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 avatar commented on May 3, 2024

Although the normal distribution is present under random library as std::normal_distribution , should i just add an implementation from the ground up or implement that directly?

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deadshotsb avatar deadshotsb commented on May 3, 2024

In case of std::normal_distribution, it is effective in calculating the standard deviation and mean of the distribution. But if we can extend the present scenario to calculate the std deviation and mean of not one but N of those distributions in an optimised way. I checked in the probability file of this repository but there is no reference of distribution functions, so this has to be done from ground up I suppose. This can be a great addition while working with some large files (with rapid additions) without starting from beginning.

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cclauss avatar cclauss commented on May 3, 2024

Also feel free to create new versions of functions that are already in the standard library if you believe that your reimplementation can educate others.

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stale avatar stale commented on May 3, 2024

This issue has been automatically marked as abandoned because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.

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stale avatar stale commented on May 3, 2024

Please ping one of the maintainers once you add more information and updates here. If this is not the case and you need some help, feel free to ask for help in our Gitter channel. Thank you for your contributions!

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