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Numerical Recipes 3rd Edition: The Art of Scientific Computing

Numerical Recipes 3rd Edition: The Art of Scientific Computing
Authors: William H. Press, Saul A. Teukolsky, William T. Vetterling, Brian P. Flannery
Publisher: Cambridge University Press
Category: Book

List Price: $82.00
Buy New: $54.95
You Save: $27.05 (33%)



New (32) Used (18) from $45.97

Rating: 4.5 out of 5 stars 7 reviews
Sales Rank: 11465

Media: Hardcover
Edition: 3
Pages: 1256
Number Of Items: 1
Shipping Weight (lbs): 4.5
Dimensions (in): 10.2 x 7.4 x 1.8

ISBN: 0521880688
Dewey Decimal Number: 518.0285
EAN: 9780521880688
ASIN: 0521880688

Publication Date: September 10, 2007
Availability: Usually ships in 1-2 business days

Editorial Reviews:

Product Description
Do you want easy access to the latest methods in scientific computing? 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.

Book Description
Finally the acclaimed text and reference book Numerical Recipes is available in a third edition. All executable code, now printed in color for easy reading, is in C++, using an object-oriented computing style for scientific applications. 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
  • Many new statistical distributions
Find more information about the book, and even subscribe to a fully electronic, online version at www.nr.com.



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