ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
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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" |