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Numerical Recipes in C: The Art of Scientific Computing

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Click here to buy Numerical Recipes in C: The Art of Scientific Computing by  William H. Press, Brian P. Flannery, Saul A. Teukolsky, and William T. Vetterling. Numerical Recipes in C: The Art of Scientific Computing
by William H. Press, Brian P. Flannery, Saul A. Teukolsky, and William T. Vetterling
Sales Rank: 240746
0.0 out of 5 stars
$40.00
At Amazon
on 9-27-2008.
Buy Numerical Recipes in C: The Art of Scientific Computing now! Get Info on Numerical Recipes in C: The Art of Scientific Computing
Features
  • Cover Type: Hard Cover with 994 pages
  • Published by: Cambridge University Press
  • Edition: 2nd Edition October 30, 1992
  • Written in: English
  • ISBN 10 Number: 0521431085
  • ISBN 13 Number: 978-0521431088
  • Book Dimensions: 10 x 7.2 x 2 inches
  • Weighs: 3.8 pounds

Product Review
"an instant `classic,' a book that should be purchased and read by anyone who uses numerical methods" American Journal of Physics

"No matter what language you program in, these packages are classics, both as a textbook or reference. They are an essential and valuable addition to the academic, professional, or personal library." Internet

"The new book exceeds, if possible, the excellence of its predecessor: it is about 50 percent longer and has been thoroughly updatedThe bibliographical material has been considerably extended and updatedFor new users, it is sufficient to say that practically every aspect of numerical analysis is coveredThis monumental and classic work is gorgeously produced and of literary as well as mathematical quality. It is an essential component of any serious scientific or engineering library." A. D. Booth, Computing Reviews

"If you already have the first edition, will you want or need the second? The answer is a definitive yesa book that should be on your desk (not your shelf) if you have any interest in the analysis of data or the formulation of models." Lyle W. Konigsberg, Human Biology

"the second [edition] expands the scope of coverage and continues the standard of excellence achieved in the first. If you were to have only a single book on numerical methods, this is the one I would recommend." Edmund Miller, IEEE Computational Science & Engineering

"remarkably completeit contains many more routines than many commercial mathematics packages" Byte

"The authors are to be congratulated for providing the scientific community with a valuable resource." The Scientist

"replete with the standard spectrum of mathematically pretreated and coded/numerical routines for linear equations, matrices and arrays, curves, splines, polynomials, functions, roots, series, integrals, eigenvectors, FFT and other transforms, distributions, statistics, and on to ODE's and PDE'ssuch an educationis delightful" Physics in Canada

Product Description
The product of a unique collaboration among four leading scientists in academic research and industry, Numerical Recipes is a complete text and reference book on scientific computing. In a self-contained manner it proceeds from mathematical and theoretical considerations to actual practical computer routines. With over 100 new routines bringing the total to well over 300, plus upgraded versions of the original routines, the new edition remains the most practical, comprehensive handbook of scientific computing available today.

Reader Reviews
Numerical Recipes is the perfect book for a programmer who took the required math classes and has since forgotten much of the material. Here you will encounter brief, theoretical discussions about how to solve common numerical problems, followed by implementations in C, and finished off with a few suggestions for further reading. I've actually found the explanations about how to solve problems more useful than the code they provide. Their C coding style seems to harken back to FORTRAN days. I've also translated from C to MatLab and IDL in some instances (on one occasion, translating the MatLab routine back to C a few years later!) Elsewhere on the net, mathematical critiques can be found. If you're trying to solve a critical problem, hunt these down. It bothered me to find vectors referenced from 1 to n as opposed to 0 to n-1, the way I'm used to seeing them in C code. But, for practical use, this book is difficult to beat. It makes, at the very least, a great starting point, especially for those of us who last took a math class 18 years ago and find the details foggy. Kind of like The Joy of Cooking. A good, basic reference to keep around, but not the final word on gourmet programming.


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