書誌事項

Numerical recipes : the art of scientific computing

William H. Press ... [et al.]

Cambridge University Press, 2007

3rd ed

  • [Text]: hardback
  • source code CD ROM
  • : hardback with source code CD ROM

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注記

Other authors: Saul A. Teukolsky, William T. Vetterling, Brian P. Flannery

Includes bibliographical references and index

内容説明・目次

内容説明

This book/CD bundle of the greatly expanded third edition of Numerical Recipes now has wider coverage than ever before, many new, expanded and updated sections, and two completely new chapters. Co-authored by four leading scientists from academia and industry, Numerical Recipes starts with basic mathematics and computer science and proceeds to complete, working routines. The informal, easy-to-read style that made earlier editions so popular is kept throughout. Highlights of the new material include: a new chapter on classification and inference, Gaussian mixture models, HMMs, hierarchical clustering, and SVMs; a new chapter on computational geometry, covering KD trees, quad- and octrees, Delaunay triangulation, and algorithms for lines, polygons, triangles, and spheres; interior point methods for linear programming; MCMC; an expanded treatment of ODEs with completely new routines; and many new statistical distributions. For support or further licence information please visit www.nr.com.

目次

  • 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.

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