Of the articles in this repository, Randomization and Sampling Methods and More Random Sampling Methods combined are very long (about 230 KB in size combined). I would like to reduce their size while maintaining the most relevant algorithms for random variate generation.
Here are my goals for both articles:
- To shorten the Randomization with Real Numbers section as much as possible, while still describing the most general (and exact) algorithms possible for sampling real numbers of any distribution.
- To put emphasis on algorithms that work with random integers (or, if necessary, rational numbers), rather than random floating-point numbers.
- To put emphasis on algorithms that sample a distribution exactly, or at least with a controlled upper bound on the error. For discussion, see "Exact, Error-Bounded, and Approximate Algorithms".
- To ensure the documents are easy for programmers to understand and implement.
Letting them know: @dhardy, @lcrocker, @dj-on-github, @maciej-bendkowski, @christoph-conrads . If you know anyone familiar with random variate generation, let them know about this issue.
Of the articles in this repository, Randomization and Sampling Methods and More Random Sampling Methods combined are very long (about 230 KB in size combined). I would like to reduce their size while maintaining the most relevant algorithms for random variate generation.
Here are my goals for both articles:
Letting them know: @dhardy, @lcrocker, @dj-on-github, @maciej-bendkowski, @christoph-conrads . If you know anyone familiar with random variate generation, let them know about this issue.