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基本説明
ベストセラーテキスト５年振りの改訂版。第2版では、Ｃ、C++, Fortranなどに分かれてたものを、1つに統一。（厳密には第２版のCとC++を改訂したもの。このため、Fortranの第２版は、第３版出版後も入手可能です）
The power of Numerical Recipes is now available to C++ users. Completely self-contained and fully compliant with the new ANSI/ISO C++ standard, the book features more than 300 supreme routines that provide a rock-solid basis for Scientific Computing of every kind. This CDROM contains complete code in C++ for the brand-new Numerical Recipes, Third Edition, plus source code from all earlier editios. New routines for classifocal and inference HMMs and SVMs, computational geomety, ODEs, interior point methods for linear programming, and MCMC.
Full 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.
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.
