27 #include <queso/GammaVectorRealizer.h> 
   28 #include <queso/GslVector.h> 
   29 #include <queso/GslMatrix.h> 
   34 template<
class V, 
class M>
 
   41   BaseVectorRealizer<V,M>(((std::string)(prefix)+
"gen").c_str(),unifiedImageSet,std::numeric_limits<unsigned int>::max()),
 
   58 template<
class V, 
class M>
 
   63 template<
class V, 
class M>
 
   72   double smallerOfMaxValues = imageBox->
maxValues().getMinValue();
 
   73   double smallerOfMinValues = imageBox->
minValues().getMinValue();
 
   76  if( smallerOfMinValues < 0 ) 
 
   78    std::cerr << 
"In GammaVectorRealizer<V,M>::realization()\n" 
   79        << 
"Gamma distribution is only defined in (0, infinity).\n" 
   80        << 
"The data provided is: \n" 
   82          << 
"Sampling will not cover all interval.\n" 
   98   bool outOfSupport = 
true;
 
  101   nextValues.cwSetGamma(m_a,m_b);
 
  102   outOfSupport = !(this->m_unifiedImageSet.contains(nextValues));
 
  104   } 
while (outOfSupport);
 
unsigned int displayVerbosity() const 
 
A templated class for handling sets. 
 
void realization(V &nextValues) const 
Draws a realization. 
 
GammaVectorRealizer(const char *prefix, const VectorSet< V, M > &unifiedImageSet, const V &a, const V &b)
Constructor. 
 
const BaseEnvironment & m_env
 
#define queso_require_greater_equal_msg(expr1, expr2, msg)
 
const V & maxValues() const 
Vector of the maximum values of the box subset. 
 
std::ofstream * subDisplayFile() const 
Access function for m_subDisplayFile (displays file on stream). 
 
A templated (base) class for handling sampling from vector RVs. 
 
const V & minValues() const 
Vector of the minimum values of the box subset. 
 
Class representing a subset of a vector space shaped like a hypercube. 
 
A class for handling sampling from a Gamma probability density distribution. 
 
~GammaVectorRealizer()
Destructor.