Our systems are now restored following recent technical disruption, and we’re working hard to catch up on publishing. We apologise for the inconvenience caused. Find out more

Recommended product

Popular links

Popular links


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
No date available
CD-ROM
9780521706858
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

    ' … 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

    ' … 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

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

    See more reviews

    Product details

    No date available
    CD-ROM
    9780521706858
    0 pages
    191 × 136 × 15 mm
    0.09kg

    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.