Numerical Recipes 3rd Edition: The Art of Scientific Computing

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

• ISBN13: 9780521880688
• ISBN10: 0521880688
• Edition: 3rd
• Format: Hardcover
• Copyright: 2007-09-10
• Publisher: Cambridge University Press

Summary

The product of a unique collaboration among four leading scientists in academic research and industry, Numerical Recipes is a comprehensive text and reference work on scientific computing. Thoroughly self-contained, it proceeds from mathematical and theoretical considerations to actual, practical computer routines. This new version incorporates completely new C++ versions of the more than 300 Numerical Recipes Second Edition routines widely recognized as the most accessible and practical basis for scientific computing, in addition to including the full mathematical and explanatory contents of Numerical Recipes in C. Key Features: Includes linear algebra, interpolation, special functions, random numbers, nonlinear sets of equations, optimization, eigensystems, Fourier methods and wavelets, statistical tests, ODEs and PDEs, integral equations, and inverse theory. A wealth of tricks and tips for scientific computing in C++ The routines, in ANSI/ISO C++ source code, can be used with almost any existing C++ vector/matrix class library, according to user preference Includes a simple class library for stand-alone use Other new Numerical Recipes products for your library... Numerical Recipes Example Book [C++] Numerical Recipes Code CDROM with Windows, DOS, or Macintosh Single Screen License--v2.10 including C++, Second Edition Numerical Recipes Code CDROM with LINUX or UNIX Single Screen License v2.10 including C++, Second Edition Numerical Recipes Code CDROM with Windows, DOS, or Macintosh Single Screen License

Table of Contents

Preliminaries

Solution of linear algebraic equations

Interpolation and extrapolation

Integration of functions

Evaluation of functions

Special functions

Random numbers

Sorting and selection

Root finding and nonlinear sets of equations

Minimization or maximization of functions

Eigensystems

Fast Fourier transform

Fourier and spectral applications

Statistical description of data

Modeling of data

Classification and inference

Integration of ordinary differential equations

Two point boundary value problems

Integral equations and inverse theory

Partial differential equations

Computational geometry

Less-numerical algorithms

References

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