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A First Course in Numerical Methods (Computational Science and Engineering) Paperback – June 22, 2011

3 customer reviews
ISBN-13: 978-0898719970 ISBN-10: 0898719976

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A First Course in Numerical Methods (Computational Science and Engineering) + Number Theory: A Lively Introduction with Proofs, Applications, and Stories
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Editorial Reviews

Book Description

This textbook is designed for students and researchers who seek practical knowledge of modern techniques in scientific computing. Avoiding encyclopaedic and heavily theoretical exposition, the book provides an in-depth treatment of fundamental issues and methods, the reasons behind the success and failure of numerical software, and easy-to-follow approaches and techniques.

About the Author

Uri Ascher is a Professor of Computer Science at the University of British Columbia in Vancouver, Canada. He has previously co-authored three other books, published by SIAM, as well as many research papers in the general area of numerical methods and their applications. He is a SIAM Fellow and a recipient of the CAIMS Research Prize.

Chen Greif is an Associate Professor of Computer Science at the University of British Columbia in Vancouver, Canada. His research interests are in the field of scientific computing, with specialization in numerical linear algebra. He is currently an associate editor of the SIAM Journal on Scientific Computing.

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Product Details

  • Series: Computational Science and Engineering (Book 7)
  • Paperback: 574 pages
  • Publisher: Society for Industrial & Applied Mathematics (June 22, 2011)
  • Language: English
  • ISBN-10: 0898719976
  • ISBN-13: 978-0898719970
  • Product Dimensions: 6.8 x 1.2 x 9.7 inches
  • Shipping Weight: 2.2 pounds (View shipping rates and policies)
  • Average Customer Review: 2.3 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Best Sellers Rank: #118,787 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

Format: Paperback Verified Purchase
The book does a great job exposing you to the concepts and it has excellent recourses on the publisher's site. It is a bit difficult to grasp certain concepts since it doesn't go into too much detail (I had to reference another book a few times). If it would go more into detail on the more difficult concepts, it would get 5 stars.
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By Ahmad Hassan on October 18, 2014
Format: Paperback Verified Purchase
Difficult to follow
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0 of 7 people found the following review helpful By Zachary Wolfe on June 6, 2013
Format: Paperback Verified Purchase
I don't like this book but it was required for coursework. I would rather buy a more common Numerical Analysis book if I were to need it as a reference.
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