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Section 1.3.1 seems to incorrectly indicate that the default PRNG is Mersenne not PCG64.
```
np.random: random numbers (Mersenne Twister PRNG):
```
This conflicts with the actual behavior:
…
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A sensible URL at the mersenne forum to use seems to be:
https://www.mersenneforum.org/showthread.php?t=15646
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```
Improve random number generator to Mersenne twister.
http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/emt.html
```
Original issue reported on code.google.com by `jmidd...@gmail.com` on 29 Oct 20…
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Hi,
It's obvious that Mersenne did not have modern technology at his disposal, otherwise he would have removed the questions regarding the distance to the moon and sun (both are changing, slowly...…
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```
Improve random number generator to Mersenne twister.
http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/emt.html
```
Original issue reported on code.google.com by `jmidd...@gmail.com` on 29 Oct 20…
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Seeing as this repo inherits lots of code from https://github.com/ekzhu/datasketch, it should be noted that the implementation of mersenne prime hashing used in both repos causes overflows, and poten…
Apsod updated
6 months ago
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Including BabyBear (supported by Plonky3) and Mersenne-31 (supported by Plonky3 and Stwo).
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A Mersenne prime is a prime number that is one less than a power of two. That is, it is a prime number of the form Mn = 2n − 1 for some integer n.
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Given the popularity of Numba for Monte Carlo, we might want to consider using a faster MT implementation than NumPy, since we have to put an implementation into Numba anyway.
Julia uses this: http…
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On my machine generating 1024\*1024\*32 random numbers takes about 10 seconds.
Here: http://www.fixstars.com/en/opencl/book/OpenCLProgrammingBook/mersenne-twister/ (and complete downloads here http…