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Most Helpful Customer Reviews
45 of 49 people found the following review helpful:
1.0 out of 5 stars
Very bad programs. Stay away. Buy the book instead.,
By A Customer
This review is from: Numerical Recipes Code CD-ROM with Windows or Macintosh Single Screen License CD-ROM: Includes Source Code for Numerical Recipes in C, Fortran 77, ... BASIC, Lisp and Modula 2 plus many extras (CD-ROM)
This is a disk with programs from the book Numerical Recipes. There are no comments in the code, help file is just an index of routines without any explanations. Routines are translations of Fortran code into C but authors did not make any effort to conform to standard C conventions. All the arrays start at 1 instead of 0 which makes the code useless the way it is written - user must modify it. No const attribute is ever used. And this is plain C so if you write a C++ code and hope for seeing exceptions or references, forget it. You are better off buying a book and writing routines you need based on the published code. It is really a shame that such a thing is sold (and tremendously overpriced). jstrompf@soil.nl in his review obviously meant the book and not the CD-ROM, his positive review is misplaced.
4 of 4 people found the following review helpful:
5.0 out of 5 stars
Rock Solid,
By A Customer
This review is from: Numerical Recipes Code CD-ROM with Windows or Macintosh Single Screen License CD-ROM: Includes Source Code for Numerical Recipes in C, Fortran 77, ... BASIC, Lisp and Modula 2 plus many extras (CD-ROM)
Get the book w/disk. If you're programming numerical routines in C, there's no better place to go. I've used the first edition of the book w/software for more than 10 years and I'll keep using this stuff till the end. Translating from C to C++ has been a very easy task these 10 years. The important thing is that these recipes are fast, intelligently done, and the book (which you should get) explains everything, including the appropriate choice of recipe for your problem. I've used at least 30 of the routines from these guys and they have all been rock solid. If I had a problem with any of them, it was because I messed with the routine, not because there was a problem with the supplied software. I have yet to run into a numerical issue that these guys do not have a great solution for.Anyone familiar with the book knows that using the book's dynamic memory allocation routines (provided in Appendix D in my edition of the book and included in the software) allows you to start arrays anywhere you like, 0,1, or 1001, it doesn't matter. These dynamic memory allocation routines also have other major advantages such as minimizing the needed memory for a large simulation by allowing you to easily create new arrays as you need them, discard others immediately when you are done with them, adjust the size of an array according to the need at a specific point in your program, etc. Their way of handling this is so convenient that I never have had a memory allocation need that it does not meet. But this is just one detail; the main thing is that their attention to detail is at this level throughout. I cannot imagining going to another reference. Get the book, read it as needed (you don't need to read a lot to solve a specific programming problem), and do numerical analysis with as much ease as there is to be had in C or C++ programming.
1 of 1 people found the following review helpful:
4.0 out of 5 stars
Excellent classic mathematics and programming text,
By R. Bagula "Roger L. Bagula" (Lakeside, Ca United States) - See all my reviews (VINE VOICE) (REAL NAME)
This review is from: Numerical Recipes: The Art of Scientific Computing (Hardcover)
Strange that I should get this book after I stopped using an old fashioned programming language and started using Mathematica.
There are still algorithms used in this text that haven't been "built-in" in Mathematica. Ten years ago I used texts much like this to program on a daily basis,so I know that although this is well written it still leaves a lot for the programmer to fill in. I even found some material I still need to learn like boundary value methods in differential equations. I enjoyed reading this text.
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