random_pivot_quick_sort.cpp File Reference

Implementation of the Random Pivot Quick Sort algorithm. More...

#include <algorithm>
#include <array>
#include <cassert>
#include <ctime>
#include <iostream>
#include <tuple>

Include dependency graph for random_pivot_quick_sort.cpp:

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Classes
class	TestCases
	class encapsulating the necessary test cases More...

Namespaces
namespace	sorting
	for working with vectors
namespace	random_pivot_quick_sort
	Functions for the Random Pivot Quick Sort implementation.

Functions
template<size_t T>
void	sorting::random_pivot_quick_sort::showArray (std::array< int64_t, T > arr)
	Utility function to print the array.
int64_t	sorting::random_pivot_quick_sort::getRandomIndex (int64_t start, int64_t end)
	Takes the start and end indices of an array and returns a random int64_teger between the range of those two for selecting pivot element.
template<size_t size>
std::tuple< int64_t, std::array< int64_t, size > >	sorting::random_pivot_quick_sort::partition (std::array< int64_t, size > arr, int64_t start, int64_t end)
	A partition function which handles the partition logic of quick sort.
template<size_t size>
std::array< int64_t, size >	sorting::random_pivot_quick_sort::quickSortRP (std::array< int64_t, size > arr, int64_t start, int64_t end)
	Random pivot quick sort function. This function is the starting point of the algorithm.
template<size_t size>
std::array< int64_t, size >	sorting::random_pivot_quick_sort::generateUnsortedArray (int64_t from, int64_t to)
	A function utility to generate unsorted array of given size and range.
static void	test ()
	Self-test implementations.
int	main (int argc, char *argv[])
	Main function.

Detailed Description

Implementation of the Random Pivot Quick Sort algorithm.

• A random pivot quick sort algorithm is pretty much same as quick sort with a difference of having a logic of selecting next pivot element from the input array.
• Where in quick sort is fast, but still can give you the time complexity of O(n^2) in worst case.
• To avoid hitting the time complexity of O(n^2), we use the logic of randomize the selection process of pivot element.

       ### Logic
           * The logic is pretty simple, the only change is in the
  

  partitioning algorithm, which is selecting the pivot element.
  • Instead of selecting the last or the first element from array for pivot we use a random index to select pivot element.
  • This avoids hitting the O(n^2) time complexity in practical use cases.

      ### Partition Logic
          * Partitions are done such as numbers lower than the "pivot"
    

    element is arranged on the left side of the "pivot", and number larger than the "pivot" element are arranged on the right part of the array.

      ### Algorithm
          * Select the pivot element randomly using getRandomIndex() function
    

    from this namespace.

Initialize the pInd (partition index) from the start of the array.

• Loop through the array from start to less than end. (from start to < end). (Inside the loop) :-
  • Check if the current element (arr[i]) is less than the pivot element in each iteration.
  • If current element in the iteration is less than the pivot element, then swap the elements at current index (i) and partition index (pInd) and increment the partition index by one.
• At the end of the loop, swap the pivot element with partition index element.
• Return the partition index from the function.

Author

Nitin Sharma

Definition in file random_pivot_quick_sort.cpp.

Function Documentation

generateUnsortedArray()

template<size_t size>

std::array< int64_t, size > sorting::random_pivot_quick_sort::generateUnsortedArray	(	int64_t	from,
		int64_t	to )

A function utility to generate unsorted array of given size and range.

Template Parameters

size	Size of the output array.

Parameters

from	Stating of the range.
to	Ending of the range.

Returns

std::array<int64_t , size> Unsorted array of specified size.

Definition at line 160 of file random_pivot_quick_sort.cpp.

                                                                        {
    srand(time(nullptr));
    std::array<int64_t, size> unsortedArray{};
    assert(from < to);
    int64_t i = 0;
    while (i < size) {
        int64_t randomNum = from + rand() % (to - from + 1);
        if (randomNum) {
            unsortedArray[i] = randomNum;
            i++;
        }
    }
    return unsortedArray;
}

getRandomIndex()

int64_t sorting::random_pivot_quick_sort::getRandomIndex	(	int64_t	start,
		int64_t	end )

Takes the start and end indices of an array and returns a random int64_teger between the range of those two for selecting pivot element.

Parameters

start	The starting index.
end	The ending index.

Returns

int64_t A random number between start and end index.

Definition at line 88 of file random_pivot_quick_sort.cpp.

                                                   {
    srand(time(nullptr));  // Initialize random number generator.
    int64_t randomPivotIndex = start + rand() % (end - start + 1);
    return randomPivotIndex;
}

main()

int main	(	int	argc,
		char *	argv[] )

Main function.

Parameters

argc	commandline argument count (ignored)
argv	commandline array of arguments (ignored)

Returns

0 on exit

Definition at line 323 of file random_pivot_quick_sort.cpp.

                                 {
    test();  // Executes various test cases.
 
    const int64_t inputSize = 10;
    std::array<int64_t, inputSize> unsorted_array =
        sorting::random_pivot_quick_sort::generateUnsortedArray<inputSize>(
            50, 1000);
    std::cout << "Unsorted array is : " << std::endl;
    sorting::random_pivot_quick_sort::showArray(unsorted_array);
 
    std::array<int64_t, inputSize> sorted_array =
        sorting::random_pivot_quick_sort::quickSortRP(
            unsorted_array, 0, unsorted_array.size() - 1);
    std::cout << "Sorted array is : " << std::endl;
    sorting::random_pivot_quick_sort::showArray(sorted_array);
    return 0;
}

partition()

template<size_t size>

std::tuple< int64_t, std::array< int64_t, size > > sorting::random_pivot_quick_sort::partition	(	std::array< int64_t, size >	arr,
		int64_t	start,
		int64_t	end )

A partition function which handles the partition logic of quick sort.

Template Parameters

size	size of the array to be passed as argument.

Parameters

start	The start index of the passed array
end	The ending index of the passed array

Returns

std::tuple<int64_t , std::array<int64_t , size>> A tuple of pivot index and pivot sorted array.

Definition at line 103 of file random_pivot_quick_sort.cpp.

                                                             {
    int64_t pivot = arr[end];  // Randomly selected element will be here from
                               // caller function (quickSortRP()).
    int64_t pInd = start;
 
    for (int64_t i = start; i < end; i++) {
        if (arr[i] <= pivot) {
            std::swap(arr[i], arr[pInd]);  // swapping the elements from current
                                           // index to pInd.
            pInd++;
        }
    }
    std::swap(arr[pInd],
              arr[end]);  // swapping the pivot element to its sorted position
    return std::make_tuple(pInd, arr);
}

quickSortRP()

template<size_t size>

std::array< int64_t, size > sorting::random_pivot_quick_sort::quickSortRP	(	std::array< int64_t, size >	arr,
		int64_t	start,
		int64_t	end )

Random pivot quick sort function. This function is the starting point of the algorithm.

Template Parameters

size	size of the array to be passed as argument.

Parameters

start	The start index of the passed array
end	The ending index of the passed array

Returns

std::array<int64_t , size> A fully sorted array in ascending order.

Definition at line 130 of file random_pivot_quick_sort.cpp.

                                                                  {
    if (start < end) {
        int64_t randomIndex = getRandomIndex(start, end);
 
        // switching the pivot with right most bound.
        std::swap(arr[end], arr[randomIndex]);
 
        int64_t pivotIndex = 0;
        // getting pivot index and pivot sorted array.
        std::tie(pivotIndex, arr) = partition(arr, start, end);
 
        // Recursively calling
        std::array<int64_t, arr.size()> rightSortingLeft =
            quickSortRP(arr, start, pivotIndex - 1);
        std::array<int64_t, arr.size()> full_sorted =
            quickSortRP(rightSortingLeft, pivotIndex + 1, end);
        arr = full_sorted;
    }
    return arr;
}

showArray()

template<size_t T>

void sorting::random_pivot_quick_sort::showArray

(

std::array< int64_t, T >

arr

)

Utility function to print the array.

Template Parameters

T	size of the array

Parameters

arr	array used to print its content

Returns

void

Definition at line 73 of file random_pivot_quick_sort.cpp.

                                         {
    for (int64_t i = 0; i < arr.size(); i++) {
        std::cout << arr[i] << " ";
    }
    std::cout << std::endl;
}

test()

static void test ( )

static

Self-test implementations.

Returns

void

Definition at line 312 of file random_pivot_quick_sort.cpp.

                   {
    TestCases tc = TestCases();
    tc.runTests();
}