QuantLib_InverseCumulativeRng man page

InverseCumulativeRng< RNG, IC > — Inverse cumulative random number generator.  

Synopsis

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

Public Types

typedef Sample< Real > sample_type
typedef RNG urng_type

Public Member Functions

InverseCumulativeRng (const RNG &uniformGenerator)
sample_type next () const
returns a sample from a Gaussian distribution

Detailed Description

template<class RNG, class IC>

class QuantLib::InverseCumulativeRng< RNG, IC >" Inverse cumulative random number generator.

It uses a 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 is supplied by RNG.

Class RNG must implement the following interface:

RNG::sample_type RNG::next() const;

The inverse cumulative distribution is supplied by IC.

Class IC must implement the following interface:

IC::IC();
Real IC::operator() const;

Author

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Referenced By

The man page InverseCumulativeRng(3) is an alias of QuantLib_InverseCumulativeRng(3).

Wed Aug 2 2017 Version 1.10 QuantLib