Tuesday, April 30, 2013

Numerical Recipes: The Art of Scientific Computing 3e

Numerical Recipes: The Art of Scientific Computing 3rd Edition PDF Download Ebook. William H. Press, Saul A. Teukolsky, William T. Vetterling and Brian P. Flannery describe basic mathematics and computer science and proceeds to complete, working routines. Widely recognized as the most comprehensive, accessible and practical basis for scientific computing, this new edition incorporates more than 400 Numerical Recipes routines, many of them new or upgraded.

The executable C++ code, now printed in color for easy reading, adopts an object-oriented style particularly suited to scientific applications. The whole book is presented in the informal, easy-to-read style that made earlier editions so popular. The book includes commented full listings of now more than 400 unique C++ routines that can be downloaded in machine-readable form (see right) for inclusion in users' programs.

This text has 2 new chapters, 25 new sections, and is about 25% longer than the 2nd edition. Its code is wholeheartedly object oriented, demonstrating diverse techniques for using the full power of C++. Color and marginal labels add clarity to the text and code. Journal references now include article titles.

New or expanded topics include classification and inference (including Gaussian mixture models, hidden Markov modeling, hierarchical clustering, support vector machines); computational geometry (including KD trees, quad- and octrees, Delaunay triangulation, polygons, triangles, spheres); many new statistical distributions; completely new ODE routines; expanded random deviates; spectral and pseudospectral methods for PDEs.

Other topics include interior point methods for linear programming; expanded sparse matrices; interpolation in multidimensions; quadrature by variable transformation; fast spherical harmonic transforms; fast incremental quantile estimation; information theoretic properties of distributions; wavelets on the interval; kriging; phylogenetic trees; soft error decoding; stochastic simulation of reaction networks; and much, much more!

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