and C)
A must have for anybody often using linear algebra on computer systems.
Experten auf dem in diesem Buch behandelten Gebiet. Es ist das wohl
umfassendste Referenz-Werk zum Thema Matrizen-Algorithmen. Nicht
etwa ein Lehrbuch der Linearen Algebra, sondern ein numerisch orientiertes
Werk, behandelt es sowohl die theoretischen Hintergründe - meist mit
eleganten kurzen Beweisen - der diskutierten Algorithmen als auch
praktische Aspekte wie Rundungsfehler und Kondition. Für ernsthaft auf dem
Gebiet der numerischen linearen Algebra Arbeitende ist der Golub/van Loan
eine unverzichtbare Informationsquelle, die ältere Klassiker wie
Gantmacher und Faddejew/Faddejewa durch die Fülle neuerer Resultate,
Algorithmen und Literaturhinweise ganz wesentlich ergänzt.

