/usr/include/trilinos/ROL

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//               Rapid Optimization Library (ROL) Package
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#ifndef ROL_EXPONENTIAL_HPP
#define ROL_EXPONENTIAL_HPP

#include "ROL_Distribution.hpp"
#include "Teuchos_ParameterList.hpp"

namespace ROL {

template<class Real>
class Exponential : public Distribution<Real> {
private:
  Real loc_;
  Real scale_;

  size_t compute_coeff(const size_t m, const size_t k) const {
    if ( k == 0 || m == 0 || m == 1 ) {
      return 1;
    }
    size_t val = 1;
    for (size_t i = m-k; i < m; i++) {
      val *= (i+1);
    }
    return val;
  }

public: 
  Exponential(const Real loc = 0., const Real scale = 1.)
    : loc_(loc), scale_((scale>0.) ? scale : 1.) {}

  Exponential(Teuchos::ParameterList &parlist) {
    loc_   = parlist.sublist("SOL").sublist("Distribution").sublist("Exponential").get("Location",0.);
    scale_ = parlist.sublist("SOL").sublist("Distribution").sublist("Exponential").get("Scale",1.);
    scale_ = (scale_ > 0.) ? scale_ : 1.;
  }

  Real evaluatePDF(const Real input) const {
    return ((input >= loc_) ? scale_*std::exp(-scale_*(input-loc_)) : 0.);
  }

  Real evaluateCDF(const Real input) const {
    return ((input >= loc_) ? 1.-std::exp(-scale_*(input-loc_)) : 0.);
  }

  Real integrateCDF(const Real input) const {
    return ((input >= loc_) ?
      (input-loc_) - (1.-std::exp(-scale_*(input-loc_)))/scale_ : 0.);
  }

  Real invertCDF(const Real input) const {
    return -std::log(1.-input)/scale_;
  }

  Real moment(const size_t m) const {
    Real val = 0., coeff = 0.;
    for (size_t i = 0; i < m+1; i++) {
      coeff = compute_coeff(m,i);
      val  += coeff*std::pow(loc_,(Real)(m-i))/std::pow(scale_,(Real)i);
    } 
    return val;
  }

  Real lowerBound(void) const {
    return 0.;
  }

  Real upperBound(void) const {
    return ROL_INF<Real>();
  }
 
  void test(std::ostream &outStream = std::cout ) const {
    size_t size = 3;
    std::vector<Real> X(size,0.);
    std::vector<int> T(size,0);
    X[0] = loc_-4.0*(Real)rand()/(Real)RAND_MAX;
    T[0] = 0;
    X[1] = loc_;
    T[1] = 1;
    X[2] = loc_+4.0*(Real)rand()/(Real)RAND_MAX;
    T[2] = 0;
    Distribution<Real>::test(X,T,outStream);
  }
};

}

#endif
libtrilinos-rol-dev 12.10.1-3 / usr / include / trilinos / ROL_Exponential.hpp
