Wrtitten in C++, this book/CD of Numerical Recipes 3rd Edition now covers: classification and inference; computational geometry; MCMC; interior point methods; and there is an improved treatment of ODEs. For more information, or to buy, visit www.cambridge.org/numericalrecipes. For licences or information about electronic subscriptions, please visit www.nr.com.
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' ... 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 & Engineering
This book/CD bundle of the greatly expanded third edition of Numerical Recipes now has wider coverage than ever before, many new, expanded and updated sections, and two completely new chapters. 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 informal, easy-to-read style that made earlier editions so popular is kept throughout. 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; and many new statistical distributions. For support or further licence information please visit www.nr.com.
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