Generate and return a reweighting of the input weight vector, such that the sequence represented by output reweight is the refined (skipped by the amount skip) version of the sequence represented by the input weight.
The following examples illustrate the specific functioning of this generic interface:
skip: 1
Weight: 5, 0, 1, 3, 1
RefinedWeight: 5, 0, 1, 3, 1
skip: 2
Weight: 5, 0, 1, 3, 1
RefinedWeight: 3, 0, 0, 2, 0
skip: 3
Weight: 5, 0, 1, 3, 1
RefinedWeight: 2, 0, 0, 1, 1
- Parameters
-
| [in,out] | weight | : The input/output contiguous array of shape (:) of
-
type
integer of default kind IK,
-
type
integer of kind any supported by the processor (e.g., IK, IK8, IK16, IK32, or IK64),
-
type
real of kind any supported by the processor (e.g., RK, RK32, RK64, or RK128),
containing the weights that are to be reweighted (refined).
On output, each element of weight is reset to the refined value (or zero if the element does not contribute to the refinement).
Non-positive values are allowed, but ignored by definition and reset to zero in the output reweight.
|
| [in] | skip | : The input scalar of the same type and kind as the input weight, representing the size of the skip in the sequence whose weight is given as input.
If the input weight is of type integer of default kind IK, then skip can be also of type real of kind any supported by the processor (e.g., RK, RK32, RK64, or RK128).
|
Possible calling interfaces ⛓
Generate and return a reweighting of the input weight vector, such that the sequence represented by o...
This module contains the types, classes, and procedures relevant to weights of random samples.
- Warning
- The condition
0 < skip must hold.
These conditions are verified only if the library is built with the preprocessor macro CHECK_ENABLED=1.
-
The
pure procedure(s) documented herein become impure when the ParaMonte library is compiled with preprocessor macro CHECK_ENABLED=1.
By default, these procedures are pure in release build and impure in debug and testing builds.
- Developer Remark:
- The term
reweight here stands for refined weight.
- See also
- getReweight
setReweight
getRefined
setRefined
getCompact
setCompact
getVerbose
Example usage ⛓
10 type(display_type) :: disp
11 integer(IK) :: lenwei, itry, ntry
= 10
16 integer(IKG),
allocatable :: weight(:)
19 call disp%show(
"lenwei = getUnifRand(0, 9); skip = getUnifRand(1, 4)")
25 call disp%show(
"weight = getUnifRand(-1, 9, lenwei)")
29 call disp%show(
"call setReweight(weight, skip)")
39 real(RKG),
allocatable :: weight(:)
42 call disp%show(
"lenwei = getUnifRand(0, 9); skip = getUnifRand(.1_RKG, 4._RKG)")
48 call disp%show(
"weight = getUnifRand(-1._RKG, 9._RKG, lenwei)")
52 call disp%show(
"call setReweight(weight, skip)")
Generate and return a scalar or a contiguous array of rank 1 of length s1 of randomly uniformly distr...
This is a generic method of the derived type display_type with pass attribute.
This is a generic method of the derived type display_type with pass attribute.
This module contains classes and procedures for computing various statistical quantities related to t...
This module contains classes and procedures for input/output (IO) or generic display operations on st...
type(display_type) disp
This is a scalar module variable an object of type display_type for general display.
This module defines the relevant Fortran kind type-parameters frequently used in the ParaMonte librar...
integer, parameter LK
The default logical kind in the ParaMonte library: kind(.true.) in Fortran, kind(....
integer, parameter IK
The default integer kind in the ParaMonte library: int32 in Fortran, c_int32_t in C-Fortran Interoper...
integer, parameter SK
The default character kind in the ParaMonte library: kind("a") in Fortran, c_char in C-Fortran Intero...
integer, parameter RKS
The single-precision real kind in Fortran mode. On most platforms, this is an 32-bit real kind.
Generate and return an object of type display_type.
Example Unix compile command via Intel ifort compiler ⛓
3ifort -fpp -standard-semantics -O3 -Wl,-rpath,../../../lib -I../../../inc main.F90 ../../../lib/libparamonte* -o main.exe
Example Windows Batch compile command via Intel ifort compiler ⛓
2set PATH=..\..\..\lib;%PATH%
3ifort /fpp /standard-semantics /O3 /I:..\..\..\include main.F90 ..\..\..\lib\libparamonte*.lib /exe:main.exe
Example Unix / MinGW compile command via GNU gfortran compiler ⛓
3gfortran -cpp -ffree-line-length-none -O3 -Wl,-rpath,../../../lib -I../../../inc main.F90 ../../../lib/libparamonte* -o main.exe
Example output ⛓
20+7,
+2,
+3,
+7,
+9,
+1,
+5
23+2,
+1,
+1,
+2,
+3,
+0,
+2
80+6,
+2,
+2,
+7,
+6,
+4,
+9
83+2,
+0,
+1,
+2,
+2,
+2,
+3
92+4,
+0,
+9,
+8,
+7,
+0,
+9,
+2
95+2,
+0,
+4,
+4,
+4,
+0,
+4,
+1
116-1,
+8,
+3,
+6,
+2,
+7,
+9,
+7
119+0,
+8,
+3,
+6,
+2,
+7,
+9,
+7
140+5.29667139,
+1.56383944,
+2.72366333,
+1.28160489,
+5.86517286,
+2.22561789,
+4.99716711,
+2.23155975
143+4.00000000,
+2.00000000,
+2.00000000,
+1.00000000,
+6.00000000,
+2.00000000,
+4.00000000,
+2.00000000
152-0.160615206,
+3.36824846,
+5.26436377,
+0.989632189,
+1.83477354
155+0.00000000,
+0.00000000,
+2.00000000,
+0.00000000,
+1.00000000
164+5.91345215,
-0.807482958,
+3.53444910,
+6.69014311,
+0.827664912,
+2.81560850,
+5.09576607,
+1.02904344,
+8.87123775
167+3.00000000,
+0.00000000,
+2.00000000,
+4.00000000,
+0.00000000,
+2.00000000,
+3.00000000,
+0.00000000,
+5.00000000
176+6.37375069,
+7.16565657,
+8.79492855,
+8.81333351,
+7.50499916,
+0.189296782,
+3.56442881
179+2.00000000,
+2.00000000,
+3.00000000,
+3.00000000,
+2.00000000,
+0.00000000,
+1.00000000
200+4.01798248,
-0.501243234
203+1.00000000,
+0.00000000
212+0.263098717,
+7.40139198,
+8.03550053,
+7.99197483,
+7.64603472,
+3.04673672
215+0.00000000,
+13.0000000,
+14.0000000,
+14.0000000,
+14.0000000,
+5.00000000
224-0.921573400,
+4.78940058,
+2.61524105,
+6.97922707,
-0.521253109
227+0.00000000,
+1.00000000,
+1.00000000,
+2.00000000,
+0.00000000
236+2.40631104,
-0.306417108,
+7.20229340,
+6.95520353
239+1.00000000,
+0.00000000,
+4.00000000,
+3.00000000
- Test:
- test_pm_sampleWeight
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
-
If you use any parts or concepts from this library to any extent, please acknowledge the usage by citing the relevant publications of the ParaMonte library.
-
If you regenerate any parts/ideas from this library in a programming environment other than those currently supported by this ParaMonte library (i.e., other than C, C++, Fortran, MATLAB, Python, R), please also ask the end users to cite this original ParaMonte library.
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.
- Copyright
- Computational Data Science Lab
- Author:
- Amir Shahmoradi, Saturday 1:48 AM, August 20, 2016, Institute for Computational Engineering and Sciences, UT Austin, TX
Definition at line 640 of file pm_sampleWeight.F90.
1.9.3