// [[Rcpp::depends(BH)]]
/*!
 * 
 *
 * \brief       Implements the negative exponential distribution
 * 
 * 
 *
 * \author      O. Krause
 * \date        2010-01-01
 *
 *
 * \par Copyright 1995-2015 Shark Development Team
 * 
 * <BR><HR>
 * This file is part of Shark.
 * <http://image.diku.dk/shark/>
 * 
 * Shark is free software: you can redistribute it and/or modify
 * it under the terms of the GNU Lesser General Public License as published 
 * by the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 * 
 * Shark is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU Lesser General Public License for more details.
 * 
 * You should have received a copy of the GNU Lesser General Public License
 * along with Shark.  If not, see <http://www.gnu.org/licenses/>.
 *
 */
#ifndef SHARK_RNG_NEGEXPONENTIAL_H
#define SHARK_RNG_NEGEXPONENTIAL_H




#include <boost/random/exponential_distribution.hpp>

#include <cmath>

namespace shark{

	///\brief Implements the Negative exponential distribution.
	///
	/// It's propability distribution is defined as
	/// \f[ p(x) = e^{-\lambda x}\f]
	/// Instead of lambda, we define the exponential distribution using the mean 
	/// \f[ \mu = 1.0/\lambda \f]
	template<typename RngType = shark::DefaultRngType>
	class NegExponential:public boost::variate_generator<RngType*,boost::exponential_distribution<> >
	{
	private:
		typedef boost::variate_generator<RngType*,boost::exponential_distribution<> > Base;
	public:
	
		NegExponential( RngType & rng, double mean = 0 )
			:Base(&rng,boost::exponential_distribution<>(1.0/mean))
		{}

		using Base::operator();

		///\brief Draws a random number from the negative exponential distribution with the mean defined in the argument
		///
		///\param mean: the mean of the distribution from which the number is drawn
		double operator()(double mean)
		{
			boost::exponential_distribution<> dist(1.0/mean);
			return dist(Base::engine());
		}

		///\brief Returns the mean of the negative exponential distribution
		double mean()const
		{
			return 1.0/Base::distribution().lambda();
		}
		///\brief Sets the mean of the negative exponential distribution
		///
		///\param newMean the new Mean value
		void mean(double newMean)
		{
			Base::distribution()=boost::exponential_distribution<>(1.0/newMean);
		}

		double p(double x)
		{
			return x >= 0 ? Base::distribution().lambda() * exp(- Base::distribution().lambda() * x) : 0.;
		}

	};
}
#endif







