Rating: 
Summary: Buy "Numerical Recipes in C" instead of this book!
Review: 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!
Rating:
Summary: Buy "Numerical Recipes in C" instead of this book!
Review: 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!
Rating: 
Summary: code in CD is not well written with a massive class for the
Review: The book is not much more useful than previous editions for Fortran and C in 1986 edition. The C++ code is written under a common class defination "nr.h" for the whole book, which is a very bad idea. The "nr.h" is massive, hard to examine any attributes, hard to be portable and visualize the code for each method. It is very bad idea!! It appears that the authors are trying to tie-up user to buy book and CD all together. The authors did not think for people to use it conveniently. It is not worth to buy the book and the CD. The code is not useful and you have to re-write them. If the Authors write the C++ code in such a manner that each method is self-contained, portable, easy to understand and use, it would be a different book and useful.
Rating:
Summary: Utterly useless
Review: 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 RIP-OFF...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.
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Summary: c++ ?? i think not. . .
Review: the text and the code seem virtually unchanged from the earlier c version. this doesn't warrant a 'new' edition label. however, since one doesn't buy nr for the code this seems like a poor reason to give it a bad review. on the other hand, the few recent references in this text are simply new editions of books mentioned in the older c version (i.e. new edition of sedgewick is cited rather than the older one.) contrast this with the matrix chapter of the 2nd edition of intro to algorithms by cormen, leiserson, and rivest cites new results from the 90s. i give this book 3 stars since there isn't anything else that puts so much useful information in one place. if there was a decent alternative, it would be lucky to get 1.
Rating: 
Summary: Very good book
Review: 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!
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Summary: The authority on numerical computation
Review: This book is the ultimate * practical * guide to numerical algorithms. The code could be better, but it is a large improvement over the C version. The book is full of advice.
Dollar for dollar, the library cant be beat especially because you can look at it unlike commercial products like Imsl or NAG. You could use the software for real applications but for 'production' quality numerical libraries stick to Imsl or Nag and study the book.
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Summary: This book was a good idea twenty years ago.
Review: 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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Summary: C++ Edition Is Not ++
Review: 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).
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