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

巻冊次

source code CD ROM ISBN 9780521706858

内容説明

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.

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.
巻冊次

[Text]: hardback ISBN 9780521880688

内容説明

Do you want easy access to the latest methods in scientific computing? This greatly expanded third edition of Numerical Recipes has it, with wider coverage than ever before, many new, expanded and updated sections, and two completely new chapters. The executable C++ code, now printed in colour for easy reading, adopts an object-oriented style particularly suited to scientific applications. 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 whole book is presented in the informal, easy-to-read style that made earlier editions so popular. 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 to subscribe to an online version, 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.
巻冊次

: hardback with source code CD ROM ISBN 9780521884075

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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