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ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
See the latest version documentation. |
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ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
See the latest version documentation. |
Go to the source code of this file.
Data Types | |
| type | pm_distLogUnif::distLogUnif_type |
| This is the derived type for signifying distributions that are of type LogUniform as defined in the description of pm_distLogUnif. More... | |
| interface | pm_distLogUnif::getLogUnifPDFNF |
| Generate and return the normalization factor of the PDF of the LogUniform distribution for an input parameter set \((x_\mathrm{min}, x_\mathrm{max})\). More... | |
| interface | pm_distLogUnif::getLogUnifPDF |
Generate and return the Probability Density Function (PDF) of the LogUniform distribution for an input x within the support of the distribution \(x \in [0 < x_\mathrm{min}, x_\mathrm{max} < +\infty]\).More... | |
| interface | pm_distLogUnif::setLogUnifPDF |
Return the Probability Density Function (PDF) of the LogUniform distribution for an input x within the support of the distribution \(x \in [0 < x_\mathrm{min}, x_\mathrm{max} < +\infty]\).More... | |
| interface | pm_distLogUnif::getLogUnifCDF |
Generate and return the Cumulative Distribution Function (CDF) of the LogUniform distribution for an input log(x) within the support of the distribution \(x \in [0 < x_\mathrm{min}, x_\mathrm{max} < +\infty]\).More... | |
| interface | pm_distLogUnif::setLogUnifCDF |
Return the Cumulative Distribution Function (CDF) of the LogUniform distribution for an input log(x) within the support of the distribution \(x \in [0 < x_\mathrm{min}, x_\mathrm{max} < +\infty]\). More... | |
| interface | pm_distLogUnif::getLogUnifLogQuan |
| Generate and return a scalar (or array of arbitrary rank) of the natural logarithm(s) of quantile corresponding to the specified CDF of LogUniform distribution with parameters \((x_\mathrm{min}, x_\mathrm{max})\). More... | |
| interface | pm_distLogUnif::setLogUnifLogQuan |
| Return a scalar (or array of arbitrary rank) of the natural logarithm(s) of quantile corresponding to the specified CDF of LogUniform distribution with parameters \((x_\mathrm{min}, x_\mathrm{max})\). More... | |
| interface | pm_distLogUnif::getLogUnifRand |
| Generate and return a scalar (or array of arbitrary rank) of random value(s) from the LogUniform distribution with parameters \((x_\mathrm{min}, x_\mathrm{max})\). More... | |
| interface | pm_distLogUnif::setLogUnifLogRand |
| Return a scalar (or array of arbitrary rank) of the natural logarithm(s) of random value(s) from the LogUniform distribution with parameters \((x_\mathrm{min}, x_\mathrm{max})\). More... | |
Modules | |
| module | pm_distLogUnif |
| This module contains classes and procedures for computing various statistical quantities related to the LogUniform (or Reciprocal) distribution. | |
Variables | |
| character(*, SK), parameter | pm_distLogUnif::MODULE_NAME = "@pm_distLogUnif" |
1.9.3