Functions
function	pnint (in val)
	Generate and return the probabilistically-rounded to the nearest integer value of the input real number. More...

Function Documentation

◆ pnint()

function pnint ( in val )

Generate and return the probabilistically-rounded to the nearest integer value of the input real number.

Unlike the intrinsic Fortran nint() function, the procedures of this generic interface round the input real number to the nearest integer value probabilistically.
The closer the input val is to its nint(val) result, the more likely it will be rounded to it.
See below for example usage.

Parameters

[in] val : The input scalar or array of the same rank as other array-like arguments, containing the number to be rounded probabilistically.

Returns: whole : The output scalar or array of the same rank and shape as the input arguments, of default integer kind, containing the probabilistically-rounded input value to the nearest integer.

Possible calling interfaces ⛓

: whole = pm.math.pnint(val);

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("val = repmat([5., 5.2, 5.5, 5.8, 6.], 20, 1);")

6 val = repmat([5., 5.2, 5.5, 5.8, 6.], 20, 1);

7pm.matlab.show("val")

8pm.matlab.show( val )

9pm.matlab.show("pm.math.pnint(val)")

10pm.matlab.show( pm.math.pnint(val) )

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

Example output ⛓
1

2val = repmat([5., 5.2, 5.5, 5.8, 6.], 20, 1);

3val

4val

5 Columns 1 through 3

6 5.000000000000000 5.200000000000000 5.500000000000000

7 5.000000000000000 5.200000000000000 5.500000000000000

8 5.000000000000000 5.200000000000000 5.500000000000000

9 5.000000000000000 5.200000000000000 5.500000000000000

10 5.000000000000000 5.200000000000000 5.500000000000000

11 5.000000000000000 5.200000000000000 5.500000000000000

12 5.000000000000000 5.200000000000000 5.500000000000000

13 5.000000000000000 5.200000000000000 5.500000000000000

14 5.000000000000000 5.200000000000000 5.500000000000000

15 5.000000000000000 5.200000000000000 5.500000000000000

16 5.000000000000000 5.200000000000000 5.500000000000000

17 5.000000000000000 5.200000000000000 5.500000000000000

18 5.000000000000000 5.200000000000000 5.500000000000000

19 5.000000000000000 5.200000000000000 5.500000000000000

20 5.000000000000000 5.200000000000000 5.500000000000000

21 5.000000000000000 5.200000000000000 5.500000000000000

22 5.000000000000000 5.200000000000000 5.500000000000000

23 5.000000000000000 5.200000000000000 5.500000000000000

24 5.000000000000000 5.200000000000000 5.500000000000000

25 5.000000000000000 5.200000000000000 5.500000000000000

26 Columns 4 through 5

27 5.800000000000000 6.000000000000000

28 5.800000000000000 6.000000000000000

29 5.800000000000000 6.000000000000000

30 5.800000000000000 6.000000000000000

31 5.800000000000000 6.000000000000000

32 5.800000000000000 6.000000000000000

33 5.800000000000000 6.000000000000000

34 5.800000000000000 6.000000000000000

35 5.800000000000000 6.000000000000000

36 5.800000000000000 6.000000000000000

37 5.800000000000000 6.000000000000000

38 5.800000000000000 6.000000000000000

39 5.800000000000000 6.000000000000000

40 5.800000000000000 6.000000000000000

41 5.800000000000000 6.000000000000000

42 5.800000000000000 6.000000000000000

43 5.800000000000000 6.000000000000000

44 5.800000000000000 6.000000000000000

45 5.800000000000000 6.000000000000000

46 5.800000000000000 6.000000000000000

47pm.math.pnint(val)

48 5 5 6 6 6

49 5 6 6 6 6

50 5 5 5 6 6

51 5 5 6 6 6

52 5 5 6 6 6

53 5 6 5 6 6

54 5 5 6 6 6

55 5 5 6 6 6

56 5 5 6 6 6

57 5 5 6 6 6

58 5 5 6 6 6

59 5 5 5 6 6

60 5 5 5 6 6

61 5 5 5 6 6

62 5 5 6 6 6

63 5 5 6 5 6

64 5 5 6 6 6

65 5 6 5 6 6

66 5 6 6 6 6

67 5 5 6 6 6

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:: Amir Shahmoradi, April 23, 2017, 1:36 AM, Institute for Computational Engineering and Sciences (ICES), University of Texas at Austin

Functions

Function Documentation

◆ pnint()