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# Sorting Algorithms Requirements

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Sorting Algorithms Requirements
Description:
Your task is to write 4 C++ class templates that perform the following sorting algorithms on an array of
data:
1. Bubble sort (bubble.h)
2. Selection sort (selection.h)
3. Insertion sort (insertion.h)
4. Quick sort (quick.h)
All templates should contain a constructor that does the sorting and a print function that prints the
sorted array (elements separated by a single space). All functions take in a pointer to the head of the
array and an integer specifying the number of elements in the array. The function prototypes must be
as follows:
1. Bubble sort functions:
a. Bubble(T *, int);
b. void print(T *, int);
2. Selection sort functions:
a. Selection(T *, int);
b. void print(T *, int);
3. Insertion sort functions:
a. Insertion(T *, int);
b. void print(T *, int);
4. Quick sort functions:
a. Quick(T *, int);
b. void print(T *, int);
The templates should work on all standard integer and floating-point datatypes (i.e. int, char, float,
double, etc.)
Your templates should work with the following main.cpp file:
#include <random
#include <chrono
#include “bubble.h”
#include “selection.h”
#include “insertion.h”
#include “quick.h”
#define N 100000
using namespace std;
int main()
{
int i, seed, nums[N];
seed = std::chrono::system_clock::now().time_since_epoch().count();
std::default_random_engine generator(seed);
std::uniform_int_distribution<int distribution(0,999);
for (i=0; i<N; i++)
{
nums[i] = distribution(generator);
}
//Bubble <int s(nums, N);
//Selection <int s(nums, N);
//Insertion <int s(nums, N);
Quick <int s(nums, N);
s.print(nums, N);
return 0;
}
Notice that one of the 4 sort algorithms should be uncommented for any given compile/run cycle. Also,
N can be altered to adjust the size of the array.
Submission:
You should turn in the following to Canvas as a single zip file:
 bubble.h
 selection.h
 insertion.h
 quick.h
 A one-page or more report (as a PDF) analyzing the time performance of the different sorting
algorithms and how they relate to Big O notation. Use the Cygwin/Linux time utility to measure
program execution time and try different sizes of arrays. Include a plot of the collected data.

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