ParaMonte MATLAB 3.0.0
Parallel Monte Carlo and Machine Learning Library
See the latest version documentation.
+has Directory Reference

The ParaMonte MATLAB package pm.matlab.has contains a set of routines related to the checking presence of MATLAB language toolboxes.

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Files

file  bioinformatics.m [code]
 
file  compiler.m [code]
 
file  Contents.m [code]
 
file  curvefitting.m [code]
 
file  database.m [code]
 
file  econometrics.m [code]
 
file  financial.m [code]
 
file  fuzzy.m [code]
 
file  gads.m [code]
 
file  gpucoder.m [code]
 
file  imageproc.m [code]
 
file  map.m [code]
 
file  medimage.m [code]
 
file  neuralnet.m [code]
 
file  optimization.m [code]
 
file  parallel.m [code]
 
file  pde.m [code]
 
file  reinflearning.m [code]
 
file  riskman.m [code]
 
file  simbio.m [code]
 
file  statistics.m [code]
 
file  textanal.m [code]
 
file  wavelet.m [code]
 

Detailed Description

The ParaMonte MATLAB package pm.matlab.has contains a set of routines related to the checking presence of MATLAB language toolboxes.

Note
For more information on the existing functionalities, see the documentations of the package members.


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, 9:52 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