- Gebundene Ausgabe: 1020 Seiten
- Verlag: Cambridge University Press; Auflage: 2. (30. Oktober 1992)
- Sprache: Englisch
- ISBN-10: 0521431085
- ISBN-13: 978-0521431088
- Größe und/oder Gewicht: 17 x 4,4 x 25,2 cm
- Durchschnittliche Kundenbewertung: 20 Kundenrezensionen
- Amazon Bestseller-Rang: Nr. 213.781 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
- Komplettes Inhaltsverzeichnis ansehen
Numerical Recipes in C book set: Numerical recipes in C. The art of scientific computing (Englisch) Gebundenes Buch – 30. Oktober 1992
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'If you are a programmer you need it. If you have someone to write programs for you, buy it as a birthday present.' Spectroscopy Europe
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This is the revised and expanded second edition of the hugely popular Numerical Recipes: the Art of 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.Alle Produktbeschreibungen
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Second, the code IS ANSI-C compliant, which is stated quite clearly in the book. The fact that it is different for different platforms probably (I'm guessing) has to do with the unwrapping program used to navigate through the source files. The Windows browsing file mentioned above is really just a clever application of the standard Windows ".hlp" file format. Obviously, you can't use that on Mac or UNIX. I saw yet another way to do it on DOS platforms with the first edition diskettes. There is no reason to suspect that the actual code is not IDENTICAL on all platforms, except, of course, that each platform defines a newline differently. That said, it is a clear violation of the user license to be porting the code between platforms.
Now, if anyone cares about my opinion of the book... I am not a numerical analyst by trade. I'm just an engineer who finds myself doing numerical analysis sometimes. If this description fits you, or you are a graduate student doing engineering/physics (especially experimental work) that sometimes requires numerical analysis, then this may be the only book you need. It is DEFINITELY the first book you should BUY. Yes, you get all the source code in the book and that's great. But, you get an outstanding introduction, all in one place, to techniques of numerical analysis for all different kinds of applications. It is not a text book, so you don't have to waste the first three chapters proving a bunch of junk about converging series and Rolle's theorem and blah blah blah. (Blah blah blah gives you insight, no doubt. Far be it from me to trash the academic approach. I'm just sayin' that sometimes people in the real world have deadlines with large sums of money at stake and they have to take their best shot with or without the right background.)
I signed up for, and promptly dropped, a numerical analysis course on three different occasions during my graduate career. It was just too boring. This book is fun, and usually gives me enough background to get going on a problem. (I'm sure numerical purists think it's incomplete; but, the authors are usually careful to tell you when they're giving you the "lite" version of some derivation. In those cases, they give you plenty of references.)
I'm not a geek (at least I hope not), but I do find myself reading this book from time to time late at night just for the heck of it. My copy is well-worn and falling apart.
Yes, some of the code is hard to follow, and sometimes it looks like they're making it that way just to be fancy. A couple of spaces here and there wouldn't hurt, and just because C lets you write stuff that can't be read by other people doesn't mean you have do it that way. And, yes, even though my one programming course was FORTRAN 77, I don't care at all for arrays that start at 1 in a language that fundamentally doesn't want to do it that way (even though it can). But, the authors give you a way around this (for 1D arrays, anyway...still waiting for a way to do it for 2D arrays.) It is not a big deal for many of the routines to just convert them to the zero-based assumption. I've there is definitely a productivity argument to be made (not just typing, but debugging). It's really not a big deal to type the code in (as I did for several years) IF you are careful, so you have to decide for yourself if you want to spend your OWN money on the source code.
I find myself disappointed with the software on the disk you purchase separately. What I was expecting/hoping was ASCII files with the source code so that I wouldn't have to type it in myself from the book; however, it is in Windows DLL format. This is not very useful if you'd like to use the code on different platforms. One puzzling thing is that the Windows disk is about $35, while they offer an on-line download Unix version for $50 ($150 for the multi-user license). I don't understand why there would be differences between the two unless the NR software is not ANSI-C compliant. If this is the case, then I'd consider the software useless.
Recommendation: Buy the book as a reference. Use different software.
Optimization is not a feature of the NR routines, so for anything amounting to serious volumes of data, duct tape is needed. But for a good basic collection of applications and for someone like me who does better starting with something rather than nothing (or can never remember the formula for something) the routines are a Godsend, and the explanations in the book are invaluable.
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