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Numerical Recipes The Art of Scientific Computing

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ISBN-10: 0521880688

ISBN-13: 9780521880688

Edition: 3rd 2007 (Revised)

Authors: William H. Press, Saul A. Teukolsky, William T. Vetterling, Brian P. Flannery

List price: $125.00
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Description:

Co-authored by four leading scientists from academia and industry, Numerical Recipes Third Edition starts with 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. Find more information at www.nr.com or …    
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Book details

List price: $125.00
Edition: 3rd
Copyright year: 2007
Publisher: Cambridge University Press
Publication date: 9/6/2007
Binding: Hardcover
Pages: 1256
Size: 7.48" wide x 10.31" long x 1.77" tall
Weight: 4.972
Language: English

William Vetterling is a Research Fellow and Director of the Image Science Laboratory at ZINK Imaging, LLC in Waltham, MA. His career includes eight years on the physics faculty at Harvard and 20 years of numerical modeling and laboratory research on digital imaging at Polaroid Corporation.

Preliminaries
Solution of linear algebraic equations
Interpolation and extrapolation
Integration of functions
Evaluation of functions
Special functions
Random numbers
Sorting and selection
Root finding and nonlinear sets of equations
Minimization or maximization of functions
Eigensystems
Fast Fourier transform
Fourier and spectral applications
Statistical description of data
Modeling of data
Classification and inference
Integration of ordinary differential equations
Two point boundary value problems
Integral equations and inverse theory
Partial differential equations
Computational geometry
Less-numerical algorithms
References