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Random real in [0..1[ using Mersenne Twister


Random real in [0..1[ using Mersenne Twister

By : user2955427
Date : November 22 2020, 10:40 AM
I think the issue was by ths following , This happens because the return value of newr() and newr.max() are integers and the value returned by newr() is smaller than newr.mar(). The result of the division is a zero integer which is then converted to a double. To fix this use
code :
rn = static_cast<double>(newr()) / newr.max();


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C++ Mersenne Twister and Random numbers lib

C++ Mersenne Twister and Random numbers lib


By : Joseph Chavez
Date : March 29 2020, 07:55 AM
will help you boost::random might be helpful to you.
Mersenne Twister random algorithm how can i seed init_genrand, random numbers are always the same C#

Mersenne Twister random algorithm how can i seed init_genrand, random numbers are always the same C#


By : The App Business
Date : March 29 2020, 07:55 AM
may help you . To seed a random generator you need a number that is different for each execution. Usually a number based on the system clock is used, for example:
code :
init_genrand((ulong)DateTime.UtcNow.Ticks);
ulong[] init = { (ulong)DateTime.UtcNow.Ticks };
ulong length = init.Length;
init_by_array(init, length);
Mersenne Twister (mt19937ar.c) not returning random number

Mersenne Twister (mt19937ar.c) not returning random number


By : justin_case
Date : March 29 2020, 07:55 AM
this one helps. The Mersenne Twister is not magical; it has no way of producing random results from predictable input. If you want a random sequence, you have to seed the generator by calling init_genrand() with some sort of unique value. Otherwise it'll use a fixed default seed (specifically: 5489).
An easy value to use is the current time:
code :
init_genrand(time(NULL));
Generate more than one random value using Mersenne-Twister

Generate more than one random value using Mersenne-Twister


By : user407696
Date : March 29 2020, 07:55 AM
hop of those help? random is an integer object. The value of an integer object does not change unless you set its value. What you're doing here is analogous to rolling a die, writing down the random result, then repeatedly read what you wrote, expecting the written result to change.
You can generate more than one random number by applying the generator object on the distribution function more than once:
code :
while (...)
    cout << dis(gen) << endl;
Random number generation in C using Mersenne twister

Random number generation in C using Mersenne twister


By : anth
Date : March 29 2020, 07:55 AM
wish of those help It doesn't seem like a good idea to re-seed your RNG that frequently. Most likely you'll seed it with the same timestamp each time, in which case you'll get the same 3 random numbers on each loop iteration. You should rather seed once and then use that.
A C-implementation of the Mersenne Twister is available here.
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