Now the acclaimed Second Edition of Numerical Recipes : The Art of Scientific Computing is available in the C + object-oriented programming language.... > Lire la suite
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Now the acclaimed Second Edition of Numerical Recipes : The Art of Scientific Computing is available in the C + object-oriented programming language. Including and updating the full mathematical and explanatory contents of Numerical Recipes in C, this new version incorporates completely new C + versions of the more than 300 Numerical Recipes routines that are widely recognized as the most accessible and practical basis for scientific computing. The authors' approach to C + preserves the efficient execution that C users expect, while simultaneously employing a clear, object-oriented interface to the routines. Tricks and tips for scientific computing in C + are liberally included. The routines, in ANSI/ISO C + source code, can thus be used with almost any existing C + vector/matrix class library, and any ANSI/ISO-compatible compiler, according to user preference. A simple class library for standalone use is also included in the book. Both scientific programmers new to C + and experienced C + programmera who need access to the Numerical Recipes routines, can benefit from this important new version of the invaluable, classic text. The product of a unique collaboration among four leading scientists in academic research and industry, Numerical Recipes is a complete text and reference bock on scientific computing. In a self-contained manner it proceeds from mathematical and theoretical considerations to actual practical computer routines. Highlights include linear algebra, interpolation, special fonctions, random numbers, nonlinear sets of equations, optimization, eigensystems, Fourier methods and wavelets, statistical tests, ODES and PDEs, integral equations, and inverse theory. Comprehensive coverage and an informai, easy-to read style make Numerical Pecipes an ideal textbook for scientiste and engineers and an indispensable reference for anyone needing to do scientific computing.