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So, tried to use the generator. Got some bugs that suggested out of range generation, so, tried it by hand.
```javascript
> const PcgRandom = require('pcg-random');
undefined
> const rng = new …
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Any plan of proposing the PCG RNG to the C++ standard committee? The current RNGs in C++ are slow: https://en.cppreference.com/w/cpp/numeric/random.
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Can anyone tell me if the current c++ implementation of the PCG random number generator thread safe?
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Hey, I tried to install PyEtaler on a ubuntu20.04, and so far all 3 methods failed, because of the same error.
I successfully installed Etaler, and was able to run the examples, but no luck getting P…
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Pseudo random numbers can be generated quickly, when you need a lot of them. May be useful for Procedural generation or Monte Carlo simulation.
### haskell/random
#### High level
- [ ] [Ran…
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There has been user desire for generating random numbers with respect to other distributions (normal in particular). But we should also consider adding other common distributions (power law, binomial,…
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Since PCG is oriented towards speed, I thought I'd mention that as far as performance goes, not being able to inline the core functions like `pcg32_random_r` has a significant impact on speed. I'm get…
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It would be useful to implement some tests to check the rigor of our Gaussian and floating point random number streams, since the underlying PCG implementation we are based on only generates integral …
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I looked at your code and it just uses 32 bits of randomness (because the seed of Random.PCG is a 32 bit int), if I'm not completely mistaken. This means that according to https://en.wikipedia.org/wik…
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I'd like to store my rng as a class member, as I have many methods that require it in my class. Something like:
```
class MyClass {
pcg32 rng;
// ...
MyClass() : rng(pcg_extras::seed_seq_from{}…