Numerical Recipes Source Code CD-ROM 3rd Edition
Numerical Recipes Source Code CD-ROM 3rd Edition
Saul A. Teukolsky , Cornell University, New York
William T. Vetterling , Polaroid Corporation, Cambridge, Massachusetts
Brian P. Flannery , Exxon Research and Engineering, New Jersey
Looking for an examination copy?
This title is not currently available for examination. However, if you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact [email protected] providing details of the course you are teaching.
$111.00
USDThe Numerical Recipes Third Edition Code CDROM contains the complete source code in C++ for Numerical Recipes Third Edition, with many completely new routines, plus source code from Numerical Recipes Second Edition in C, Fortran 77, and Fortran 90 and Numerical Recipes First Edition in Pascal and BASIC, and more.
Compatible with all computers and operating systems, the CDROM includes a Personal Single-User License that allows an individual to use the copyrighted code on any number of computers (no more than one at a time). More general licenses are available, as well as more information about the CDROM and the book -- including a fully electronic online version. Please visit <a href="http://www.nr.com">www.nr.com</a> or <a href="http://www.cambridge.org/us/numericalrecipes">www.cambridge.org/us/numericalrecipes</a> for more details. More information concerning licenses is available at:
<a href="http://www.nr.com/licenses ">www.nr.com/licenses </a>
The Readers' Forum, for bug reports and other information on using Numerical Recipes: <a href="http://http://www.nr.com/forum/">http://www.nr.com/forum/ </a>
- Most comprehensive book available on scientific computing, now updated
- New routines for classification and inference HMMs and SVMs, computational geometry, ODEs, interior point methods for linear programming, and MCMC
- Over 600,000 Numerical Recipes products in print
Reviews & endorsements
"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."
IEEE 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
Product details
September 2007CD-ROM
9780521706858
0 pages
191 × 136 × 15 mm
0.09kg
Available
Table of Contents
- 1. Preliminaries
- 2. Solution of linear algebraic equations
- 3. Interpolation and extrapolation
- 4. Integration of functions
- 5. Evaluation of functions
- 6. Special functions
- 7. Random numbers
- 8. Sorting and selection
- 9. Root finding and nonlinear sets of equations
- 10. Minimization or maximization of functions
- 11. Eigensystems
- 12. Fast Fourier transform
- 13. Fourier and spectral applications
- 14. Statistical description of data
- 15. Modeling of data
- 16. Classification and inference
- 17. Integration of ordinary differential equations
- 18. Two point boundary value problems
- 19. Integral equations and inverse theory
- 20. Partial differential equations
- 21. Computational geometry
- 22. Less-numerical algorithms
- References.
