ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
See the latest version documentation.
pm_arrayRefine Module Reference

This module contains procedures and generic interfaces for refining (thinning) (weighted) arrays of arbitrary intrinsic types.

Data Types

interface  getRefined
 Generate a refined version of the input array by the specified weight and skip.
interface  setRefined
 Generate a refined version of the input array where the sequentially unweighted entries along the specified dimension of array are skipped every skip to create a refined weighted output array of size rsize.


character(*, SK), parameter MODULE_NAME = "@pm_arrayRefine"

Detailed Description

This module contains procedures and generic interfaces for refining (thinning) (weighted) arrays of arbitrary intrinsic types.

Refinement in the context of this module means skipping through (weighted) array elements by a certain skip amount.
Refining unweighted arrays is straightforward in Fortran as there is an intrinsic slicing syntax for it.
However, the task can become cumbersome for weighted arrays.
This module aims to facilitate refinement of weighted arrays.

See pm_arrayCopy for refining unweighted strings and arrays.
See also
Normal Priority: Interfaces for real weights and without weights should be added in future.

Final Remarks

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This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.

Amir Shahmoradi, Saturday 1:48 AM, August 20, 2016, Institute for Computational Engineering and Sciences, UT Austin, TX

Variable Documentation


character(*, SK), parameter pm_arrayRefine::MODULE_NAME = "@pm_arrayRefine"

Definition at line 66 of file pm_arrayRefine.F90.