Numerical Recipes Source Code CD-ROM: The Art of Scientific Computing / Edition 3

Numerical Recipes Source Code CD-ROM: The Art of Scientific Computing / Edition 3

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

ISBN-10: 0521706858

ISBN-13: 9780521706858

Pub. Date: 08/31/2007

Publisher: Cambridge University Press

The 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,

…  See more details below

Overview

The 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 www.nr.com or www.cambridge.org/us/numericalrecipes for more details. More information concerning licenses is available at: www.nr.com/licenses The Readers' Forum, for bug reports and other information on using Numerical Recipes: http://www.nr.com/forum/

Product Details

ISBN-13:
9780521706858
Publisher:
Cambridge University Press
Publication date:
08/31/2007
Edition description:
Revised Edition
Pages:
1235
Product dimensions:
5.35(w) x 7.52(h) x 0.59(d)

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.

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >