ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
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pm_distCov::onion_type Type Reference

This the derived type whose instances imply the use of the Onion algorithm for generating random covariance matrices as described in algorithm of Lewandowski et al. (2009).
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Public Attributes

integer(IK) info = 0_IK
 The scalar integer of default kind IK, whose non-zero value indicates the Cholesky factorization failure within the Onion method. More...
 

Detailed Description

This the derived type whose instances imply the use of the Onion algorithm for generating random covariance matrices as described in algorithm of Lewandowski et al. (2009).

See the documentation of pm_distCov for details.


Possible calling interfaces

type(onion_type), parameter :: onion
print *, onion%info
This module contains classes and procedures for generating random matrices distributed on the space o...
Definition: pm_distCov.F90:72
type(onion_type) onion
The scalar module variable object of type onion_type implying the use of the Onion algorithm for gene...
Definition: pm_distCov.F90:331
This the derived type whose instances imply the use of the Onion algorithm for generating random cova...
Definition: pm_distCov.F90:283
Note
See the documentation of getCovRand for example usage.
See also
gram
dvine
onion
gram_type
dvine_type
onion_type
getCovRand
setCovRand
Test:
test_pm_distCov


Final Remarks


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For details on the naming conventions, see this page.
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Author:
Amir Shahmoradi, Monday March 6, 2017, 3:22 pm, Institute for Computational Engineering and Sciences (ICES), The University of Texas at Austin.

Definition at line 283 of file pm_distCov.F90.

Member Data Documentation

◆ info

integer(IK) pm_distCov::onion_type::info = 0_IK

The scalar integer of default kind IK, whose non-zero value indicates the Cholesky factorization failure within the Onion method.

Definition at line 284 of file pm_distCov.F90.


The documentation for this type was generated from the following file: