bdm::mlognorm Class Reference

Log-Normal random walk. More...

---

Detailed Description

Log-Normal random walk.

Mean value, , is...

#include <exp_family.h>

List of all members.

Public Member Functions
	mlognorm ()
	Constructor.
void	set_parameters (int size, double k)
	Set value of k.
void	condition (const vec &val)
	Update iepdf so that it represents this mpdf conditioned on rvc = cond This function provides convenient reimplementation in offsprings.
void	from_setting (const Setting &set)
elognorm &	e ()
	access function to iepdf
vec	samplecond (const vec &cond)
	Reimplements samplecond using condition().
double	evallogcond (const vec &val, const vec &cond)
	Reimplements evallogcond using condition().
virtual vec	evallogcond_m (const mat &Dt, const vec &cond)
	Efficient version of evallogcond for matrices.
virtual vec	evallogcond_m (const Array< vec > &Dt, const vec &cond)
	Efficient version of evallogcond for Array<vec>.
virtual mat	samplecond_m (const vec &cond, int N)
	Efficient version of samplecond.
virtual string	to_string ()
	This method returns a basic info about the current instance.
virtual void	to_setting (Setting &set) const
	This method save all the instance properties into the Setting structure.
virtual void	validate ()
	This method TODO.
Access to attributes
const RV &	_rv () const
const RV &	_rvc () const
int	dimension () const
int	dimensionc ()
Connection to other objects
void	set_rvc (const RV &rvc0)
void	set_rv (const RV &rv0)
bool	isnamed ()
Protected Member Functions
void	set_ep (epdf &iepdf)
	set internal pointer ep to point to given iepdf
void	set_ep (epdf *iepdfp)
	set internal pointer ep to point to given iepdf
Protected Attributes
double	sig2
	parameter 1/2*sigma^2
vec &	mu
	access
elognorm	iepdf
	Internal epdf used for sampling.
int	dimc
	dimension of the condition
RV	rvc
	random variable in condition

---

Member Function Documentation

void bdm::mlognorm::from_setting

(

const Setting &

set

)

[virtual]

Create logNormal random Walk

from structure

                class = 'mlognorm';
                k   = 0.1;               // "variance" k
                mu0 = 0.1;               // Initial value of mean
                rv  = RV({'name'})       // description of RV
                rvc = RV({'name'})       // description of RV in condition

Reimplemented from bdm::mpdf.

References condition(), bdm::UI::get(), and set_parameters().

---

The documentation for this class was generated from the following files:

• exp_family.h
• exp_family.cpp