ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
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pm_distExp.F90 File Reference

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Data Types

type  pm_distExp::distExp_type
 This is the derived type for signifying distributions that are of type Exponential as defined in the description of pm_distExp. More...
 
interface  pm_distExp::getExpLogPDF
 Generate and return the natural logarithm of the Probability Density Function (PDF) of the Exponential distribution for an input x within the support of the distribution \([\mu, +\infty)\). More...
 
interface  pm_distExp::setExpLogPDF
 Return the natural logarithm of the Probability Density Function (PDF) of the Exponential distribution for an input x within the support of the distribution \([\mu, +\infty)\). More...
 
interface  pm_distExp::getExpCDF
 Generate and return the Cumulative Distribution Function (CDF) of the Exponential distribution for an input x within the support of the distribution \([\mu, +\infty)\). More...
 
interface  pm_distExp::setExpCDF
 Return the Cumulative Distribution Function (CDF) of the Exponential distribution for an input x within the support of the distribution \([\mu, +\infty)\). More...
 
interface  pm_distExp::getExpRand
 Return a scalar (or array of arbitrary rank of) random value(s) from the Exponential distribution, optionally with the specified input location and scale parameters mu, sigma.
More...
 
interface  pm_distExp::setExpRand
 Return a scalar (or array of arbitrary rank of) random value(s) from the Exponential distribution, optionally with the specified input location and scale parameters mu, sigma.
More...
 

Modules

module  pm_distExp
 This module contains classes and procedures for computing various statistical quantities related to the Exponential distribution.
 

Variables

character(*, SK), parameter pm_distExp::MODULE_NAME = "@pm_distExp"