Numerical Recipes is the generic title of a series of books on algorithms and numerical analysis by William H. Press, Saul A. Teukolsky, William T. Vetterling and Brian P. Flannery. In various editions, the books have been in print since 1986. The most recent edition was published in 2007.
The rebuttal does not, however, cover criticisms regarding lack of mentions to code limitations, boundary conditions, and more modern algorithms, another theme in Snyder's comment compilation.[9] A precision issue in Bessel functions has persisted to the third edition according to Pavel Holoborodko.[8]
Numerical Recipes In C Third Edition Pdf Download
This greatly expanded third edition of Numerical Recipes has it, with wider coverage than ever before, many new, expanded and updated sections, and two completely new chapters. The executable C++ code, now printed in color for easy reading, adopts an object-oriented style particularly suited to scientific applications. 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 whole book is presented in the informal, easy-to-read style that made earlier editions so popular. 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.
The GNU Scientific Library (GSL) is a free numerical library for C and C++ programmers. It provides over 1,000 routines for solving mathematical problems in science and engineering. Written by the developers of GSL this reference manual is the definitive guide to the library. The GNU Scientific Library is free software, distributed under the GNU General Public License (GPL). All the money raised from the sale of this book supports the development of the GNU Scientific Library. This is the third edition of the manual, and corresponds to version 1.12 of the library (updated January 2009).
A textbook on numerical physics, covering classical mechanics, electrodynamics, optics, statistical physics and quantum mechanics. The example programs in the book use the GNU Scientific Library and are free software (the source code can be downloaded from the Springer site below).
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way, by S. Mallat is the improved, revised version of his classic book. It should be noted that much of the work on this third edition was done by Gabriel Peyre. Some of the new developments of the past few years are now discussed in the book, including in Chapter 12, "Sparsity in redundant dictionaries", and Chapter 13, "Inverse problems". I don't know what Caltech does to its graduate students who used the 2nd edition of the book in a certain class, but there is a certain negative review of this book on Amazon that you should take with a grain of salt. Allow me to retort. First, it is said that this is an information dump. Nobody said that you should read the book in linear order --- the author himself lists possible course paths in the preface --- so this argument is very cheap in my view. Second, there is the complaint that the author does not give all the information necessary to do the numerical implementation: I'll rephrase that by saying that most of the information is in the book, but not in the form of pseudo-code. There is a reason why "Numerical recipes in C" is not on my night stand! "A wavelet tour" is a book meant to be read, and in addition, all the code is provided online. Third, it is said that the book has many typos. I agree that this is true for the 2nd edition, but did the reviewer bother to even open the 3rd edition before writing his review? I stand by my view that "A wavelet tour" is still, in 2009, the best book on wavelets for mathematically-inclined people. (Note to Academic Press: restore glossy pages, please.)
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