A First Course in Numerical Analysis: Second Edition | 
| Authors: Anthony Ralston, Philip Rabinowitz Publisher: Dover Publications Category: Book
List Price: $24.95 Buy New: $16.95 You Save: $8.00 (32%)
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Avg. Customer Rating: 5 reviews Sales Rank: 140644
Media: Paperback Edition: 2 Revised Number Of Items: 1 Pages: 624 Shipping Weight (lbs): 1.4 Dimensions (in): 8.2 x 5.4 x 1.3
ISBN: 048641454X Dewey Decimal Number: 519.4 EAN: 9780486414546 ASIN: 048641454X
Publication Date: February 6, 2001 Availability: Usually ships in 1-2 business days Shipping: International shipping available Condition: Absolutely Brand New & In Stock. 100% 30-Day Money Back. Direct from our warehouse. Ships by USPS. 1+ million customers served-In business since 1986. Happy Customers is Our #1 Goal. Toll Free Support
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| Editorial Reviews:
Product Description Outstanding text treats numerical analysis with mathematical rigor, but relatively few theorems and proofs. Oriented toward computer solutions of problems, it stresses errors in methods and computational efficiency. Problems—some strictly mathematical, others requiring a computer—appear at the end of each chapter.
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| Customer Reviews:
5 Stars for undergrads September 13, 2005 3 out of 11 found this review helpful
If you are looking in to 3d Nurbs buy this book. If you are looking to build a robot from scratch buy this book. It may mean taking calculus and linear algebra but the algorithms are very advanced and quick. This is the math that every corporation would like you to have if you are an engineer. Plus it helps you understand many of the mathematicians. After reading this book you have excellent under pinning for your name.
P.S. This may be good for white hatter as well but I don't know since I am not into cryptography.
P.P.S. Did you always think that Sin() was a magical function? Well you will learn more than you every thought possible with this book. The optimization on you code can go through the roof. Plus this seems to be (but I still have not confirmed) a good way of understanding O notation and not to mention NP complete algorithms (Such what classifies a NP Complete problem).
Archaic First Course in Numerical Analysis February 11, 2005 3 out of 10 found this review helpful
A constant in numerical analysis for years the second edition has not kept pace with the way mathematics is contemporarily taught to engineers and scientists. The book appears to assume an older format of learning mathematics was used by the reader. The reader will soon be seeking additional texts to make this one understandable.
A classic and a bargain at that July 10, 2001 4 out of 10 found this review helpful
I lost my original copy during my last move. Therefore, I was overjoyed that an inexpensive paperback version had been printed. A must for the numerical analyst's library.
good intermediate text on numerical analysis June 7, 2001 14 out of 15 found this review helpful
This is a good intermediate text on numerical analysis. The development of the underlying real variable theory is much more rigorous than the closely related and more recent text "Numerical Recipes in C". Also, there is more attention paid to function theoretic considerations such as notions of continuity and compactness. This is basically an introductory numerical functional analysis textbook. There are numerous good examples sprinkled throughout the text. To get the most out of this book, you need a working knowledge of advanced calculus, real analysis and linear algebra.
Simply the best you can get (at this price) May 31, 2001 9 out of 12 found this review helpful
This is the republication of the 2nd edition published by McGraw-Hill, 1978, with minor corrections. This Dover edition also includes 50 pages of Hints and Answers to Problems, which is very helpful. It is one of the 14 reference books listed in the Numerical Recipe in C: The Art of Scientific Computing, and the authors of the Recipe book says, of the 14 books, "These are the books that we like to have within easy reach." A. Ralston, of SUNY Buffalo, also co-wrote a book, Discrete Algorithmic Mathematics(DAM), which is easy and fun to read. But I am puzzled by the words - "Well-known and highly regarded even by those who have never used it." - on the back cover of the A K Peters edition of DAM. What do they mean?
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