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- W2487232015 abstract "This chapter presents details of basic mathematical tools and algorithms. There are some basic mathematical tools and algorithms that are used constantly in computational quantitative analysis. A module for pseudo-random number generators is provided in the Python libraries. It uses the Mersenne Twister algorithm as the core generator, one of the most extensively tested random number generation schemes of all time. It is helpful to first define some utility functions for searching an ordered sequence of numbers to elegantly implement interpolation schemes in a single dimension. The parameterization of the bound algorithm by the user provided less-than predicate admits other interesting uses. Another popular interpolation method, popular because the curves it produces are particularly smooth, is to let the fitting function be a piecewise union of cubic polynomials." @default.
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- W2487232015 date "2012-01-02" @default.
- W2487232015 modified "2023-09-26" @default.
- W2487232015 title "Basic Mathematical Tools" @default.
- W2487232015 doi "https://doi.org/10.1002/9780470685006.ch4" @default.
- W2487232015 hasPublicationYear "2012" @default.
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