Numerical Recipes Source Code CD-ROM 3rd Edition
The Art of Scientific Computing
3rd Edition
Will be published approx. on 6. September 2007
Software
CD-ROM
1235 pages
978-0-521-70685-8 (ISBN)
Description
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.
Reviews / Votes
' ... an essential component of any serious scientific or engineering library.' Computing Reviews ' ... an instant 'classic,' a book that should be purchased and read by anyone who uses numerical methods ...' American Journal of Physics ' ... replete with the standard spectrum of mathematically pretreated and coded/numerical routines for linear equations, matrices and arrays, curves, splines, polynomials, functions, roots, series, integrals, eigenvectors, FFT and other transforms, distributions, statistics, and on to ODE's and PDE's ... delightful.' Physics in Canada ' ... a must for anyone doing scientific computing.' Journal of the American Chemical Society 'The authors are to be congratulated for providing the scientific community with a valuable resource.' The Scientist 'If you were to have only a single book on numerical methods, this is the one I would recommend.' IEEE Computational Science & EngineeringMore details
Edition
3rd Revised edition
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
College/higher education
Edition type
Revised edition
Illustrations
col.
Dimensions
Height: 193 mm
Width: 138 mm
Thickness: 17 mm
Weight
82 gr
ISBN-13
978-0-521-70685-8 (9780521706858)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
William H. Press | Saul A. Teukolsky | William T. Vetterling
Numerical Recipes Multi-Language Code CD ROM with LINUX or UNIX Single-Screen License
Source Code for the second edition versions of C, C++, Fortran 77, Fortran 90, and the first edition versions of Pascal, BASIC, Lisp and Modula 2 plus many extras
Software
02/2002
2nd Edition
Cambridge University Press
€165.22
Article exhausted; check for reprint
Persons
William H. Press holds the Raymer Chair in Computer Sciences and Integrative Biology at the University of Texas at Austin. Saul A. Teukolsky is H. A. Bethe Professor in Physics in the Radiophysics and Space Research Department of Cornell University. William Vetterling is a Research Fellow and Director of the Image Science Laboratory at ZINK Imaging, LLC in Waltham, MA. His career includes eight years on the physics faculty at Harvard, and 20 years of numerical modeling and laboratory research on digital imaging at Polaroid Corporation. Brian P. Flannery is Science, Strategy and Programs Manager at Exxon Mobil Corporation.
Content
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.