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Curtis F. Gerald
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Curtis Franklin Gerald
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Applied Numerical Analysis: United States Edition Hardcover – 31 July 2003

by F. Gerald, Curtis (Author), O. Wheatley, Patrick (Author)
4.0 out of 5 stars 46
Edition: 7th
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The seventh edition of this classic text has retained the features that make it popular, while updating its treatment and inclusion of Computer Algebra Systems and Programming Languages.

Interesting and timely applications motivate and enhance students' understanding of methods and analysis of results. This text incorporates a balance of theory with techniques and applications, including optional theory-based sections in each chapter. The exercise sets include additional challenging problems and projects which show practical applications of the material. Also, sections which discuss the use of computer algebra systems such as Maple®, Mathematica®, and MATLAB®, facilitate the integration of technology in the course. Furthermore, the text incorporates programming material in both FORTRAN and C. The breadth of topics, such as partial differential equations, systems of nonlinear equations, and matrix algebra, provide comprehensive and flexible, coverage of all aspects of numerical analysis.

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  1. ISBN-10
    0321133048
  2. ISBN-13
    978-0321133045
  3. Edition
    7th
  4. Publisher
    A&S Academic Math
  5. Publication date
    31 July 2003
  6. Language
    English
  7. Dimensions
    19.69 x 2.54 x 23.5 cm
  8. Print length
    624 pages
  9. See all details
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Product details

  • Publisher ‏ : ‎ A&S Academic Math; 7th edition (31 July 2003)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 624 pages
  • ISBN-10 ‏ : ‎ 0321133048
  • ISBN-13 ‏ : ‎ 978-0321133045
  • Dimensions ‏ : ‎ 19.69 x 2.54 x 23.5 cm
  • Customer Reviews:
    4.0 out of 5 stars 46

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  1. Curtis F. Gerald

    Curtis F. Gerald

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Bhanu Marwaha
5.0 out of 5 stars Best book for NA
Reviewed in India on 17 September 2019
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One of the best book in market for Numerical Analysis
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reader
5.0 out of 5 stars ONE OF THE BEST BOOKS IN NUMERICAL ANALYSIS EVER PUBLISHED!
Reviewed in the United States on 18 October 2005
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This has been the best numerical analysis book that I have ever seen. The author does a brilliant job and explains concepts with extreme clarity. With this book, there isn't even any need of sitting in a professor's lecture. The book that my university uses sucks so bad, there's not 1 thing I could understand. Relying on that would have flunked me, yet that useless book costs over $100 and this remarkable book only cost me $20. It may be a 1994 edition, but even 2005 edition books on numerical analysis fail to meet its quality. Definitely a lifesaver for me.
4 people found this helpful
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Alexandros Arsalis
2.0 out of 5 stars Low quality printing
Reviewed in the United Kingdom on 27 April 2019
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Hard to read through.
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Sumit Kumar Singh
4.0 out of 5 stars Awesome!!
Reviewed in India on 14 October 2017
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Awesome!!!
Absolutely fantastic book. it deals with the concept in a very captivating way. it has large number of illustrations which would help in boosting your morale to solve vast quantity of problems in exercises. it would make you at home in numerical analysis.........
3 people found this helpful
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Peter Gasparovic
4.0 out of 5 stars poor print quality (7th ed.)
Reviewed in the United States on 22 April 2009
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My copy (7th ed, paperback, ISBN 0321133048, bought from amazon.com) is of poor newspaper-like print quality.

The book typography uses black color and three halftones (titles, ref. numbers, chart curves, captions, example boxes), but the halftones are printed only at 85 LPI. Some figure captions are barely readable - you see only coarse black/white screen.

It really upsets me that such flagrant manufactuing defects spoils the impression of otherwise good book.

The content of the book is exactly what I looked for. You can quickly grasp the essentials about solving the nonlinear and linear sets of equations. The book style is motivating and I was quickly able to reveal some false statements about numerical effectivity of algorithms. Navigation in the book is simple, but I would prefer more detailed contents in the beginning of the each chapter - some sections (e.g. LU decomposition) are neither in general contents nor in chapter's contents.

The part on optimization is too brief. There are better introductory level books on this subject.
3 people found this helpful
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