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Numerical Recipes 3rd Edition: The Art of Scientific Computing [Englisch] [Gebundene Ausgabe]

William H. Press , Saul A. Teukolsky , William T. Vetterling , Brian P. Flannery
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Kurzbeschreibung

6. September 2007
Do you want easy access to the latest methods in scientific computing? This greatly expanded third edition of Numerical Recipes has it, with wider coverage than ever before, many new, expanded and updated sections, and two completely new chapters. The executable C++ code, now printed in colour for easy reading, adopts an object-oriented style particularly suited to scientific applications. Co-authored by four leading scientists from academia and industry, Numerical Recipes starts with basic mathematics and computer science and proceeds to complete, working routines. The whole book is presented in the informal, easy-to-read style that made earlier editions so popular. Highlights of the new material include: a new chapter on classification and inference, Gaussian mixture models, HMMs, hierarchical clustering, and SVMs; a new chapter on computational geometry, covering KD trees, quad- and octrees, Delaunay triangulation, and algorithms for lines, polygons, triangles, and spheres; interior point methods for linear programming; MCMC; an expanded treatment of ODEs with completely new routines; and many new statistical distributions. For support, or to subscribe to an online version, please visit www.nr.com.

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Numerical Recipes 3rd Edition: The Art of Scientific Computing + Numerical Recipes Source Code CD-ROM: The Art of Scientific Computing + Numerical Methods for Scientists and Engineers (Dover Books on Mathematics)
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Produktinformation

  • Gebundene Ausgabe: 1256 Seiten
  • Verlag: Cambridge University Press; Auflage: 3 (6. September 2007)
  • Sprache: Englisch
  • ISBN-10: 0521880688
  • ISBN-13: 978-0521880688
  • Größe und/oder Gewicht: 26,1 x 19 x 4,3 cm
  • Durchschnittliche Kundenbewertung: 5.0 von 5 Sternen  Alle Rezensionen anzeigen (4 Kundenrezensionen)
  • Amazon Bestseller-Rang: Nr. 55.257 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
  • Komplettes Inhaltsverzeichnis ansehen

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Produktbeschreibungen

Pressestimmen

'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

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

'… replete with the standard spectrum of mathematically pretreated and coded/numerical routines for linear equations, matrices and arrays, curves, splines, polynomials, functions, roots, series, integrals, eigenvectors, FFT and other transforms, distributions, statistics, and on to ODE's and PDE's … delightful.' Physics in Canada

'… if you were to have only a single book on numerical methods, this is the one I would recommend.' EEE Computational Science & 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

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

'The authors are to be congratulated for providing the scientific community with a valuable resource.' The Scientist

'I think this is an incredibly valuable book for both learning and reference and I recommend it for any scientists or student in a numerate discipline who need to understand and/or program numerical algorithms.' International Association for Pattern Recognition

'The attractive style of the text and the availability of the codes ensured the popularity of the previous editions and also recommended this recent volume to different categories of readers, more or less experienced in numerical computation.' Octavian Pastravanu, Zentralblatt MATH

Über das Produkt

The third edition of Numerical Recipes has wider coverage than ever before. New chapters cover classification and inference and computational geometry; new sections include MCMC, interior point methods, and an updated, expanded treatment of ODEs, all with completely new routines in C++. For more information, or to buy the book, visit www.cambridge.org/numericalrecipes. For support, or to subscribe to an online version, please visit www.nr.com.

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8 von 8 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Das Standardwerk 10. Januar 2011
Von Sebastian
Format:Gebundene Ausgabe
Wer in den theoretischen Naturwissenschaften oder Ingenieurswissenschaften beschlagen ist, wird die Numerical Recipes wohl kennen. Das wohl umfassendste Standardwerk zum Thema Scientific Computing umfasst eine Einführung sowohl in die mathematischen Grundlagen als auch deren Implementierung in C++. Weit mehr als eine dokumentierte Quellcodesammlung, hat dieses Werk eher Lehrbuchcharakter, denn der Anspruch ist hier, Algorithmen und ihre Implementierung en detail zu verstehen. In der dritten Auflage kommen eine ganze Reihe hochinteressanter Techniken hinzu, wie z.B. phylogenetic trees, hidden Markov modelling, Delaunay triangulation, ein deutlich erweitertes und aktualisiertes Kapitel über die Integration gewöhnlicher Differentialgleichungen usw. Eine klare Kaufempfehlung und ein absolutes Muss für jeden, der sich ernsthaft mit Scientific Computing auseinandersetzen will!
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4 von 5 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Ein sehr schönes Buch, gemacht für Praktiker. 19. Dezember 2009
Format:Gebundene Ausgabe
Ein sehr schönes Buch, gemacht für Praktiker. Übersichtlich. Nicht zuviel und nicht zuwenig Hintergrundwissen. Viel Beispielcode. Bin sehr zufrieden.
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5.0 von 5 Sternen Schnelle Lieferung! 18. August 2014
Format:Gebundene Ausgabe|Verifizierter Kauf
Sehr brauchbares Buch. Sollte in jedem Bücherregal vorhanden sein.
Guter Aufbau des Buches. Immer mit Darstellung des mathematischen Hintergrundes. Gut lesbar.
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1 von 3 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen gutes buch 5. Juli 2010
Von H. Stahl
Format:Gebundene Ausgabe
sollten sie jemals mit algorithmen oder der informatik zu tun haben ist dieses buch ein muss!
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Amazon.com: 3.6 von 5 Sternen  23 Rezensionen
113 von 120 Kunden fanden die folgende Rezension hilfreich
1.0 von 5 Sternen A licensing disaster 1. Dezember 2009
Von Ken Williams - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe
As other reviewers have mentioned, this is basically an annotated code repository of solutions to specific algorithmic problems, and the algorithms are good. However, if you want to *use* these solutions in your products, forget it. You'll need to pay (thousands of dollars per year, potentially) for the privilege of an institutional license, and even then you can't incorporate any of the algorithms into a commercial software product. The code is therefore useless. Worse than useless, actually, because if a company owns the book and then uses an algorithm contained in it - even if derived from a different source - it runs the risk of getting sued for licensing violations because they've seen the book. No thanks.

[...]

If the authors went with some kind of traditional open-source license instead, that would be terrific. Right now, it looks like financial greed has gotten in the way of the dissemination of good ideas.
124 von 133 Kunden fanden die folgende Rezension hilfreich
1.0 von 5 Sternen Copyright Idiocy! 26. März 2010
Von David Bruce - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe
People, stop buying and using this book! The copyright is prohibitive. It is not that they are greedy and want to make money from it. They won't sell you the rights to use any of these algorithms in commercial products, period. They are just stupid.

And don't give your code to a friend or coworker. You just violated the copyright.

Several coworkers have given me simulations with NR code buried in it. I can't use them. It is ILLEGAL!

Stop! Stop! Stop!

Use the GNU Scientific Library. It is free. And legal! And there is a free book on it. Use anything but NR.
63 von 65 Kunden fanden die folgende Rezension hilfreich
3.0 von 5 Sternen Valuable book, but not worth an upgrade 28. Juni 2008
Von K. Dixon - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe
Bottom line up front: Every computational scientist should own a copy of Numerical Recipes but, if you already own a previous version, then don't bother upgrading.

I already owned a copy of "Numerical Recipes in C, 2nd Edition" (from 1992), so I was absolutely thrilled when I saw that the book had been updated in over 15 years. This is why I was so underwhelmed with the 3rd edition. As a previous reviewer noted, the vast majority of the book is largely unchanged.

As in previous editions, the authors do a great job of providing codes that cover the spectrum of topics encountered by researchers. As in previous editions, the authors still take the "give a man a fish" instead of the "teach a man to fish" method. This might seem like a negative but, in my opinion, this is why every scientist should own a copy of Numerical Recipes. Often, topics pop up that need immediate solving and one can often find a code for the topic in Numerical Recipes. As in previous editions, Numerical Recipes is really just an annotated code repository, with very stringent/restrictive licensing rules by the way!

However, as the authors note in the introduction, they made a conscious decision to fill pages with verbatim codes, not building insight into various topics. In my experience, the codes given in Numerical Recipes get the job done, but these tend to be simple and less efficient than other well-known algorithms.

As in previous editions, Numerical Recipes is a terrible pedagogical text. If you're interesting in understanding a particular topic, then get a special-purpose book.
93 von 105 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Essential book on scientific computing 28. September 2007
Von calvinnme - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe
Fifteen years after its previous edition, this peerless book on scientific computing has been upgraded with some very welcome changes. Not only have some advances in scientific computing been incorporated, the explanations are even clearer and more detailed than before. More importantly, the code has been reworked so that it is better than it was in the previous edition. I don't agree with the other reviewer that "it is getting worse". However, it still does seem like C++ code that was written by a Fortran programmer who just doesn't want to let go of the past, although I'd have to say that the code has broken away from the Fortran-like structure of previous editions to some degree. If you do scientific computing at all, this new edition is a must have. Below I detail what is different in this new third edition versus the previous 1992 edition. There are a very few sections that were deleted. I don't mention them. Instead I list any sections or chapters that have been added.

1. Preliminaries
Completely reorganized to reflect the book.

2.Solution of Linear Algebraic Equations
THE SAME

3. Interpolation and Extrapolation
3.7 Interpolation on a Scattered Data in Multidimensions
3.8 Laplace Interpolation

4. Integration of Functions
4.5 Quadrature by Variable Transformation
4.8 Adaptive Quadrature

5. Evaluation of Functions
THE SAME

6. Special Functions
6.10 Generalized Fermi-Dirac Integrals
6.11 Inverse of the Function xlog(x)
6.14 Statistical Functions

7. Random Numbers
7.2 Completely Hashing a Large Array
7.3 Deviates from Other Distributions
7.4 Multivariate Normal Deviates
7.5 Linear Feedback Shift Registers
7.6 Hash Tables and Hash Memories

8. Sorting
THE SAME

9. Root Finding and Nonlinear Sets of Equations
THE SAME

10. Minimization or Maximization of Functions
10.1 Initially Bracketing a Minimum
10.6 Line Methods in Multidimensions
10.11 Linear Programming: Interior-Point Methods
10.13 Dynamic Programming

11. Eigensystems
11.2 Real Symmetric Matrices
11.6 Real Nonsymmetric Matrices

12. Fast Fourier Transform
THE SAME

13. Fourier and Spectral Applications
THE SAME

14. Statistical Description of Data
14.7 Information-Theoretic Properties of Distributions

15. Modeling of Data
15.8 Markov Chain Monte Carlo
15.9 Gaussian Process Regression

16. Classification and Inference (NEW CHAPTER)

17. Integration of Ordinary Differential Equations
17.7 Stochastic Simulation of Chemical Reaction Networks

18. Two-Point Boundary Value Problems
THE SAME

19. Integral Equations and Inverse Theory
THE SAME

20. Partial Differential Equations
20.7 Spectral Methods

21. Computational Geometry (NEW CHAPTER)

22. Less-Numerical Algorithms
22.1 Plotting Simple Graphs
87 von 99 Kunden fanden die folgende Rezension hilfreich
3.0 von 5 Sternen Contents improved, but codes not 28. September 2007
Von Jacky - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe
I'm a fan of this book since I've been using this book for a very long time. I pre-ordered the new version and got it a week ago. I think the contents are improved after I had a look at it. I'm pretty happy about that. However, the quality of the source codes, well, I have to say it is getting worse. As you may notice, authors of N.R. put a stringent license on usage of their codes, which is fine since these codes are their intellectual properties. But since they are selling their codes, they are supposed to hire some professional programmers to design a beatiful architecture, a nice data structure, and an easy-to-use interface, and implement all the algorithms with efficiency. As I can tell, C++ is abused in the 3rd version in a very bad way. I've been developing scientific computing software using C/C++ over 10 years, and I have to say the authors of the codes organized their work in a weird way. In the previous version of their codes in C++, global variables are still defined and used at so many places. Any professional programmer knows how bad such a programming style is. In this version, instead of wrapping their routines in classes, they simply use "struct" to hold global variables, does this delight you? This is just an example which upsets me. The only good thing is that they finally learned to use template...
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