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

Numerical Recipes

The Art of Scientific Computing
Mitarbeit:Press, William H.; Teukolsky, Saul A.; Vetterling, William T.; Flannery, Brian P.

• Gebundenes Buch

Produktbeschreibung

The third edition of Numerical Recipes has wider coverage than ever before, with two new chapters, and many other expanded and updated sections. The executable object-oriented C++ code for all the routines is now printed in colour for easy reading.
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
- Many new statistical distributions

Produktdetails

• Verlag: Cambridge University Press
• 3. Aufl.
• Seitenzahl: 1256
• Erscheinungstermin: 6. September 2007
• Englisch
• Abmessung: 261mm x 184mm x 66mm
• Gewicht: 2305g
• ISBN-13: 9780521880688
• ISBN-10: 0521880688
• Artikelnr.: 22753381

Autorenporträt

William H. Press holds the Raymer Chair in Computer Sciences and Integrative Biology at the University of Texas at Austin.

Inhaltsangabe

From the 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 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.

Rezensionen

'This monumental and classic work is beautifully produced and of literary as well as mathematical quality. It is an essential component of any serious scientific or engineering library.' Computing Reviews