ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
See the latest version documentation. |
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Data Types | |
type | Partition_mod::BaseProp_type |
Abstract class containing the basic properties of partitions that are common between the exploration stage and the final output partitions. More... | |
type | Partition_mod::ParProp_type |
The base class for generating objects that hold partition properties at any given level of partitioning based on either volume or density criterion. More... | |
type | Partition_mod::ParPropTry_type |
The subclass for generating objects that hold partition properties at any given level of partitioning based for any partitioning criterion. More... | |
type | Partition_mod::ParPropTryVol_type |
The subclass for generating objects that hold partition properties at any given level of partitioning based on the volume criterion. More... | |
type | Partition_mod::ParPropTryDen_type |
The subclass for generating objects that hold partition properties at any given level of partitioning based on the density criterion. More... | |
type | Partition_mod::KmeansTry_type |
The base class for generating a vector of Kmeans objects that hold the properties of different Kmeans attempts at any given level of partitioning. More... | |
type | Partition_mod::PartitionBase_type |
The class for generating objects that hold the final output partition properties. More... | |
type | Partition_mod::Partition_type |
The Partition_type abstract class for Partition derived types. Partitions an input array Point(nd,np) with nd attributes and np observations (points). More... | |
interface | Partition_mod::getPartition_proc |
interface | Partition_mod::write_proc |
interface | Partition_mod::PartitionMaxDen_type |
The PartitionMaxDen_type class. More... | |
type | Partition_mod::Method_type |
The Method_type class for specifying which minimum-volume partitioning method to be used. More... | |
interface | Partition_mod::PartitionMinVol_type |
The PartitionMinVol_type class. More... | |
Modules | |
module | Partition_mod |
This module contains procedures and routines for ellipsoidal partitioning of a given set of points by either minimizing the volumes of the bounding ellipsoids or maximizing their densities, when an estimate of density is provided by the user. | |
Functions/Subroutines | |
real(RK) function, dimension(npmin:npmax) | Partition_mod::getBiasCorrectionScaleFactorSq (nd, npmin, npmax) |
PURE real(RK) function | Partition_mod::getLogLikeFitness (count, logVolRatio) |
Variables | |
character(*, SK), parameter | Partition_mod::MODULE_NAME = "@Partition_mod" |