Statistical distributions, such as the normal distribution, are useful for evaluating experimental or plant data. Although the cumulative distribution can be obtained by integrating numerically, it is more convenient to obtain it easily by steady-state calculation. Therefore, I created an example to calculate the normal distribution easily using Boost C++ library. The example contains a dll file to run the procedure in ACM. In addition, an example was created to compare with the results of the numerical integration. The Gear method was the most accurate integration method.
ACM example file: Boost_Procedure.zip (V12.1)
(Boost_Procedure.acmf , ACM_Boost.dll)
How to develop the dll file: ACM_Boost Procedure Development.pdf
Visual C++ 2019 Source Code: ACM_Boost.zip
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