The product of a unique collaboration among four leading scientists in academic research and industry, "Numerical Recipes in C++" is a comprehensive text and reference work on scientific computing. Thoroughly self-contained, it proceeds from mathematical and theoretical considerations to actual, practical computer routines.
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The product of a unique collaboration among four leading scientists in academic research and industry, "Numerical Recipes in C++" is a comprehensive text and reference work on scientific computing. Thoroughly self-contained, it proceeds from mathematical and theoretical considerations to actual, practical computer routines.
Read Less
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Seller's Description:
Minor rubbing. VG. 25x17cm, xxviii, 1002 pp. "Now the acclaimed Second Edition of Numerical Recipes is available in the C++ object-oriented programming language. Including and updating the full mathematical and explanatory contents of Numerical Recipes in C, this new version incorporates completely new C++ versions of the more than 300 Numerical Recipes routines that are widely recognized as the most accessible and practical basis for 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. Highlights include linear algebra, interpolation, special functions, random numbers, nonlinear sets of equations, optimization, eigensystems, Fourier methods and wavelets, statistical tests, ODEs and PDEs, integral equations and inverse theory. The authors' approach to C++ preserves the efficient execution that C users expect, while simultaneously employing a clear, object-oriented interface to the routines. Tricks and tips for scientific computing in C++ are liberally included. The routines, in ANSI/ISO C++ source code, can thus be used with almost any existing C++ vector/matrix class library, according to user preference. A simple class library for stand-alone use is also included in the book. Both scientific programmers new to C++, and experienced C++ programmers who need access to the Numerical Recipes routines, can benefit.
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Good. Ships from UK in 48 hours or less (usually same day). Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. 100% money back guarantee. We are a world class secondhand bookstore based in Hertfordshire, United Kingdom and specialize in high quality textbooks across an enormous variety of subjects. We aim to provide a vast range of textbooks, rare and collectible books at a great price. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. We provide a 100% money back guarantee and are dedicated to providing our customers with the highest standards of service in the bookselling industry.
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Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can included some highlighting and writing page and cover creases as well as other types visible wear.
...that's what my advisor had to say about the authors, most of them renowned astrophysicists. The content would be encountered in an undergraduate computational physics or numerical mathematics class, albeit there it would be both watered down and yet more formally presented. These guys give you the real deal theory complete with implementation albeit with informal insight to appeal to your intuition. For the physicist, C is probably the best language to learn the material, as we are not to be distracted with abstractions until first getting the job done, which is the purpose of this book.
Graduate numerical mathematics, which is basically methods to solve PDEs, are only barely touched upon in this book. As another professor first taught me, all those advanced methods in the end result in a linear system Ax=b. And so x=A^-1 b, which requires ways to invert the matrix A, which is best handled by the procedures described in this book. It is therefore the backbone of numerics.