29 #include <queso/InfiniteDimensionalMeasureBase.h> 
   30 #include <queso/InfiniteDimensionalGaussian.h> 
   31 #include <queso/Environment.h> 
   32 #include <queso/FunctionBase.h> 
   33 #include <queso/OperatorBase.h> 
   65 #warning We never use the mean? 
const RngBase * rngObject() const 
Access to the RNG object. 
 
virtual unsigned int get_num_converged() const =0
Return the number of converged eigenpairs. 
 
virtual SharedPtr< FunctionBase >::Type draw()
Draw from the measure, and then return a shared pointer to the draw. 
 
Abstract base class for operator objects. Operators are assumed to be symmetric and positive-definite...
 
std::vector< double > coeffs
 
virtual double get_eigenvalue(unsigned int i) const =0
Return eigenvalue i. 
 
Abstract base class for infinite dimensional measures. 
 
~InfiniteDimensionalGaussian()
Destructor. 
 
const FullEnvironment & env
 
const OperatorBase & precision
 
This class sets up the full environment underlying the use of the QUESO library by an executable...
 
virtual double gaussianSample(double stdDev) const =0
Samples a value from a Gaussian distribution with standard deviation given by stdDev. 
 
InfiniteDimensionalGaussian(const FullEnvironment &env, const FunctionBase &mean, const OperatorBase &precision, double alpha, double beta)
Construct a Gaussian with mean mean, precision operator precision. alpha controls regularity of draws...
 
Abstract base class for function objects. 
 
virtual double get_kl_coefficient(unsigned int i) const 
Return coefficient i of the KL expansion of the current draw. Must be called after draw() ...
 
virtual SharedPtr< FunctionBase >::Type inverse_kl_transform(std::vector< double > &xi, double alpha) const =0
Given coefficients xi, computes the Karhunen-Loeve transform.