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dft_tools/doc/reference/c++/mctools/random.rst
Olivier Parcollet f2c7d449cc First commit : triqs libs version 1.0 alpha1
for earlier commits, see TRIQS0.x repository.
2013-07-17 19:24:07 +02:00

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.. highlight:: c
.. _random:
Random number generator
-----------------------
Generic use
***********
TRIQS comes with a set of random number generators implemented in the class
``random_generator``. Here's an example illustrating the
use of the generator::
#include <iostream>
#include <triqs/mc_tools/random_generator.hpp>
int main() {
// Construct a random number generator
triqs::mc_tools::random_generator RNG("mt19937", 23432);
// Generate double numbers in [0,1[
for (size_t i = 0; i < 100; i++) std::cout << RNG() << " ";
std::cout << std::endl << std::endl;
// Generate double numbers in [0,5[
for (size_t i = 0; i < 100; i++) std::cout << RNG(5.0) << " ";
std::cout << std::endl << std::endl;
// Generate int numbers in [0,5[
for (size_t i = 0; i < 100; i++) std::cout << RNG(5) << " ";
std::cout << std::endl << std::endl;
return 0;
}
After having included the header
:file:`<triqs/mc_tools/random_generator.hpp>` one constructs a
random generator with::
triqs::mc_tools::random_generator RNG("mt19937", 23432);
The first argument is a string which allows you to select the generator. Here
mt19937 stands for a version of a Mersenne Twister. The second argument is
the random seed.
Now that you have an instance of a generator ``RNG``, you can generate
either ``double`` numbers or ``int`` numbers. If ``RNG()`` is just called
with parenthesis, it produces numbers uniformly distributed on the
interval :math:`[0,1[`. If there is a ``double`` argument ``D``, then
numbers are produced uniformly on :math:`[0,D]`. Finally, if there is
a ``int`` argument ``I``, integer numbers are generated on :math:`[0,I[`.
Getting a list of random number generators
******************************************
In order to have a list of all the strings describing the available random
generators, you can call the static method ``random_generator_names``. For
example::
#include <iostream>
#include <triqs/mc_tools/random_generator.hpp>
int main() {
std::cout << "A list of all random generators" << std::endl << std::endl;
std::cout << triqs::mc_tools::random_generator::random_generator_names() << std::endl;
return 0;
}
Accessing the random number generator from the Monte Carlo class
****************************************************************
When you construct an instance of a Monte Carlo class ``mc_generic``, this
instance automatically has an access to a random number generator.
Imagine you constructed an instance::
triqs::mc_tools::mc_generic<double> SpinMC(N_Cycles, Length_Cycle, N_Warmup_Cycles,
Random_Name, Random_Seed, Verbosity);
Now, you can use ``SpinMC`` to have a random number generator::
triqs::mc_tools::random_generator RNG = SpinMC.RandomGenerator;
Typically, this generator will be passed as a argument to your
implementation of a move::
SpinMC.add_move(mymove(config, SpinMC.RandomGenerator, ...), "my move")