How to resolve the algorithm Sorting algorithms/Counting sort step by step in the Mathematica/Wolfram Language programming language

Published on 22 June 2024 08:30 PM

How to resolve the algorithm Sorting algorithms/Counting sort step by step in the Mathematica/Wolfram Language programming language

Table of Contents

Problem Statement

Implement the Counting sort.   This is a way of sorting integers when the minimum and maximum value are known.

The min and max can be computed apart, or be known a priori.

Note:   we know that, given an array of integers,   its maximum and minimum values can be always found;   but if we imagine the worst case for an array that can hold up to 32 bit integers,   we see that in order to hold the counts,   an array of up to 232 elements may be needed.   I.E.:   we need to hold a count value up to 232-1,   which is a little over 4.2 Gbytes.   So the counting sort is more practical when the range is (very) limited,   and minimum and maximum values are known   a priori.     (However, as a counterexample,   the use of   sparse arrays   minimizes the impact of the memory usage,   as well as removing the need of having to know the minimum and maximum values   a priori.)

Let's start with the solution:

Step by Step solution about How to resolve the algorithm Sorting algorithms/Counting sort step by step in the Mathematica/Wolfram Language programming language

The provided Wolfram Mathematica code defines a function called countingSort that performs counting sort on a given list. Counting sort is a sorting algorithm that works by counting the number of occurrences of each distinct element in the input and then using these counts to determine the final sorted order of the elements.

Here's a step-by-step explanation of the code:

  1. Function Input: The countingSort function takes a single argument, list, which is the input list that needs to be sorted.

  2. Initialization:

    • minElem: This variable is initialized to the minimum element in the input list using the Min function.
    • maxElem: This variable is initialized to the maximum element in the input list using the Max function.
    • count: This is an array of zeros of length (maxElem - minElem + 1). It will store the count of each distinct element in the input list.
  3. Counting the Occurrences:

    • The code uses a For loop to iterate through each element in the input list.
    • For each element, it increments the corresponding count in the count array.
  4. Sorting:

    • The code uses another For loop to iterate through each distinct element (from the minimum to maximum).
    • Inside this loop, it uses a While loop to place the copies of the current element into the sorted output list.
    • The count of the current element is decremented after each placement, and the position in the output list is incremented.
  5. Returning the Sorted List:

    • The function returns the sorted list.

To use the countingSort function, you can pass the input list as an argument and assign the result to a variable, like this:

sortedList = countingSort[list];

Counting sort is particularly efficient for sorting lists with a small number of distinct elements or when the range of values is relatively small.

Source code in the wolfram programming language

countingSort[list_] := Module[{minElem, maxElem, count, z, number},
  minElem = Min[list]; maxElem = Max[list];
  count = ConstantArray[0, (maxElem - minElem + 1)];
  For[number = 1, number < Length[list], number++, 
   count[[number - minElem + 1]] = count[[number - minElem + 1]] + 1;] ;
  z = 1;
  For[i = minElem, i < maxElem, i++, 
   While[count[[i - minElem + 1]] > 0,
    list[[z]] = i; z++;
    count[[i - minElem + 1]] = count[[i - minElem + 1]] - 1;]
   ];   
  ]


  

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