-
```
Initialize random number generator with srand() in classRF.cpp, otherwise
seedMT is seeded deterministically.
#include
srand ( time(NULL) );
prior to:
seedMT(2*rand()+1);
```
Original iss…
-
```
Initialize random number generator with srand() in classRF.cpp, otherwise
seedMT is seeded deterministically.
#include
srand ( time(NULL) );
prior to:
seedMT(2*rand()+1);
```
Original iss…
-
```
Initialize random number generator with srand() in classRF.cpp, otherwise
seedMT is seeded deterministically.
#include
srand ( time(NULL) );
prior to:
seedMT(2*rand()+1);
```
Original iss…
-
Right now it is done with `RandomSeed` variable of type `int`, which needs to be changed into `vector`.
-
```
Initialize random number generator with srand() in classRF.cpp, otherwise
seedMT is seeded deterministically.
#include
srand ( time(NULL) );
prior to:
seedMT(2*rand()+1);
```
Original iss…
-
```
Initialize random number generator with srand() in classRF.cpp, otherwise
seedMT is seeded deterministically.
#include
srand ( time(NULL) );
prior to:
seedMT(2*rand()+1);
```
Original iss…
-
```
Initialize random number generator with srand() in classRF.cpp, otherwise
seedMT is seeded deterministically.
#include
srand ( time(NULL) );
prior to:
seedMT(2*rand()+1);
```
Original iss…
-
Using the development Docker container (both in Docker and Singularity) the generated simulations are different from the ones that are generated on other machines including Juseless, Colab and Kaggle,…
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Currently we use two random number generators: Mersenne Twister for Reference and CPU platforms, and KISS for CUDA and OpenCL. Those are fine generators, but they're no longer state of the art. We s…
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Setup a Uniform Random Number Generator