QuantLib
A free/open-source library for quantitative finance
Reference manual - version 1.20
Public Types | Public Member Functions | List of all members
InverseCumulativeRsg< USG, IC > Class Template Reference

Inverse cumulative random sequence generator. More...

#include <ql/math/randomnumbers/inversecumulativersg.hpp>

Public Types

typedef Sample< std::vector< Real > > sample_type
 

Public Member Functions

 InverseCumulativeRsg (const USG &uniformSequenceGenerator)
 
 InverseCumulativeRsg (const USG &uniformSequenceGenerator, const IC &inverseCumulative)
 
const sample_typenextSequence () const
 returns next sample from the inverse cumulative distribution
 
const sample_typelastSequence () const
 
Size dimension () const
 

Detailed Description

template<class USG, class IC>
class QuantLib::InverseCumulativeRsg< USG, IC >

Inverse cumulative random sequence generator.

It uses a sequence of uniform deviate in (0, 1) as the source of cumulative distribution values. Then an inverse cumulative distribution is used to calculate the distribution deviate.

The uniform deviate sequence is supplied by USG.

Class USG must implement the following interface:

USG::sample_type USG::nextSequence() const;
Size USG::dimension() const;

The inverse cumulative distribution is supplied by IC.

Class IC must implement the following interface:

IC::IC();
Real IC::operator() const;
Examples
DiscreteHedging.cpp.