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Numerical Recipes in C++ by William H Press,Saul A Teukolsky

  • Numerical Recipes in C++

  • The Art of Scientific Computing

  • by William H Press and Saul A Teukolsky
  • £42.75
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    • Product code: 19635
    • ISBN: 0521750334, ISBN13: 9780521750332, 1032 pages, hardback
      Published by Cambridge University Press, 2nd edition, 2004
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    Description of Numerical Recipes in C++

    Including and updating the full mathematical and explanatory contents of Numerical Recipes in C, this new version incorporates completely new C++ versions of the more than 300 Numerical Recipes routines that are widely recognized as the most accessible and practical basis for scientific computing.

    The product of a unique collaboration among four leading scientists in academic research and industry, Numerical Recipes is a complete text and reference book on scientific computing. In a self-contained manner it proceeds from mathematical and theoretical considerations to actual practical computer routines.

    Highlights include 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. The authors' approach to C++ preserves the efficient execution that C users expect, while simultaneously employing a clear, object-oriented interface to the routines.

    Contents of Numerical Recipes in C++

    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
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