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* redistribute this software in source and binary code form, provided |
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* that the following conditions are met: |
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* |
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* 1. Acknowledgement of the program authors must be made in any |
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* publication of scientific results based in part on use of the |
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* program. An acceptable form of acknowledgement is citation of |
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* the article in which the program was described (Matthew |
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* A. Meineke, Charles F. Vardeman II, Teng Lin, Christopher |
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* J. Fennell and J. Daniel Gezelter, "OOPSE: An Object-Oriented |
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* Parallel Simulation Engine for Molecular Dynamics," |
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* J. Comput. Chem. 26, pp. 252-271 (2005)) |
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* |
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* 2. Redistributions of source code must retain the above copyright |
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* 1. Redistributions of source code must retain the above copyright |
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* notice, this list of conditions and the following disclaimer. |
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* |
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* 3. Redistributions in binary form must reproduce the above copyright |
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* 2. Redistributions in binary form must reproduce the above copyright |
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* notice, this list of conditions and the following disclaimer in the |
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* documentation and/or other materials provided with the |
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* distribution. |
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* arising out of the use of or inability to use software, even if the |
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* University of Notre Dame has been advised of the possibility of |
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* such damages. |
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* |
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* SUPPORT OPEN SCIENCE! If you use OpenMD or its source code in your |
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* research, please cite the appropriate papers when you publish your |
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* work. Good starting points are: |
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* |
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* [1] Meineke, et al., J. Comp. Chem. 26, 252-271 (2005). |
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* [2] Fennell & Gezelter, J. Chem. Phys. 124, 234104 (2006). |
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* [3] Sun, Lin & Gezelter, J. Chem. Phys. 128, 24107 (2008). |
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* [4] Kuang & Gezelter, J. Chem. Phys. 133, 164101 (2010). |
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* [5] Vardeman, Stocker & Gezelter, J. Chem. Theory Comput. 7, 834 (2011). |
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*/ |
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#ifndef MATH_RANDNUMGEN_HPP |
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#define MATH_RANDNUMGEN_HPP |
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|
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#include <vector> |
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#include "config.h" |
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#include "MersenneTwister.hpp" |
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#include "utils/simError.h" |
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|
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|
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namespace oopse { |
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namespace OpenMD { |
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|
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– |
|
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– |
|
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/** |
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* @class RandNumGen a random number generator class |
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*/ |
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} |
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|
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/** Returns a real number in [0,1] */ |
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double rand() { |
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RealType rand() { |
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return mtRand_->rand(); |
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} |
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|
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/** Returns a real number in [0, n] */ |
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double rand( const double& n ) { |
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RealType rand( const RealType& n ) { |
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return mtRand_->rand(n); |
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} |
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|
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/** Returns a real number in [0, 1) */ |
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double randExc() { |
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RealType randExc() { |
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return mtRand_->randExc(); |
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} |
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|
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/** Returns a real number in [0, n) */ |
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double randExc( const double& n ) { |
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RealType randExc( const RealType& n ) { |
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return mtRand_->randExc(n); |
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} |
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|
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/** Returns a real number in (0, 1) */ |
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double randDblExc() { |
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RealType randDblExc() { |
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return mtRand_->randDblExc(); |
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} |
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|
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/** Returns a real number in (0, n) */ |
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double randDblExc( const double& n ) { |
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RealType randDblExc( const RealType& n ) { |
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return mtRand_->randDblExc(n); |
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} |
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|
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return mtRand_->randInt(n); |
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} |
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|
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/** Returns a 53-bitreal number in [0,1) (capacity of IEEE double precision) */ |
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double rand53() { |
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/** Returns a 53-bitreal number in [0,1) (capacity of IEEE RealType precision) */ |
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RealType rand53() { |
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return mtRand_->rand53(); |
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} |
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|
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/** Access to nonuniform random number distributions */ |
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double randNorm( const double& mean, const double& variance) { |
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RealType randNorm( const RealType mean, const RealType variance) { |
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return mtRand_->randNorm(mean, variance); |
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} |
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|
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virtual void seed()= 0; |
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|
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protected: |
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– |
|
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MTRand* mtRand_; |
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|