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

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Functions

function verbose (in cmat, in dim, in weight)
 Return a MATLAB double, cell, or table matrix whose rows or columns are unrolled according to a prespecified weight. More...
 

Function Documentation

◆ verbose()

function verbose ( in  cmat,
in  dim,
in  weight 
)

Return a MATLAB double, cell, or table matrix whose rows or columns are unrolled according to a prespecified weight.

Parameters
[in]cmat: The input compact MATLAB double, cell, or table matrix that is to be unrolled along an axis.
[in]dim: The input scalar MATLAB integer that can be either 1 or 2 representing the axis along with the array must be unrolled.
An input value of 1 implies unrolling along the columns of the input cmat, that is, unrolling the cmat rows.
[in]weight: The input MATLAB matrix of integer values of size size(cmat, dim) containing the set of weights to used for unrolling the input cmat.
Returns
vmat : The output MATLAB matrix of the same type and kind as the input cmat, containing the cmat that is unrolled along the specified axis dim using the input weights.


Possible calling interfaces

vmat = pm.array.verbose(cmat, dim, weight)
Warning
Negative weights lead to a runtime error.
Any entry corresponding to a zero weight is ignored in the output vmat.


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
4cmat = randi([0, 9], 3, 5)
5pm.array.verbose(cmat, 1, [0, 2, 1])
6pm.array.verbose(cmat, 2, [2, 0, 1, 3, 1])
function root()
Return a scalar MATLAB string containing the root directory of the ParaMonte library package.
function verbose(in cmat, in dim, in weight)
Return a MATLAB double, cell, or table matrix whose rows or columns are unrolled according to a presp...

Example output
1cmat =
2 8 9 2 9 9
3 9 6 5 1 4
4 1 0 9 9 8
5ans =
6 9 6 5 1 4
7 9 6 5 1 4
8 1 0 9 9 8
9ans =
10 8 8 2 9 9 9 9
11 9 9 5 1 1 1 4
12 1 1 9 9 9 9 8


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, 4:24 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