ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
See the latest version documentation.
pm_complexMinMax::min Interface Reference

Generate and return the component-wise minimum value of (both real and imaginary parts of) the input complex. More...

Detailed Description

Generate and return the component-wise minimum value of (both real and imaginary parts of) the input complex.

Parameters
[in]a1: The input scalar or array of arbitrary rank of type complex of kind any supported by the processor (e.g., CK, CK32, CK64, or CK128).
[in]a2: The input scalar or array of arbitrary rank of the same type and kind as a1.
Returns
val : The output scalar or array of the same rank and shape as a1 whose real and imaginary parts are set to the minimum values of the corresponding real and imaginary parts of the input a1 and a2.


Possible calling interfaces ⛓

use pm_complexMinMax, only: min
val = min(a1, a2) ! = cmplx(min(a1%re, a2%re), min(a1%im, a2%im), kind(a1))
pm_complexMinMax::min
Generate and return the component-wise minimum value of (both real and imaginary parts of) the input ...
Definition: pm_complexMinMax.F90:103
pm_complexMinMax
This module contains procedures and generic interfaces for computing element-wise minimum/maximum val...
Definition: pm_complexMinMax.F90:45
Remarks
The procedures under discussion are pure.
The procedures under discussion are elemental.
See also
min
max
minval
maxval
minloc
maxloc
pm_complexCompareAll
pm_complexCompareAny
pm_complexCompareLex
pm_arrayMinMax
pm_mathMinMax


Example usage ⛓

1program example
2
3 use pm_kind, only: SK, IK
4 use pm_complexMinMax, only: min
5 use pm_distUnif, only: getUnifRand
6 use pm_io, only: display_type
7
8 implicit none
9
10 integer(IK) :: lb, ub, lenarr
11 integer(IK) :: itry, ntry = 5
12 type(display_type) :: disp
13 disp = display_type(file = "main.out.F90")
14
15 block
16 use pm_kind, only: CKG => CKS
17 complex(CKG) :: a1, a2
18 complex(CKG), allocatable :: array1(:)
19 call disp%skip()
20 do itry = 1, ntry
21 call disp%show("lb = -9; ub = +9")
22 lb = -9; ub = +9
23 call disp%show("a1 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)")
24 a1 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
25 call disp%show("a2 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)")
26 a2 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
27 call disp%show("[a1, a2]")
28 call disp%show( [a1, a2] )
29 call disp%show("min(a1, a2)")
30 call disp%show( min(a1, a2) )
31 call disp%show("lenarr = getUnifRand(2, 5)")
32 lenarr = getUnifRand(2, 5)
33 call disp%show("array1 = getUnifRand((-9._CKG, -9._CKG), (+9._CKG, +9._CKG), lenarr)")
34 array1 = getUnifRand((-9._CKG, -9._CKG), (+9._CKG, +9._CKG), lenarr)
35 call disp%show("min(array1, a2)")
36 call disp%show( min(array1, a2) )
37 call disp%show("min(a2, array1)")
38 call disp%show( min(a2, array1) )
39 call disp%skip()
40 end do
41 end block
42
43 block
44 use pm_kind, only: CKG => CKD
45 complex(CKG), allocatable :: array1(:)
46 complex(CKG) :: a1, a2
47 call disp%skip()
48 do itry = 1, ntry
49 call disp%show("lb = -9; ub = +9")
50 lb = -9; ub = +9
51 call disp%show("a1 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)")
52 a1 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
53 call disp%show("a2 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)")
54 a2 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
55 call disp%show("[a1, a2]")
56 call disp%show( [a1, a2] )
57 call disp%show("min(a1, a2)")
58 call disp%show( min(a1, a2) )
59 call disp%show("lenarr = getUnifRand(2, 5)")
60 lenarr = getUnifRand(2, 5)
61 call disp%show("array1 = getUnifRand((-9._CKG, -9._CKG), (+9._CKG, +9._CKG), lenarr)")
62 array1 = getUnifRand((-9._CKG, -9._CKG), (+9._CKG, +9._CKG), lenarr)
63 call disp%show("min(array1, a2)")
64 call disp%show( min(array1, a2) )
65 call disp%show("min(a2, array1)")
66 call disp%show( min(a2, array1) )
67 call disp%skip()
68 end do
69 end block
70
71 block
72 use pm_kind, only: CKG => CKH
73 complex(CKG) :: a1, a2
74 complex(CKG), allocatable :: array1(:)
75 call disp%skip()
76 do itry = 1, ntry
77 call disp%show("lb = -9; ub = +9")
78 lb = -9; ub = +9
79 call disp%show("a1 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)")
80 a1 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
81 call disp%show("a2 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)")
82 a2 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
83 call disp%show("[a1, a2]")
84 call disp%show( [a1, a2] )
85 call disp%show("min(a1, a2)")
86 call disp%show( min(a1, a2) )
87 call disp%show("lenarr = getUnifRand(2, 5)")
88 lenarr = getUnifRand(2, 5)
89 call disp%show("array1 = getUnifRand((-9._CKG, -9._CKG), (+9._CKG, +9._CKG), lenarr)")
90 array1 = getUnifRand((-9._CKG, -9._CKG), (+9._CKG, +9._CKG), lenarr)
91 call disp%show("min(array1, a2)")
92 call disp%show( min(array1, a2) )
93 call disp%show("min(a2, array1)")
94 call disp%show( min(a2, array1) )
95 call disp%skip()
96 end do
97 end block
98
99end program example
pm_distUnif::getUnifRand
Generate and return a scalar or a contiguous array of rank 1 of length s1 of randomly uniformly distr...
Definition: pm_distUnif.F90:4150
pm_io::show
This is a generic method of the derived type display_type with pass attribute.
Definition: pm_io.F90:11726
pm_io::skip
This is a generic method of the derived type display_type with pass attribute.
Definition: pm_io.F90:11508
pm_distUnif
This module contains classes and procedures for computing various statistical quantities related to t...
Definition: pm_distUnif.F90:274
pm_io
This module contains classes and procedures for input/output (IO) or generic display operations on st...
Definition: pm_io.F90:252
pm_io::disp
type(display_type) disp
This is a scalar module variable an object of type display_type for general display.
Definition: pm_io.F90:11393
pm_kind
This module defines the relevant Fortran kind type-parameters frequently used in the ParaMonte librar...
Definition: pm_kind.F90:268
pm_kind::CKH
integer, parameter CKH
The scalar integer constant of intrinsic default kind, representing the highest-precision complex kin...
Definition: pm_kind.F90:843
pm_kind::CKS
integer, parameter CKS
The single-precision complex kind in Fortran mode. On most platforms, this is a 32-bit real kind.
Definition: pm_kind.F90:570
pm_kind::IK
integer, parameter IK
The default integer kind in the ParaMonte library: int32 in Fortran, c_int32_t in C-Fortran Interoper...
Definition: pm_kind.F90:540
pm_kind::CKD
integer, parameter CKD
The double precision complex kind in Fortran mode. On most platforms, this is a 64-bit real kind.
Definition: pm_kind.F90:571
pm_kind::SK
integer, parameter SK
The default character kind in the ParaMonte library: kind("a") in Fortran, c_char in C-Fortran Intero...
Definition: pm_kind.F90:539
pm_io::display_type
Generate and return an object of type display_type.
Definition: pm_io.F90:10282

Example Unix compile command via Intel ifort compiler ⛓
1#!/usr/bin/env sh
2rm main.exe
3ifort -fpp -standard-semantics -O3 -Wl,-rpath,../../../lib -I../../../inc main.F90 ../../../lib/libparamonte* -o main.exe
4./main.exe

Example Windows Batch compile command via Intel ifort compiler ⛓
1del main.exe
2set PATH=..\..\..\lib;%PATH%
3ifort /fpp /standard-semantics /O3 /I:..\..\..\include main.F90 ..\..\..\lib\libparamonte*.lib /exe:main.exe
4main.exe

Example Unix / MinGW compile command via GNU gfortran compiler ⛓
1#!/usr/bin/env sh
2rm main.exe
3gfortran -cpp -ffree-line-length-none -O3 -Wl,-rpath,../../../lib -I../../../inc main.F90 ../../../lib/libparamonte* -o main.exe
4./main.exe

Example output ⛓
1
2lb = -9; ub = +9
3a1 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
4a2 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
5[a1, a2]
6(-2.00000000, +2.00000000), (-4.00000000, +4.00000000)
7min(a1, a2)
8(-4.00000000, +2.00000000)
9lenarr = getUnifRand(2, 5)
10array1 = getUnifRand((-9._CKG, -9._CKG), (+9._CKG, +9._CKG), lenarr)
11min(array1, a2)
12(-4.00000000, +1.39551711), (-4.51397514, +1.09302711), (-4.00000000, +2.94664478), (-4.00000000, -2.05127311)
13min(a2, array1)
14(-4.00000000, +1.39551711), (-4.51397514, +1.09302711), (-4.00000000, +2.94664478), (-4.00000000, -2.05127311)
15
16lb = -9; ub = +9
17a1 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
18a2 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
19[a1, a2]
20(-9.00000000, -3.00000000), (-2.00000000, -3.00000000)
21min(a1, a2)
22(-9.00000000, -3.00000000)
23lenarr = getUnifRand(2, 5)
24array1 = getUnifRand((-9._CKG, -9._CKG), (+9._CKG, +9._CKG), lenarr)
25min(array1, a2)
26(-2.00000000, -3.00000000), (-3.10982919, -5.29856014), (-6.77618980, -3.00000000)
27min(a2, array1)
28(-2.00000000, -3.00000000), (-3.10982919, -5.29856014), (-6.77618980, -3.00000000)
29
30lb = -9; ub = +9
31a1 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
32a2 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
33[a1, a2]
34(-2.00000000, -8.00000000), (-8.00000000, -2.00000000)
35min(a1, a2)
36(-8.00000000, -8.00000000)
37lenarr = getUnifRand(2, 5)
38array1 = getUnifRand((-9._CKG, -9._CKG), (+9._CKG, +9._CKG), lenarr)
39min(array1, a2)
40(-8.00000000, -2.16555667), (-8.00000000, -8.11646080), (-8.00000000, -3.11470985)
41min(a2, array1)
42(-8.00000000, -2.16555667), (-8.00000000, -8.11646080), (-8.00000000, -3.11470985)
43
44lb = -9; ub = +9
45a1 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
46a2 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
47[a1, a2]
48(-8.00000000, +5.00000000), (+7.00000000, +4.00000000)
49min(a1, a2)
50(-8.00000000, +4.00000000)
51lenarr = getUnifRand(2, 5)
52array1 = getUnifRand((-9._CKG, -9._CKG), (+9._CKG, +9._CKG), lenarr)
53min(array1, a2)
54(+6.04376030, +0.580659866), (-0.119367599, +1.39978147), (-2.62679863, +3.88327885), (-7.74138021, +4.00000000), (+7.00000000, -5.93101788)
55min(a2, array1)
56(+6.04376030, +0.580659866), (-0.119367599, +1.39978147), (-2.62679863, +3.88327885), (-7.74138021, +4.00000000), (+7.00000000, -5.93101788)
57
58lb = -9; ub = +9
59a1 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
60a2 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
61[a1, a2]
62(+2.00000000, -3.00000000), (+7.00000000, +4.00000000)
63min(a1, a2)
64(+2.00000000, -3.00000000)
65lenarr = getUnifRand(2, 5)
66array1 = getUnifRand((-9._CKG, -9._CKG), (+9._CKG, +9._CKG), lenarr)
67min(array1, a2)
68(-2.77536774, +4.00000000), (-1.18967342, +3.65522671), (-6.63766098, -3.69844627), (+2.96300602, +4.00000000)
69min(a2, array1)
70(-2.77536774, +4.00000000), (-1.18967342, +3.65522671), (-6.63766098, -3.69844627), (+2.96300602, +4.00000000)
71
72
73lb = -9; ub = +9
74a1 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
75a2 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
76[a1, a2]
77(+2.0000000000000000, +4.0000000000000000), (-1.0000000000000000, +0.0000000000000000)
78min(a1, a2)
79(-1.0000000000000000, +0.0000000000000000)
80lenarr = getUnifRand(2, 5)
81array1 = getUnifRand((-9._CKG, -9._CKG), (+9._CKG, +9._CKG), lenarr)
82min(array1, a2)
83(-8.2974631564795409, -7.0255530247125222), (-1.0000000000000000, +0.0000000000000000), (-1.0000000000000000, -5.4242595093821677)
84min(a2, array1)
85(-8.2974631564795409, -7.0255530247125222), (-1.0000000000000000, +0.0000000000000000), (-1.0000000000000000, -5.4242595093821677)
86
87lb = -9; ub = +9
88a1 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
89a2 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
90[a1, a2]
91(+4.0000000000000000, -7.0000000000000000), (+8.0000000000000000, -2.0000000000000000)
92min(a1, a2)
93(+4.0000000000000000, -7.0000000000000000)
94lenarr = getUnifRand(2, 5)
95array1 = getUnifRand((-9._CKG, -9._CKG), (+9._CKG, +9._CKG), lenarr)
96min(array1, a2)
97(-0.76605493399717339, -4.8660450262730297), (+3.3785022794035204, -2.0000000000000000), (-6.0140433980219701, -2.6255875251885503), (-5.0344649629259060, -2.0000000000000000), (+8.0000000000000000, -2.0000000000000000)
98min(a2, array1)
99(-0.76605493399717339, -4.8660450262730297), (+3.3785022794035204, -2.0000000000000000), (-6.0140433980219701, -2.6255875251885503), (-5.0344649629259060, -2.0000000000000000), (+8.0000000000000000, -2.0000000000000000)
100
101lb = -9; ub = +9
102a1 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
103a2 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
104[a1, a2]
105(-5.0000000000000000, +4.0000000000000000), (+8.0000000000000000, +7.0000000000000000)
106min(a1, a2)
107(-5.0000000000000000, +4.0000000000000000)
108lenarr = getUnifRand(2, 5)
109array1 = getUnifRand((-9._CKG, -9._CKG), (+9._CKG, +9._CKG), lenarr)
110min(array1, a2)
111(-2.3791671447930636, +2.5699041814127437), (+2.6984747029690284, -0.47575660228585726)
112min(a2, array1)
113(-2.3791671447930636, +2.5699041814127437), (+2.6984747029690284, -0.47575660228585726)
114
115lb = -9; ub = +9
116a1 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
117a2 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
118[a1, a2]
119(-4.0000000000000000, +1.0000000000000000), (-2.0000000000000000, -3.0000000000000000)
120min(a1, a2)
121(-4.0000000000000000, -3.0000000000000000)
122lenarr = getUnifRand(2, 5)
123array1 = getUnifRand((-9._CKG, -9._CKG), (+9._CKG, +9._CKG), lenarr)
124min(array1, a2)
125(-8.1236791206453880, -6.2370594158625678), (-2.0000000000000000, -3.3270519230458824), (-7.5315542643841376, -8.2514717691556747), (-2.0000000000000000, -7.4829975580787753)
126min(a2, array1)
127(-8.1236791206453880, -6.2370594158625678), (-2.0000000000000000, -3.3270519230458824), (-7.5315542643841376, -8.2514717691556747), (-2.0000000000000000, -7.4829975580787753)
128
129lb = -9; ub = +9
130a1 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
131a2 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
132[a1, a2]
133(-8.0000000000000000, +3.0000000000000000), (+1.0000000000000000, +1.0000000000000000)
134min(a1, a2)
135(-8.0000000000000000, +1.0000000000000000)
136lenarr = getUnifRand(2, 5)
137array1 = getUnifRand((-9._CKG, -9._CKG), (+9._CKG, +9._CKG), lenarr)
138min(array1, a2)
139(+0.80670771469196012, -1.8864314178908845), (+1.0000000000000000, -6.7677855815529355), (-1.9181420700275553, +1.0000000000000000), (-1.1346125985513194, -8.3810608565567861)
140min(a2, array1)
141(+0.80670771469196012, -1.8864314178908845), (+1.0000000000000000, -6.7677855815529355), (-1.9181420700275553, +1.0000000000000000), (-1.1346125985513194, -8.3810608565567861)
142
143
144lb = -9; ub = +9
145a1 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
146a2 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
147[a1, a2]
148(+7.00000000000000000000000000000000000, +0.00000000000000000000000000000000000), (+4.00000000000000000000000000000000000, +0.00000000000000000000000000000000000)
149min(a1, a2)
150(+4.00000000000000000000000000000000000, +0.00000000000000000000000000000000000)
151lenarr = getUnifRand(2, 5)
152array1 = getUnifRand((-9._CKG, -9._CKG), (+9._CKG, +9._CKG), lenarr)
153min(array1, a2)
154(+1.91537702215694979588996173962362058, -2.98768063772100521859141453563268657), (+1.09576564299457061480910897598804908, +0.00000000000000000000000000000000000), (+4.00000000000000000000000000000000000, +0.00000000000000000000000000000000000), (-6.63911597321813016161642172591224161, +0.00000000000000000000000000000000000)
155min(a2, array1)
156(+1.91537702215694979588996173962362058, -2.98768063772100521859141453563268657), (+1.09576564299457061480910897598804908, +0.00000000000000000000000000000000000), (+4.00000000000000000000000000000000000, +0.00000000000000000000000000000000000), (-6.63911597321813016161642172591224161, +0.00000000000000000000000000000000000)
157
158lb = -9; ub = +9
159a1 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
160a2 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
161[a1, a2]
162(+3.00000000000000000000000000000000000, -3.00000000000000000000000000000000000), (+6.00000000000000000000000000000000000, +2.00000000000000000000000000000000000)
163min(a1, a2)
164(+3.00000000000000000000000000000000000, -3.00000000000000000000000000000000000)
165lenarr = getUnifRand(2, 5)
166array1 = getUnifRand((-9._CKG, -9._CKG), (+9._CKG, +9._CKG), lenarr)
167min(array1, a2)
168(-3.70222268177764928791582663950773379, -1.41072614509827757782919285937577928), (-2.67955682004846624792983067629255724, -0.776283927368696000508241838688576264), (-6.70637009316095733542849218620799783, -7.52752922425246216586838497827814395), (-5.47868160118563739244376157308980797, -2.75257019008290958955564428576742978)
169min(a2, array1)
170(-3.70222268177764928791582663950773379, -1.41072614509827757782919285937577928), (-2.67955682004846624792983067629255724, -0.776283927368696000508241838688576264), (-6.70637009316095733542849218620799783, -7.52752922425246216586838497827814395), (-5.47868160118563739244376157308980797, -2.75257019008290958955564428576742978)
171
172lb = -9; ub = +9
173a1 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
174a2 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
175[a1, a2]
176(-1.00000000000000000000000000000000000, +3.00000000000000000000000000000000000), (-1.00000000000000000000000000000000000, +6.00000000000000000000000000000000000)
177min(a1, a2)
178(-1.00000000000000000000000000000000000, +3.00000000000000000000000000000000000)
179lenarr = getUnifRand(2, 5)
180array1 = getUnifRand((-9._CKG, -9._CKG), (+9._CKG, +9._CKG), lenarr)
181min(array1, a2)
182(-1.00000000000000000000000000000000000, -0.525567654346852204913162236219754708), (-1.87291957658069798879118452444385672, -8.17233261266536770126050120758013935), (-3.84292443880597405216266777352896325, -1.33822838488345677788271045724538878), (-1.00000000000000000000000000000000000, +6.00000000000000000000000000000000000), (-1.00000000000000000000000000000000000, +5.14861107270589691875163942498473935)
183min(a2, array1)
184(-1.00000000000000000000000000000000000, -0.525567654346852204913162236219754708), (-1.87291957658069798879118452444385672, -8.17233261266536770126050120758013935), (-3.84292443880597405216266777352896325, -1.33822838488345677788271045724538878), (-1.00000000000000000000000000000000000, +6.00000000000000000000000000000000000), (-1.00000000000000000000000000000000000, +5.14861107270589691875163942498473935)
185
186lb = -9; ub = +9
187a1 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
188a2 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
189[a1, a2]
190(+5.00000000000000000000000000000000000, +8.00000000000000000000000000000000000), (+6.00000000000000000000000000000000000, +0.00000000000000000000000000000000000)
191min(a1, a2)
192(+5.00000000000000000000000000000000000, +0.00000000000000000000000000000000000)
193lenarr = getUnifRand(2, 5)
194array1 = getUnifRand((-9._CKG, -9._CKG), (+9._CKG, +9._CKG), lenarr)
195min(array1, a2)
196(+4.50125858706431435786956306720494674, +0.00000000000000000000000000000000000), (+1.73637803891347130899986731920464290, +0.00000000000000000000000000000000000), (-0.926029873540508842901954374198725265, +0.00000000000000000000000000000000000)
197min(a2, array1)
198(+4.50125858706431435786956306720494674, +0.00000000000000000000000000000000000), (+1.73637803891347130899986731920464290, +0.00000000000000000000000000000000000), (-0.926029873540508842901954374198725265, +0.00000000000000000000000000000000000)
199
200lb = -9; ub = +9
201a1 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
202a2 = cmplx(getUnifRand(lb, ub), getUnifRand(lb, ub), CKG)
203[a1, a2]
204(+7.00000000000000000000000000000000000, -6.00000000000000000000000000000000000), (-1.00000000000000000000000000000000000, -2.00000000000000000000000000000000000)
205min(a1, a2)
206(-1.00000000000000000000000000000000000, -6.00000000000000000000000000000000000)
207lenarr = getUnifRand(2, 5)
208array1 = getUnifRand((-9._CKG, -9._CKG), (+9._CKG, +9._CKG), lenarr)
209min(array1, a2)
210(-1.00000000000000000000000000000000000, -2.00000000000000000000000000000000000), (-1.00000000000000000000000000000000000, -2.00000000000000000000000000000000000), (-4.52429372503346217994802188129103543, -2.00000000000000000000000000000000000)
211min(a2, array1)
212(-1.00000000000000000000000000000000000, -2.00000000000000000000000000000000000), (-1.00000000000000000000000000000000000, -2.00000000000000000000000000000000000), (-4.52429372503346217994802188129103543, -2.00000000000000000000000000000000000)
213
214
Test:
test_pm_complexMinMax


Final Remarks ⛓

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Copyright
Computational Data Science Lab
Author:
Amir Shahmoradi, September 1, 2017, 12:00 AM, Institute for Computational Engineering and Sciences (ICES), The University of Texas Austin

Definition at line 103 of file pm_complexMinMax.F90.

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