Record Display for the EPA National Library Catalog

RECORD NUMBER: 9 OF 9

OLS Field Name OLS Field Data
Main Title Numerical recipes in FORTRAN : the art of scientific computing /
Other Authors
Author Title of a Work
Press, William H.
Publisher Cambridge University Press,
Year Published 1992
OCLC Number 25508507
ISBN 052143064X; 9780521430647; 0521437210; 9780521437219; 0521437172; 9780521437172; 0521437199; 9780521437196; 0521437164; 9780521437165; 0521309573; 9780521309578; 9788185618173; 8185618178
Subjects FORTRAN (Computer program language) ; Numerical analysis--Computer programs. ; Science--Mathematics--Computer programs. ; 31.76 numerical analysis.--(NL-LeOCL)077602102 ; Analyse mathématique. ; Logiciels. ; Langages de programmation. ; FORTRAN 77 ; Numerische Mathematik ; Numerieke wiskunde. ; Dataprocessing. ; Analyse numerique--Logiciels ; Sciences--Mathematiques--Logiciels ; Fortran (Langage de programmation)
Internet Access
Description Access URL
http://www.loc.gov/catdir/description/cam041/92008876.html
Inhaltstext http://www.zentralblatt-math.org/zmath/en/search/?an=0778.65002
Publisher description http://catdir.loc.gov/catdir/description/cam041/92008876.html
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EKBM  QA76.73.F25N845 1992 Research Triangle Park Library/RTP, NC 08/31/2011
ESBM  QA76.73.F25N845 1992 CPHEA/PESD Library/Corvallis,OR 04/10/2020
Edition 2nd ed.
Collation xxvi, 963 pages : illustrations ; 26 cm
Notes
Includes bibliographical references (pages 916-919) and index.
Contents Notes
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. "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.