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Numerical Recipes Source Code CD-ROM 3rd Edition

Numerical Recipes Source Code CD-ROM 3rd Edition

Numerical Recipes Source Code CD-ROM 3rd Edition

The Art of Scientific Computing
3rd Edition
William H. Press, University of Texas, Austin
Saul A. Teukolsky, Cornell University, New York
William T. Vetterling, Polaroid Corporation, Cambridge, Massachusetts
Brian P. Flannery, Exxon Research and Engineering, New Jersey
September 2007
CD-ROM
9780521706858
$105.00
USD
CD-ROM

    Do you want reliable code for the latest methods in scientific computing?
    This CD-ROM contains all the source code from the new, and all previous, editions and language versions of Numerical Recipes. Included are:
    Numerical Recipes, Third Edition: complete source code in C++, with many brand-new routines
    Numerical Recipes, Second Edition: complete source code in C, Fortran 77, and Fortran 90
    Numerical Recipes, First Edition: complete source code in Pascal and BASIC plus third-party ports of the code to Modula 2 and Common Lisp
    The CDROM also features an archive of difficult-to-find historical materials, including Baker's C Tools and More C Tools, Lau's Numerical Library in C for Scientists and Engineers, the influential NUMAL Algol 60 library from the Mathematisch Centrum in Amsterdam, and more than 250 MB of physically generated and multiply encrypted random bytes.
    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). For support or more general license information visit at www.nr.com.

    • 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

    See more reviews

    Product details

    September 2007
    CD-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.