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Numerical Recipes in C++: The Art of Scientific Computing [Hardcover]

William H. Press , Saul A. Teukolsky , William T. Vetterling , Brian P. Flannery
5.0 out of 5 stars  See all reviews (1 customer review)

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Numerical Recipes 3rd Edition: The Art of Scientific Computing Numerical Recipes 3rd Edition: The Art of Scientific Computing 4.3 out of 5 stars (7)
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Book Description

7 Feb 2002
Now the acclaimed Second Edition of Numerical Recipes is available in the C++ object-oriented programming language. Including and updating the full mathematical and explanatory contents of Numerical Recipes in C, this new version incorporates completely new C++ versions of the more than 300 Numerical Recipes routines that are widely recognized as the most accessible and practical basis for scientific computing. 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. Highlights include 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. The authors' approach to C++ preserves the efficient execution that C users expect, while simultaneously employing a clear, object-oriented interface to the routines. Tricks and tips for scientific computing in C++ are liberally included. The routines, in ANSI/ISO C++ source code, can thus be used with almost any existing C++ vector/matrix class library, according to user preference. A simple class library for stand-alone use is also included in the book. Both scientific programmers new to C++, and experienced C++ programmers who need access to the Numerical Recipes routines, can benefit from this important new version of an invaluable, classic text.


Product details

  • Hardcover: 1032 pages
  • Publisher: Cambridge University Press; 2 edition (7 Feb 2002)
  • Language: English
  • ISBN-10: 0521750334
  • ISBN-13: 978-0521750332
  • Product Dimensions: 26 x 18.5 x 4.2 cm
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Bestsellers Rank: 960,565 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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Review

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

'… a 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.' Human Biology

'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

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

'… a first port of call for accessible software, Numerical Recipes is extrmely valuable … this volume is a welcome addition to the Numerical Recipes stable.' A. R. Harker, Contemporary Physics

'It performs a very valuable function in not only providing a correct method for a given problem, but in also helping the reader identify the most appropriate method for the task in hand … the C++ style used in the book is excellent … The book is beautifully produced, very clear, and easy to read … This is a book that every computer laboratory and every serious scientist should read.' Computing Reviews

Book Description

Now, the acclaimed Second Edition of Numerical Recipes is available in the C++ object-oriented programming language. Including and updating the full mathematical and explanatory contents of Numerical Recipes in C, this new version incorporates completely new C++ versions of the more than 300 Numerical Recipes routines that are widely recognized as the most accessible and practical basis for scientific computing.

Inside This Book (Learn More)
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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 as possible) elegant. Read the first page
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Most Helpful Customer Reviews
16 of 24 people found the following review helpful
5.0 out of 5 stars Seems just right 2 Dec 2002
Format:Hardcover
This is a very welcome new version of the Numerical recipes books. It does seem to do just the right things you would expect when translating the routines to C++, i.e. introduces matrix classes, including simple operators a.s.o. Also, I like that the default floating point type is now double (instead of float), and indices now running from 0 (instead of one).
I would definitely recommend this book.
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Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com: 2.5 out of 5 stars  27 reviews
77 of 80 people found the following review helpful
2.0 out of 5 stars Buy "Numerical Recipes in C" instead of this book! 8 July 2002
By John A Korejwa jr - Published on Amazon.com
Format:Hardcover
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!
42 of 43 people found the following review helpful
3.0 out of 5 stars C++ Edition Is Not ++ 6 Mar 2002
By A Customer - Published on Amazon.com
Format:Hardcover
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).
71 of 79 people found the following review helpful
5.0 out of 5 stars Very good book 3 Mar 2003
By Alen Lovrencic - Published on Amazon.com
Format:Hardcover
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!
32 of 34 people found the following review helpful
1.0 out of 5 stars Utterly useless 21 Mar 2002
By Amazon Customer - Published on Amazon.com
Format:Hardcover
The code in this edition in so-called C++ is just a copy-and-paste of the C edition code. All the functions have just been made members of ONE "NR" CLASS. The code presented brings none of the improvements that C++ could have brought. This turns this book into an ABSOLUTE [bad deal] as THE C EDITION IS AVAILABLE FOR FREE ... Once again, this would only be useful for the explaination of the algorithms since the code in the C edition is a rather inefficient transcription of Fortran into C.
41 of 46 people found the following review helpful
3.0 out of 5 stars This book was a good idea twenty years ago. 26 Mar 2003
By raoul-sam daruwala - Published on Amazon.com
Format:Hardcover
This book was a good idea 20 years ago. However, if you want to understand numerical algorithms then you're better off using the WWW to find the pages you want OR buying a real Numerical Methods text. (Amazon has them all!)
If you are a developer who just needs the recipe then these aren't the best algorithms to use. The Gnu Scientific Library is a much better place to start, the code is more modern.
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