Numerical Recipes
The Art of Scientific Computing
(Sprache: Englisch)
The essential text and reference for modern scientific computing now also covers computational geometry, classification and inference, and much more.
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Produktinformationen zu „Numerical Recipes “
The essential text and reference for modern scientific computing now also covers computational geometry, classification and inference, and much more.
Klappentext zu „Numerical Recipes “
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 - Many new statistical distributions For more information, or to buy the book, visit www.cambridge.org/numericalrecipes. For support, or to subscribe to an online version, please visit www.nr.com.
Inhaltsverzeichnis zu „Numerical Recipes “
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.
Autoren-Porträt von William H. Press, Saul A. Teukolsky, William T. Vetterling, Brian P. Flannery
William H. Press holds the Raymer Chair in Computer Sciences and Integrative Biology at the University of Texas at Austin.
Bibliographische Angaben
- Autoren: William H. Press , Saul A. Teukolsky , William T. Vetterling , Brian P. Flannery
- 2007, 3rd Edition, 1256 Seiten, 37 Abbildungen, Maße: 18,4 x 26,1 cm, Gebunden, Englisch
- Verlag: Cambridge University Press
- ISBN-10: 0521880688
- ISBN-13: 9780521880688
- Erscheinungsdatum: 12.09.2007
Sprache:
Englisch
Rezension zu „Numerical Recipes “
‘These books are a must for anyone doing scientific computing.’ Journal of the American Chemical Society
Pressezitat
'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
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