Ebook Numerical Analysis
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Numerical Analysis
Ebook Numerical Analysis
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About the Author
Richard L. Burden is Emeritus Professor of Mathematics at Youngstown State University. His master's degree in mathematics and doctoral degree in mathematics, with a specialization in numerical analysis, were both awarded by Case Western Reserve University. He also earned a masters degree in computer science from the University of Pittsburgh. His mathematical interests include numerical analysis, numerical linear algebra, and mathematical statistics. Dr. Burden has been named a distinguished professor for teaching and service three times at Youngstown State University. He was also named a distinguished chair as the chair of the Department of Mathematical and Computer Sciences. He wrote the Actuarial Examinations in Numerical Analysis from 1990 until 1999.
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Product details
Hardcover: 912 pages
Publisher: Cengage Learning; 10 edition (January 1, 2015)
Language: English
ISBN-10: 1305253663
ISBN-13: 978-1305253667
Product Dimensions:
8 x 1.5 x 10 inches
Shipping Weight: 3.8 pounds (View shipping rates and policies)
Average Customer Review:
3.9 out of 5 stars
10 customer reviews
Amazon Best Sellers Rank:
#131,221 in Books (See Top 100 in Books)
Tons of errors, theorems and definitions don't always define variables, leaving you hunting through verbose derivations to find them.
Thank you.
It is new and it is cheap so 5/5 !!!
Excellent book so far. I have had this for 14 hours. One of my already owned Numerical Analysis books has a 1985 copyright. This one by Burden already far exceeds the 1985 effort. I find complete mathematical explanations inside this tenth edition. As I continue to use this book in my professional role, I will have more to write about I am sure. One thing that is an excellent help is the inside cover of the book is a listing of the Algorithms by name, then the section and page number to see the details. I agree with other reviewers that the less than five star ratings are from people who are not expecting to use math in Numerical Analysis. The cold hard reality is that math knowledge is highly important in the Numerical Analysis area of Computer Science and Software Engineering. I already predict heavy use in the next few months both professionally and personal projects.
My favorite introductory text.
excllent!
The book is nice, and it looks much better like new.
Good but not great. Contained quite a few errors in computations, etc, that derailed a couple examples into wrong answers (replacing 2 with sqrt(2), etc, not sure how that doesn't become immediately obvious). Really verbose where it doesn't need to be; it strikes me as a textbook where the author was paid based on how many words they use.I like the layout of the book though, and in true numerical analysis style it includes a good bit of help for the computational side; Maple code, algorithm descriptions, etc. The content is standard -- but ultimately I'd recommend to find another (Atkinson, maybe).
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