| 1 | /*
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| 2 |  * Project: MoleCuilder
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| 3 |  * Description: creates and alters molecular systems
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| 4 |  * Copyright (C)  2010 University of Bonn. All rights reserved.
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| 5 |  * Please see the LICENSE file or "Copyright notice" in builder.cpp for details.
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| 6 |  */
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| 7 | 
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| 8 | /**
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| 9 |  * \file randomnumbers.dox
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| 10 |  *
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| 11 |  * Created on: Oct 28, 2011
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| 12 |  *    Author: heber
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| 13 |  */
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| 14 | 
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| 15 | /** \page randomnumbers Random Number Generation
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| 16 |  *
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| 17 |  * There is a factory for random number generators present. This implementation
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| 18 |  * has been necessary due to lack of a common interface on the side of the
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| 19 |  * boost::random programmer. Hence, we added a RandomNumberInterface for both
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| 20 |  * engine and distribution and a factory for both and finally the conglomerate
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| 21 |  * for combining both into a single RandomNumberGenerator.
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| 22 |  *
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| 23 |  * Whereever random numbers should be picked with a varying distribution or
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| 24 |  * even better a user-controlled one, this RandomNumberGenerator should be
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| 25 |  * used, e.g. as this
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| 26 |  * \code
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| 27 |  * RandomNumberGenerator &random = RandomNumberGeneratorFactory::getInstance().makeRandomNumberGenerator();
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| 28 |  * const double rng_min = random.min();
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| 29 |  * const double rng_max = random.max();
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| 30 |  * \endcode
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| 31 |  * This returns a reference to a random number generator instance. And also we obtain
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| 32 |  * its RandomNumberGenerator::min() and RandomNumberGenerator::max() values.
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| 33 |  * Then, we may create random values as simple as this:
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| 34 |  * \code
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| 35 |  * double random_value = (random()/((rng_max-rng_min)/2.) - 1.);
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| 36 |  * \endcode
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| 37 |  * which creates a random value within [-1,1]. Note that random() here is
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| 38 |  * RandomNumberGenerator::operator() and not some global function.
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| 39 |  *
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| 40 |  * \note Do not necessarily use the random number generation when just a uniform
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| 41 |  * distribution is required. The implementation is especially designed to allow
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| 42 |  * the user control over the random number distribution. E.g. when filling the void
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| 43 |  * space in a simulation box with molecules he may choose a discrete distribution
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| 44 |  * with a small number of values to have a few, but random orientations of the
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| 45 |  * molecules (MoleculeFillVoidWithMoleculeAction()).
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| 46 |  *
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| 47 |  * \date 2011-10-31
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| 48 |  *
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| 49 |  */
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