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Numerical recipes in FORTRAN : the art of scientific computing

Author: William H Press
Publisher: Cambridge [England] ; New York, NY, USA : Cambridge University Press, 1992.
Edition/Format:   Print book : English : 2nd edView all editions and formats
Summary:
"This is the revised and greatly expanded Second Edition of the hugely popular Numerical Recipes: The Art of Scientific Computing. The product of a unique collaboration among four leading scientists in academic research and industry, Numerical Recipes is a complete text and reference book on scientific computing. In a self-contained manner it proceeds from mathematical and theoretical considerations to actual  Read more...
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Additional Physical Format: Online version:
Numerical recipes in FORTRAN.
Cambridge [England] ; New York, NY, USA : Cambridge University Press, 1992
(OCoLC)805924168
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: William H Press
ISBN: 052143064X 9780521430647 0521437210 9780521437219 0521437172 9780521437172 0521437199 9780521437196 0521437164 9780521437165 0521309573 9780521309578
OCLC Number: 25508507
Description: xxvi, 963 pages : illustrations ; 26 cm
Contents: Preliminaries; Solution of linear algebraic equations; Interpolation and extrapolation; Integration of functions; Evaluation of functions; Special functions; Random numbers; Sorting; 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; Integration of ordinary differential equations; Two point boundary value problems; Integral equations and inverse theory; Partial differential equations; Less-numerical algorithms; Index of programs and dependencies.
Responsibility: William H. Press [and others].
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Abstract:

The example books published as part of the Numerical Recipes second edition series contain source programs that exercise and demonstrate all of the Numerical Recipes subroutines.  Read more...

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"This is a phenomenal effort. Virtualy anyone involved in scientific computing, from engineers, to physicists, to social scientists, will find information and methods applicable to their specific Read more...

 
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    schema:reviewBody ""This is the revised and greatly expanded Second Edition of the hugely popular Numerical Recipes: The Art of Scientific Computing. The product of a unique collaboration among four leading scientists in academic research and industry, Numerical Recipes is a complete text and reference book on scientific computing. In a self-contained manner it proceeds from mathematical and theoretical considerations to actual practical computer routines. With over 100 new routines (now well over 300 in all), plus upgraded versions of many of the original routines, this book is more than ever the most practical, comprehensive handbook of scientific computing available today." "The book retains the informal, easy-to-read style that made the first edition so popular, with many new topics presented at the same accessible level. In addition, some sections of more advanced material have been introduced, set off in small type from the main body of the text. Numerical Recipes is an ideal textbook for scientists and engineers and an indispensable reference for anyone who works in scientific computing." "Highlights of the new material include a new chapter on integral equations and inverse methods; multigrid methods for solving partial differential equations; improved random number routines; wavelet transforms; the statistical bootstrap method; a new chapter on "less-numerical" algorithms including compression coding and arbitrary precision arithmetic; band diagonal linear systems; linear algebra on sparse matrices; Cholesky and QR decomposition; calculation of numerical derivatives; Pade approximants, and rational Chebyshev approximation; new special functions; Monte Carlo integration in high-dimensional spaces; globally convergent methods for sets of nonlinear equations; an expanded chapter on fast Fourier methods; spectral analysis on unevenly sampled data; Savitzky-Golay smoothing filters; and two-dimensional Kolmogorov-Smirnoff tests." "All this is in addition to material on such basic topics as: linear equations, interpolation and extrapolation, integration, nonlinear root-finding, eigensystems, ordinary differential equations, evaluation of functions, sorting, optimization, statistical description and modeling of data, and two-point boundary value problems."--Jacket." ;
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