ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
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Data Types | |
type | pm_distanceEuclid::euclid_type |
This is a concrete derived type whose instances are exclusively used to request safe method of computing Euclidean distances (without undue overflow or underflow). More... | |
type | pm_distanceEuclid::euclidu_type |
This is a concrete derived type whose instances are exclusively used to request unsafe method of computing Euclidean distances (with the possibility of undue overflow or underflow). More... | |
type | pm_distanceEuclid::euclidv_type |
This is a concrete derived type whose instances are exclusively used to request computing Euclidean volumes (with the possible risk of overflow or underflow). More... | |
type | pm_distanceEuclid::euclidsq_type |
This is a concrete derived type whose instances are exclusively used to request computing Euclidean squared-distances (with the possible risk of overflow or underflow). More... | |
interface | pm_distanceEuclid::getDisEuclid |
Generate and return the (squared) Euclidean distance of a (set of) point(s) in ndim -dimensions from a reference point (possibly origin), optionally robustly without underflow or overflow.More... | |
interface | pm_distanceEuclid::setDisEuclid |
Generate and return the (squared) Euclidean distance of a (set of) point(s) in ndim -dimensions from a reference point (possibly origin), optionally robustly without underflow or overflow.More... | |
interface | pm_distanceEuclid::getDisMatEuclid |
Return the full or a subset of the Euclidean (squared) distance matrix of the input set of npnt points in ndim dimensions. More... | |
interface | pm_distanceEuclid::setDisMatEuclid |
Return the full or a subset of the Euclidean (squared) distance matrix of the input set of npnt points in ndim dimensions. More... | |
Modules | |
module | pm_distanceEuclid |
This module contains procedures and generic interfaces for computing the Euclidean norm of a single point (with respect to origin or a given reference) or the pairwise Euclidean distances (squared) of a collection of points with respect to another set of reference points, optionally without undue overflow or underflow. | |
Variables | |
character(*, SK), parameter | pm_distanceEuclid::MODULE_NAME = "@pm_distanceEuclid" |
type(euclid_type), parameter | pm_distanceEuclid::euclid = euclid_type() |
This is a scalar parameter object of type euclid_type that is exclusively used to request safe method of computing Euclidean distances (without undue overflow or underflow).More... | |
type(euclidu_type), parameter | pm_distanceEuclid::euclidu = euclidu_type() |
This is a scalar parameter object of type euclidu_typethat is exclusively used to request unsafe method of computing Euclidean distances (with the possibility of undue overflow or underflow).More... | |
type(euclidv_type), parameter | pm_distanceEuclid::euclidv = euclidv_type() |
This is a scalar parameter object of type euclidv_typethat is exclusively used to request computing Euclidean squared-distances (without undue overflow or underflow).More... | |
type(euclidsq_type), parameter | pm_distanceEuclid::euclidsq = euclidsq_type() |
This is a scalar parameter object of type euclidsq_typethat is exclusively used to request computing Euclidean squared-distances (without undue overflow or underflow).More... | |