Cover image for Numerical recipes the art of scientific computing
Title:
Numerical recipes the art of scientific computing
Edition:
3rd ed.
Publication Information:
Cambridge, UK ; New York, NY : Cambridge University Press, 2007
Physical Description:
1 CD-ROM; 12 cm.
ISBN:
9780521706858
General Note:
Accompanies text of the same title : QA297 N858 2007
Added Author:

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30000010162144 CP 016216 Computer File Accompanies Open Access Book Compact Disc Accompanies Open Access Book
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Summary

Summary

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.


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