ParaMonte MATLAB 3.0.0
Parallel Monte Carlo and Machine Learning Library
See the latest version documentation.
map.m File Reference

Go to the source code of this file.

Functions

function map ()
 Return a scalar MATLAB logical that is true if and only if the current installation of MATLAB contains the MATLAB mapping Toolbox. More...
 

Function Documentation

◆ map()

function map ( )

Return a scalar MATLAB logical that is true if and only if the current installation of MATLAB contains the MATLAB mapping Toolbox.

This function searches the MATLAB license for an installation of the Toolbox.

Returns
hasit : The output scalar MATLAB logical that is true if and only if the current installation of MATLAB contains the required MATLAB Toolbox.


Possible calling interfaces

hasit = pm.matlab.has.map();


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.matlab.show()
5pm.matlab.show("pm.matlab.has.bioinformatics()")
6pm.matlab.show( pm.matlab.has.bioinformatics() )
7
8pm.matlab.show()
9pm.matlab.show("pm.matlab.has.compiler()")
10pm.matlab.show( pm.matlab.has.compiler() )
11
12pm.matlab.show()
13pm.matlab.show("pm.matlab.has.curvefitting()")
14pm.matlab.show( pm.matlab.has.curvefitting() )
15
16pm.matlab.show()
17pm.matlab.show("pm.matlab.has.database()")
18pm.matlab.show( pm.matlab.has.database() )
19
20pm.matlab.show()
21pm.matlab.show("pm.matlab.has.econometrics()")
22pm.matlab.show( pm.matlab.has.econometrics() )
23
24pm.matlab.show()
25pm.matlab.show("pm.matlab.has.financial()")
26pm.matlab.show( pm.matlab.has.financial() )
27
28pm.matlab.show()
29pm.matlab.show("pm.matlab.has.fuzzy()")
30pm.matlab.show( pm.matlab.has.fuzzy() )
31
32pm.matlab.show()
33pm.matlab.show("pm.matlab.has.gads()")
34pm.matlab.show( pm.matlab.has.gads() )
35
36pm.matlab.show()
37pm.matlab.show("pm.matlab.has.gpucoder()")
38pm.matlab.show( pm.matlab.has.gpucoder() )
39
40pm.matlab.show()
41pm.matlab.show("pm.matlab.has.imageproc()")
42pm.matlab.show( pm.matlab.has.imageproc() )
43
44pm.matlab.show()
45pm.matlab.show("pm.matlab.has.map()")
46pm.matlab.show( pm.matlab.has.map() )
47
48pm.matlab.show()
49pm.matlab.show("pm.matlab.has.medimage()")
50pm.matlab.show( pm.matlab.has.medimage() )
51
52pm.matlab.show()
53pm.matlab.show("pm.matlab.has.neuralnet()")
54pm.matlab.show( pm.matlab.has.neuralnet() )
55
56pm.matlab.show()
57pm.matlab.show("pm.matlab.has.optimization()")
58pm.matlab.show( pm.matlab.has.optimization() )
59
60pm.matlab.show()
61pm.matlab.show("pm.matlab.has.parallel()")
62pm.matlab.show( pm.matlab.has.parallel() )
63
64pm.matlab.show()
65pm.matlab.show("pm.matlab.has.pde()")
66pm.matlab.show( pm.matlab.has.pde() )
67
68pm.matlab.show()
69pm.matlab.show("pm.matlab.has.reinflearning()")
70pm.matlab.show( pm.matlab.has.reinflearning() )
71
72pm.matlab.show()
73pm.matlab.show("pm.matlab.has.riskman()")
74pm.matlab.show( pm.matlab.has.riskman() )
75
76pm.matlab.show()
77pm.matlab.show("pm.matlab.has.simbio()")
78pm.matlab.show( pm.matlab.has.simbio() )
79
80pm.matlab.show()
81pm.matlab.show("pm.matlab.has.statistics()")
82pm.matlab.show( pm.matlab.has.statistics() )
83
84pm.matlab.show()
85pm.matlab.show("pm.matlab.has.textanal()")
86pm.matlab.show( pm.matlab.has.textanal() )
87
88pm.matlab.show()
89pm.matlab.show("pm.matlab.has.wavelet()")
90pm.matlab.show( pm.matlab.has.wavelet() )
function root()
Return a scalar MATLAB string containing the root directory of the ParaMonte library package.

Example output
1
2pm.matlab.has.bioinformatics()
3 1
4
5pm.matlab.has.compiler()
6 1
7
8pm.matlab.has.curvefitting()
9 1
10
11pm.matlab.has.database()
12 1
13
14pm.matlab.has.econometrics()
15 1
16
17pm.matlab.has.financial()
18 1
19
20pm.matlab.has.fuzzy()
21 1
22
23pm.matlab.has.gads()
24 1
25
26pm.matlab.has.gpucoder()
27 1
28
29pm.matlab.has.imageproc()
30 1
31
32pm.matlab.has.map()
33 1
34
35pm.matlab.has.medimage()
36 1
37
38pm.matlab.has.neuralnet()
39 1
40
41pm.matlab.has.optimization()
42 1
43
44pm.matlab.has.parallel()
45 1
46
47pm.matlab.has.pde()
48 1
49
50pm.matlab.has.reinflearning()
51 1
52
53pm.matlab.has.riskman()
54 1
55
56pm.matlab.has.simbio()
57 1
58
59pm.matlab.has.statistics()
60 1
61
62pm.matlab.has.textanal()
63 1
64
65pm.matlab.has.wavelet()
66 1


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.

  1. 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.
  2. 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.

Author:
Joshua Alexander Osborne, May 21 2024, 10:33 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