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Gently used with light wear on the cover and corners. May have some writing or highlighting. Dust jacket or extras might be missing. May be ex-library copy. Ships direct from Amazon! Gently used with light wear on the cover and corners. May have some writing or highlighting. Dust jacket or extras might be missing. May be ex-library copy. Ships direct from Amazon! See less
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Matrix Computations (Johns Hopkins Studies in Mathematical Sciences)(3rd Edition) 3rd Edition

by Gene H. Golub (Author), Charles F. Van Loan (Author)
4.7 out of 5 stars (52)
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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.

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  1. ISBN-10
    0801854148
  2. ISBN-13
    978-0801854149
  3. Edition
    3rd
  4. Publisher
    Johns Hopkins University Press
  5. Publication date
    October 15, 1996
  6. Language
    English
  7. Dimensions
    6.13 x 1.29 x 9.25 inches
  8. Print length
    728 pages
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Matrix Computations (Johns Hopkins Studies in the Mathematical Sciences, 3)
Matrix Computations (Johns Hopkins Studies in the Mathematical Sciences, 3)
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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
  • Publication date ‏ : ‎ October 15, 1996
  • Edition ‏ : ‎ 3rd
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 728 pages
  • ISBN-10 ‏ : ‎ 0801854148
  • ISBN-13 ‏ : ‎ 978-0801854149
  • Item Weight ‏ : ‎ 2.25 pounds
  • Dimensions ‏ : ‎ 6.13 x 1.29 x 9.25 inches
  • Best Sellers Rank: #1,476,790 in Books (See Top 100 in Books)
  • Customer Reviews:
    4.7 out of 5 stars (52)

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  1. Gene H. Golub

    Gene H. Golub

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Customer reviews

4.7 out of 5 stars
52 global ratings

Customers say

Customers find the book to be a good manual for numerical analysis, with one customer noting it details all important numerical techniques of linear algebra. They appreciate its usefulness, with one mentioning it's practical enough for those working in the industry.
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11 customers mention content, 10 positive, 1 negative
Customers appreciate the book's content, describing it as a good manual for numerical analysis, with one customer noting it details all important numerical techniques of linear algebra.
If you are working with computational methods. Clear explanations and very efficient notation specially if you are a beginner on the subject.Read more
One of the most thorough and erudite books on numerical linear analysis available. The authors, Golub and Van Loan, are pioneers in matrix analysis....Read more
Good manual for numerical analysis but I wish it had more of a breakdown of the steps or examples which demonstrate the building blocks to get to...Read more
...Also while learning those algorithms, you get a great insight on eigenproblems, and linear algebra. One of my all time favorite academic books.Read more
3 customers mention use, 3 positive, 0 negative
Customers find the book useful, with one mentioning it is practical enough for those working in the industry.
This was delivered on time and has been very useful. It is a classic.Read more
...Rigorous enough for an academic yet practical enough for those working in the industry....Read more
Awesome classic. Full of useful/fun stuff, more than you can guess....Read more

Top reviews from the United States

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Translate all reviews to English
  • Pascal Pompey
    5.0 out of 5 stars Excellent reference book
    Reviewed in the United Kingdom on January 7, 2012
    Format: PaperbackVerified Purchase
    Excellent book covering extensively its topic. It covers extensively:
    - 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.
    Report
  • emew
    5.0 out of 5 stars DER moderne Klassiker der Matrizenrechnung
    Reviewed in Germany on December 27, 2007
    Format: PaperbackVerified Purchase
    Gene Golub und Charles van Loan zählen weltweit zu den renommiertesten
    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.
    Report
  • ZAck
    5.0 out of 5 stars Masterpiece, the origin of every matrix computation
    Reviewed in Canada on November 27, 2012
    Format: PaperbackVerified Purchase
    My course was suffering before I bought this book. I found it contains every algorithm, and why we use it,but also how we store the data. A great author,a great book
    Report
  • fem
    4.0 out of 5 stars 行列計算
    Reviewed in Japan on August 22, 2003
    Format: PaperbackVerified Purchase
    行列の(数値)計算について書かれた良書である．これから大掛かりな行列計算プログラムを作成しようとする人は，参考書(基本)として薦める．
    Report