The Numerical Recipes books cover a range of topics that include both classical numerical analysis (interpolation, integration, linear algebra, differential equations, and so on), signal processing (Fourier methods, filtering), statistical treatment of data, and a few topics in machine learning (hidden Markov models, support vector machines).
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According to the publisher, Cambridge University Press, the Numerical Recipes books are historically the all-time best-selling books on scientific programming methods.
Numerical digit | Numerical control | Numerical integration | numerical control | Numerical Algorithms Group | Numerical relativity | numerical digit | IMSL Numerical Libraries |