ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
See the latest version documentation. |
This module contains procedures and generic interfaces for refining (thinning) (weighted) arrays of arbitrary intrinsic types.
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Data Types | |
interface | getRefined |
Generate a refined version of the input array by the specified weight and skip .More... | |
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 .More... | |
Variables | |
character(*, SK), parameter | MODULE_NAME = "@pm_arrayRefine" |
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.
real
weights and without weights should be added in future.
Final Remarks ⛓
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For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
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character(*, SK), parameter pm_arrayRefine::MODULE_NAME = "@pm_arrayRefine" |
Definition at line 66 of file pm_arrayRefine.F90.