Numerical Recipes in C++: The Art of Scientific Computing (Hardcover)

by William H. Press (Editor), Saul A. Teukolsky (Editor), William T. Vetterling (Author), Brian P. Flannery (Author) "This book, like its sibling versions in other computer languages, is supposed to teach you methods of numerical computing that are practical, efficient, and (insofar..." (more)
Key Phrases: int isign, using namespace std, arrays datai, New York, Englewood Cliffs, Monte Carlo (more...)

Editorial Reviews

Review
"The book is beautifully produced, very clear, and easy to read. [one]...that every computer laboratory and every serious scientist should own." Computing Reviews

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

"This monumental and classic work is beautifully produced and of literary as well as mathematical quality. It is an essential component of any serious scientific or engineering library." Computing Reviews

"These books are a must for anyone doing scientific computing." Journal of the American Chemical Society

"...this book is a comprehensive text and reference work on scientific computing." Mechanical Engineering

"This encyclopedic book should be read (or at least owned) not only by those who must roll their own numerical methods, but by all who must use prepackaged programs." New Scientist

"Any technology company that doesn't have a few copies of this work and the accompanying diskettes is wasting the precious time of its best researchers." Forbes

"A product of a unique collaboration by leading scientists in academia and industry, this book is the second edition of a comprehensive text and reference work on scientific computing." Business Horizons

Product Description
The product of a unique collaboration among four leading scientists in academic research and industry, Numerical Recipes is a comprehensive text and reference work on scientific computing. Thoroughly self-contained, it proceeds from mathematical and theoretical considerations to actual, practical computer routines. This new version incorporates completely new C++ versions of the more than 300 Numerical Recipes Second Edition routines widely recognized as the most accessible and practical basis for scientific computing, in addition to including the full mathematical and explanatory contents of Numerical Recipes in C. Key Features:

Includes linear algebra, interpolation, special functions, random numbers, nonlinear sets of equations, optimization, eigensystems, Fourier methods and wavelets, statistical tests, ODEs and PDEs, integral equations, and inverse theory.

A wealth of tricks and tips for scientific computing in C++

The routines, in ANSI/ISO C++ source code, can be used with almost any existing C++ vector/matrix class library, according to user preference

Includes a simple class library for stand-alone use Other new Numerical Recipes products for your library...

Numerical Recipes Example Book [C++]

Numerical Recipes Code CDROM with Windows, DOS, or Macintosh Single Screen License--v2.10 including C++, Second Edition

Numerical Recipes Code CDROM with LINUX or UNIX Single Screen License v2.10 including C++, Second Edition

Numerical Recipes Code CDROM with Windows, DOS, or Macintosh Single Screen License

See all Editorial Reviews

Product Details

• Hardcover: 1002 pages
• Publisher: Cambridge University Press; 2 edition (February 2002)
• Language: English
• ISBN-10: 0521750334
• ISBN-13: 978-0521750332
• Product Dimensions: 10 x 7.1 x 1.6 inches
• Shipping Weight: 3.4 pounds
• Average Customer Review: 2.5 out of 5 stars See all reviews (26 customer reviews)
• Amazon.com Sales Rank: #306,774 in Books (See Bestsellers in Books)

  Popular in these categories: (What's this?)

  #67 in	Books > Science > Mathematics > Pure Mathematics > Discrete Mathematics
  #78 in	Books > Professional & Technical > Professional Science > Mathematics > Pure Mathematics > Discrete Mathematics

Customer Reviews

Most Helpful Customer Reviews

71 of 73 people found the following review helpful:

2.0 out of 5 stars Buy "Numerical Recipes in C" instead of this book!, July 7, 2002

By	John A Korejwa jr (Plympton, MA United States) - See all my reviews

If you are considering buying this book because it is newer than "Numerical Recipes in C", don't! Virtually all the algorithms presented use a totally unnecessary "NR" class, which only serves to distinguish the "C" from the "C++" version of the book, and adds a complexity which you and I can live without. This is clearly the result of a "publish or perish" policy.

"Numerical Recipes in C" has all the same powerfull algorithms presented in a much clearer and simpler way.

I purchased the "C++" version, and it was a mistake. At this point, I use the "C++" hardcopy for a refference only. I use the free online "C" version for code I can actually use.

Don't buy this book! Buy "Numerical Recipes in C" instead!

38 of 39 people found the following review helpful:

3.0 out of 5 stars C++ Edition Is Not ++, March 6, 2002

By A Customer

Virtually all code (with the exception of a rudimentary vector/matrix class library -- which, by the way, now features zero-based arrays, by popular demand) in the book is procedural, not object oriented. Thus, the title of the new edition is misleading, since the "++" features of C++ are not utilized.

On the other hand, this is *the* classical recipe book for numerical techniques for a wide variety of applications, and is a "must-have" for anybody looking for a good reference for numerical algorithms.

Bottom line: this edition will be just as useful as any of the other editions (C, Fortran, Pascal, etc) to a C++ programmer. If you are looking for numerical methods using object oriented programming, the only decent books to date are those by Daoqi Yang, and Barton & Nackmann (although the latter is a bit dated).

67 of 73 people found the following review helpful:

5.0 out of 5 stars Very good book, March 3, 2003

By	Alen Lovrencic (Varazdin, Croatia) - See all my reviews

This book is nice, and contains all standard methods of numerical amalysis and linear algebra.

But!

There is book called "Numerical Recipes in C" that is basicly the same book, and it could be find at cornell university web pages for free

So, DON'T BUY THE BOOK - you can find practically the same book for free at the web!