Numerical Recipes in C++ : The Art of Scientific Computing (Hardcover)

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

  • 出版商: Camberidge
  • 出版日期: 2002-02-07
  • 售價: $950
  • 貴賓價: 9.8$931
  • 語言: 英文
  • 頁數: 1002
  • 裝訂: Hardcover
  • ISBN: 0521750334
  • ISBN-13: 9780521750332
  • 相關分類: C++ 程式語言

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商品描述

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
  • 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
    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. Integration of ordinary differential equations
    17. Two point boundary value problems
    18. Integral equations and inverse theory
    19. Partial differential equations
    20. Less-numerical algorithms
    References.