Functions
function	logspace (in loglb, in logub, in logskip, in base)
	Return a set of unique real spacings linearly-spaced in the logarithmic scale in the input given base, between the specified lower and upper bounds. More...

Function Documentation

◆ logspace()

function logspace	(	in	loglb,
		in	logub,
		in	logskip,
		in	base
	)

Return a set of unique real spacings linearly-spaced in the logarithmic scale in the input given base, between the specified lower and upper bounds.

Parameters

[in]	loglb	: The input scalar MATLAB real containing the natural logarithm of the lower bound of the output logarithmically-linear spaced vector.
[in]	logub	: The input scalar MATLAB real containing the natural logarithm of the upper bound of the output logarithmically-linear spaced vector.
[in]	logskip	: The input scalar MATLAB real of value larger than `1` containing the natural logarithm of the spacing between the natural logarithm of the output values. (optional, default = `(logub - loglb) / 100`)
[in]	base	: The input scalar MATLAB real containing the base of the logarithmic space. (optional, default = `exp(1)`)

Returns: array : The output vector of MATLAB real values containing the set of logarithmically-spaced values in the specified input range with the specified base.

Possible calling interfaces ⛓

: array = pm.array.logspace(loglb, logub)

array = pm.array.logspace(loglb, logub, logskip)

array = pm.array.logspace(loglb, logub, [], base)

array = pm.array.logspace(loglb, logub, logskip, base)

Example usage ⛓

: 1cd(fileparts(mfilename('fullpath'))); % Change working directory to source code directory.

2addpath('../../../'); % Add the ParaMonte library root directory to the search path.

3

4pm.array.logspace(log(10), log(20))

5pm.array.logspace(log(10), log(20), log(1.5)) % 10.000000000000002 15.000000000000007

6pm.array.logspace(log(10), log(20), [], 2)

7pm.array.logspace(log(10), log(20), log(1.5), 3) % 10.000000000000004 15.000000000000012

root
function root()
Return a scalar MATLAB string containing the root directory of the ParaMonte library package.

Example output ⛓
1ans =

2 Columns 1 through 3

3 10.000000000000002 10.069555500567189 10.139594797900294

4 Columns 4 through 6

5 10.210121257071934 10.281138266560669 10.352649238413777

6 Columns 7 through 9

7 10.424657608411215 10.497166836230676 10.570180405613804

8 Columns 10 through 12

9 10.643701824533604 10.717734625362933 10.792282365044272

10 Columns 13 through 15

11 10.867348625260584 10.942937012607397 11.019051158766107

12 Columns 16 through 18

13 11.095694720678452 11.172871380722199 11.250584846888097

14 Columns 19 through 21

15 11.328838852957988 11.407637158684235 11.486983549970354

16 Columns 22 through 24

17 11.566881839052876 11.647335864684562 11.728349492318790

18 Columns 25 through 27

19 11.809926614295303 11.892071150027213 11.974787046189288

20 Columns 28 through 30

21 12.058078276907608 12.141948843950470 12.226402776920684

22 Columns 31 through 33

23 12.311444133449166 12.397076999389867 12.483305489016118

24 Columns 34 through 36

25 12.570133745218286 12.657565939702799 12.745606273192625

26 Columns 37 through 39

27 12.834258975629043 12.923528306374926 13.013418554419339

28 Columns 40 through 42

29 13.103934038583633 13.195079107728946 13.286858140965116

30 Columns 43 through 45

31 13.379275547861120 13.472335768656905 13.566043274476719

32 Columns 46 through 48

33 13.660402567543958 13.755418181397438 13.851094681109245

34 Columns 49 through 51

35 13.947436663504057 14.044448757379971 14.142135623730955

36 Columns 52 through 54

37 14.240501955970718 14.339552480158272 14.439291955224963

38 Columns 55 through 57

39 14.539725173203106 14.640856959456251 14.742692172911013

40 Columns 58 through 60

41 14.845235706290490 14.948492486349387 15.052467474110673

42 Columns 61 through 63

43 15.157165665103978 15.262592089605592 15.368751812880122

44 Columns 64 through 66

45 15.475649935423903 15.583291593209998 15.691681957935012

46 Columns 67 through 69

47 15.800826237267545 15.910729675098372 16.021397551792436

48 Columns 70 through 72

49 16.132835184442527 16.245047927124709 16.358041171155623

50 Columns 73 through 75

51 16.471820345351460 16.586390916288831 16.701758388567388

52 Columns 76 through 78

53 16.817928305074290 16.934906247250545 17.052697835359133

54 Columns 79 through 81

55 17.171308728755072 17.290744626157306 17.411011265922479

56 Columns 82 through 84

57 17.532114426320703 17.654059925813097 17.776853623331398

58 Columns 85 through 87

59 17.900501418559450 18.025009252216602 18.150383106343220

60 Columns 88 through 90

61 18.276629004588010 18.403753012497496 18.531761237807419

62 Columns 91 through 93

63 18.660659830736144 18.790454984280231 18.921152934511916

64 Columns 94 through 96

65 19.052759960878742 19.185282386505289 19.318726578496907

66 Columns 97 through 99

67 19.453098948245703 19.588405951738537 19.724654089867180

68 Columns 100 through 101

69 19.861849908740719 19.999999999999996

70ans =

71 10.000000000000002 15.000000000000007

72ans =

73 Columns 1 through 3

74 4.933409667914598 4.957169414858324 4.981043590891229

75 Columns 4 through 6

76 5.005032747114145 5.029137437282065 5.053358217816911

77 Columns 7 through 9

78 5.077695647820386 5.102150289086875 5.126722706116417

79 Columns 10 through 12

80 5.151413466127734 5.176223139071324 5.201152297642619

81 Columns 13 through 15

82 5.226201517295204 5.251371376254098 5.276662455529108

83 Columns 16 through 18

84 5.302075338928236 5.327610613071152 5.353268867402745

85 Columns 19 through 21

86 5.379050694206718 5.404956688619272 5.430987448642834

87 Columns 22 through 24

88 5.457143575159864 5.483425671946730 5.509834345687636

89 Columns 25 through 27

90 5.536370205988638 5.563033865391709 5.589825939388873

91 Columns 28 through 30

92 5.616747046436427 5.643797807969205 5.670978848414928

93 Columns 31 through 33

94 5.698290795208622 5.725734278807087 5.753309932703470

95 Columns 34 through 36

96 5.781018393441874 5.808860300632054 5.836836296964186

97 Columns 37 through 39

98 5.864947028223699 5.893193143306186 5.921575294232372

99 Columns 40 through 42

100 5.950094136163183 5.978750327414854 6.007544529474126

101 Columns 43 through 45

102 6.036477407013528 6.065549627906711 6.094761863243860

103 Columns 46 through 48

104 6.124114787347196 6.153609077786532 6.183245415394926

105 Columns 49 through 51

106 6.213024484284386 6.242946971861659 6.273013568844117

107 Columns 52 through 54

108 6.303224969275679 6.333581870542845 6.364084973390799

109 Columns 55 through 57

110 6.394734981939564 6.425532603700278 6.456478549591516

111 Columns 58 through 60

112 6.487573533955695 6.518818274575580 6.550213492690829

113 Columns 61 through 63

114 6.581759913014666 6.613458263750601 6.645309276609226

115 Columns 64 through 66

116 6.677313686825131 6.709472233173850 6.741785657988935

117 Columns 67 through 69

118 6.774254707179085 6.806880130245352 6.839662680298463

119 Columns 70 through 72

120 6.872603114076194 6.905702191960830 6.938960677996736

121 Columns 73 through 75

122 6.972379339907975 7.005958949116044 7.039700280757678

123 Columns 76 through 78

124 7.073604113702731 7.107671230572176 7.141902417756149

125 Columns 79 through 81

126 7.176298465432118 7.210860167583119 7.245588322016076

127 Columns 82 through 84

128 7.280483730380228 7.315547198185625 7.350779534821729

129 Columns 85 through 87

130 7.386181553576099 7.421754071653151 7.457497910193040

131 Columns 88 through 90

132 7.493413894290598 7.529502853014396 7.565765619425871

133 Columns 91 through 93

134 7.602203030598558 7.638815927637414 7.675605155698239

135 Columns 94 through 96

136 7.712571564007170 7.749716005880304 7.787039338743374

137 Columns 97 through 99

138 7.824542424151564 7.862226127809382 7.900091319590643

139 Columns 100 through 101

140 7.938138873558559 7.976369667985903

141ans =

142 12.549091579662001 19.591528026787028

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:: Joshua Alexander Osborne, May 21 2024, 4:33 PM, University of Texas at Arlington
Fatemeh Bagheri, May 20 2024, 1:25 PM, NASA Goddard Space Flight Center (GSFC), Washington, D.C.
Amir Shahmoradi, May 16 2016, 9:03 AM, Oden Institute for Computational Engineering and Sciences (ICES), UT Austin

Functions

Function Documentation

◆ logspace()